Fiorentina vs Atalanta prediction

Serie A
FiorentinaFiorentinaWDLLL
Thu, 29 Oct 202629/1019:45UK14°C · Clear
AtalantaAtalantaLLWLD
30.2%Home winFair odds 3.31
24.1%DrawFair odds 4.15
45.7%Away winFair odds 2.19
Most likely published score1-112.0%Fair odds 8.34

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined79.1%
Draw or Atalanta69.8%
Under 3.5 goalsBoth teams combined67%

Prediction snapshot · Model generated .

Our verdict

Road2Sushi's own call on this match: the likeliest result, how confident the model is, its strongest signals and the reasons behind them.

Every percentage is a model estimate and every fair price is 1 divided by that estimate. Neither is a bookmaker offer, and a model call is not a proven edge over the market.

Model pick

Atalanta
Match winner (1X2)45.7%
Fair odds2.19
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel79.1%
Fair oddsFair1.26
Double chance marketDraw or Atalanta
Model estimateModel69.8%
Fair oddsFair1.43
Corners marketOver 7.5 corners
Model estimateModel65.4%
Fair oddsFair1.53

Model read

Atalanta lead the result estimates at 45.7%. The match still has meaningful room for a draw or an opponent win. Over 7.5 shots on target · both teams Read full analysisShow less

Atalanta lead the result estimates at 45.7%. The match still has meaningful room for a draw or an opponent win. Over 7.5 shots on target · both teams stands out at 62.5%. The estimate leans this way, with substantial uncertainty remaining. Without a complete matching price comparison, this is an event read rather than a verified price opportunity. The overall match assessment has not cleared the model's betting filters; this market read does not override that decision.

Over 7.5 shots on target · both teams

Model estimate
62.5%
Fair odds
1.60

Both teams to score

Model estimate
58.5%
Fair odds
1.71

Under 9.5 corners · both teams

Model estimate
56.7%
Fair odds
1.76

Context & limits

  • Fiorentina: 1 wins, 1 draws and 3 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Atalanta: 1 wins, 1 draws and 3 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 5 recorded meetings averaged 3.0 goals. This is a historical sample, not a forecast for this fixture.
  • Recorded season averages: Fiorentina 5.0 and Atalanta 5.1 shots on target per game. These are team averages, not a forecast of this match total.
  • Player watch: Moise Kean (Fiorentina) records 1.47 shots on target per 90 minutes over 4169 recorded minutes. This is a recent-form rate, not a guaranteed starting place or a price advantage.
  • Some displayed estimates have limited validation. Read those percentages as a range, not a precise prediction.
  • A complete matching price comparison is unavailable for this selection, so a price edge cannot be established.
Additional match context

Fiorentina versus Atalanta on 29 October 2026 tilts towards Atalanta in our numbers (46%), with plenty left over for the other outcomes. The numbers that frame it: • Notably, the model is warmer on Atalanta than the market (31%). We flag disagreement rather than hide it. • Totals sit close to the fence: 55% for Over 2.5 with both teams to score at 58%. • For shots markets, Moise Kean is the obvious watch at 1.5 on target per 90 in recent data. • The run in: Fiorentina arrive W1 D1 L4, Atalanta W1 D1 L4. History adds colour: across the last 5 meetings it is 2 wins for Fiorentina, 1 draws and 2 for Atalanta at 3.0 goals per match. Discipline says sit it out: trust gate: NO_TRUST (segment historically unreliable).

Form & head-to-head

Recent form uses each club’s available results in their stored order. Select a W/D/L result for details.

Head-to-head figures use their own recorded sample. Where individual results are available, the figures and journal cover the same meetings. Missing results are never counted as draws.

FiorentinaFiorentinaLast 5
W
Win · 4-2
D
Draw · 1-1
L
Loss · 1-2
L
Loss · 1-3
L
Loss · 1-2

1 win · 1 draw · 3 losses

AtalantaAtalantaLast 5
L
Loss · 1-2
L
Loss · 0-2
W
Win · 3-1
L
Loss · 2-3
D
Draw · 4-4

1 win · 1 draw · 3 losses

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

2FiorentinaFiorentina wins
1Draws
2AtalantaAtalanta wins
3.0Average goals
Date
Home team
Score
Away team
FiorentinaFiorentina
1 – 1
AtalantaAtalanta
AtalantaAtalanta
2 – 0
FiorentinaFiorentina
FiorentinaFiorentina
1 – 0
AtalantaAtalanta
AtalantaAtalanta
3 – 2
FiorentinaFiorentina
AtalantaAtalanta
2 – 3
FiorentinaFiorentina

Odds: model vs bookmaker

Every price for this match in one place: the model's probabilities next to the bookmaker's, the bookmaker's prices with our gap, and the model's own fair odds for each market.

Bookmaker probabilities are de-vigged (the margin is removed) and come from one bookmaker. A gap between the model and that bookmaker is a disagreement, not a proven edge. Fair odds are 1 divided by the model probability, not a bookmaker quote.

Model vs market

Model estimates and recorded bookmaker probabilities.

1X2, Goals, Corners, Cards and Shots: Bet365 prices via API-Football, observed 28 Oct 2026, 13:57 UTC, with the bookmaker margin taken out.

A market probability is the bookmaker's own price with its margin taken out, so the outcomes of each line add up to 100%. A gap from our model is a disagreement, not a proven edge: when we tested 1X2 and goal totals on matches the model had never seen, the bookmaker's closing price was more accurate. For corners, cards and shots we have no such test.

Cards: the bookmaker settles on its own card count, which may include red cards. Our model counts yellow cards only.

Shots: the bookmaker settles on its own shot count, which can differ from the match statistics our model learns from.

1X2

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 30.2%
Fiorentina

Model minus market: -13.3 pp
Market probability: 43.5%
Model probability: 24.1%
Draw

Model minus market: -2.0 pp
Market probability: 26.1%
Model probability: 45.7%
Atalanta

Model minus market: +15.2 pp
Market probability: 30.5%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 93.9%
Over 0.5 goals

Model minus market: -1.3 pp
Market probability: 95.2%
Model probability: 6.1%
Under 0.5 goals

Model minus market: +1.3 pp
Market probability: 4.8%
Model probability: 79.1%
Over 1.5 goals

Model minus market: -1.5 pp
Market probability: 80.6%
Model probability: 20.9%
Under 1.5 goals

Model minus market: +1.5 pp
Market probability: 19.4%
Model probability: 55.4%
Over 2.5 goals

Model minus market: -3.7 pp
Market probability: 59.1%
Model probability: 44.6%
Under 2.5 goals

Model minus market: +3.7 pp
Market probability: 40.9%
Model probability: 33.0%
Over 3.5 goals

Model minus market: -4.3 pp
Market probability: 37.3%
Model probability: 67.0%
Under 3.5 goals

Model minus market: +4.3 pp
Market probability: 62.7%
Model probability: 16.8%
Over 4.5 goals

Model minus market: -2.6 pp
Market probability: 19.4%
Model probability: 83.2%
Under 4.5 goals

Model minus market: +2.6 pp
Market probability: 80.6%
Model probability: 7.4%
Over 5.5 goals

Model minus market: -2.5 pp
Market probability: 10.0%
Model probability: 92.6%
Under 5.5 goals

Model minus market: +2.5 pp
Market probability: 90.1%
Model probability: 58.5%
Both teams to score · Yes

Model minus market: -4.8 pp
Market probability: 63.3%
Model probability: 41.5%
Both teams to score · No

Model minus market: +4.8 pp
Market probability: 36.7%

Cards

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 66.3%
Over 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 33.7%
Under 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 45.4%
Over 3.5 yellow cards

Model minus market: -12.7 pp
Market probability: 58.1%
Model probability: 54.6%
Under 3.5 yellow cards

Model minus market: +12.7 pp
Market probability: 41.9%
Model probability: 27.5%
Over 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 72.6%
Under 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 14.8%
Over 5.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 85.2%
Under 5.5 yellow cards

Model minus market: —
Market probability: —

Corners

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 65.4%
Over 7.5 corners

Model minus market: —
Market probability: —
Model probability: 34.6%
Under 7.5 corners

Model minus market: —
Market probability: —
Model probability: 54.2%
Over 8.5 corners

Model minus market: +0.3 pp
Market probability: 53.9%
Model probability: 45.8%
Under 8.5 corners

Model minus market: -0.3 pp
Market probability: 46.1%
Model probability: 43.3%
Over 9.5 corners

Model minus market: —
Market probability: —
Model probability: 56.7%
Under 9.5 corners

Model minus market: —
Market probability: —
Model probability: 33.2%
Over 10.5 corners

Model minus market: —
Market probability: —
Model probability: 66.8%
Under 10.5 corners

Model minus market: —
Market probability: —
Model probability: 24.7%
Over 11.5 corners

Model minus market: —
Market probability: —
Model probability: 75.4%
Under 11.5 corners

Model minus market: —
Market probability: —
Model probability: 17.7%
Over 12.5 corners

Model minus market: —
Market probability: —
Model probability: 82.3%
Under 12.5 corners

Model minus market: —
Market probability: —

Shots

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 68.0%
Over 22.5 shots

Model minus market: —
Market probability: —
Model probability: 32.0%
Under 22.5 shots

Model minus market: —
Market probability: —
Model probability: 56.4%
Over 24.5 shots

Model minus market: —
Market probability: —
Model probability: 43.6%
Under 24.5 shots

Model minus market: —
Market probability: —
Model probability: 44.6%
Over 26.5 shots

Model minus market: —
Market probability: —
Model probability: 55.4%
Under 26.5 shots

Model minus market: —
Market probability: —
Model probability: 33.4%
Over 28.5 shots

Model minus market: -18.2 pp
Market probability: 51.6%
Model probability: 66.6%
Under 28.5 shots

Model minus market: +18.2 pp
Market probability: 48.4%
Model probability: 73.5%
Over 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 26.5%
Under 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 62.5%
Over 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 37.5%
Under 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 51.1%
Over 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 48.9%
Under 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 40.1%
Over 9.5 shots on target

Model minus market: -8.3 pp
Market probability: 48.4%
Model probability: 59.9%
Under 9.5 shots on target

Model minus market: +8.3 pp
Market probability: 51.6%

Bookmaker odds

Real bookmaker price (APIF:Pinnacle:4) next to our model fair price. Bookmaker prices include the bookmaker margin, so our margin-free fair price usually looks longer. We do not claim to beat the closing market.

Gap is our probability minus the probability the bookmaker price implies (1 divided by the price), in percentage points. Because the price includes the margin, most gaps are negative. Model highlights are outcomes where our probability is at least 15 points higher. A gap is a disagreement, not a proven edge.

Match result · 1X2

Fiorentina winBookmaker2.27Model fair3.31Model minus bookmaker probability, percentage points: -13.8 pp
DrawBookmaker3.73Model fair4.15Model minus bookmaker probability, percentage points: -2.7 pp
Atalanta winBookmaker3.07Model fair2.19Model minus bookmaker probability, percentage points: +13.1 pp

Goals · 2.5

Over 2.5 goalsBookmaker1.62Model fair1.81Model minus bookmaker probability, percentage points: -6.3 pp
Under 2.5 goalsBookmaker2.39Model fair2.24Model minus bookmaker probability, percentage points: +2.7 pp

Model fair odds

Our published model probability as a decimal price (1 divided by probability). A fair model price, not a bookmaker quote. Only the supported 1X2 calibration pool is calibrated; other markets retain their model estimates.

Match result

Fiorentina win3.31
Draw4.15
Atalanta win2.19
Both teams to score1.71

Goals

Over 0.5 goals1.06
Over 1.5 goals1.26
Over 2.5 goals1.81
Over 3.5 goals3.03
Fiorentina most3.31
Atalanta most2.26

Corners

Over 7.5 corners1.53
Over 8.5 corners1.84
Over 9.5 corners2.31
Over 10.5 corners3.01
Fiorentina most1.85
Atalanta most2.80

Cards

Over 2.5 cards1.51
Over 3.5 cards2.20
Over 4.5 cards3.64
Over 5.5 cards6.76
Fiorentina most2.86
Atalanta most2.31

Shots on target

Over 6.5 SoT1.36
Over 7.5 SoT1.60
Over 8.5 SoT1.96
Over 9.5 SoT2.49
Fiorentina most1.91
Atalanta most2.77

Shots

Over 22.5 shots1.47
Over 24.5 shots1.77
Over 26.5 shots2.24
Over 28.5 shots2.99
Fiorentina most1.62
Atalanta most3.06

Fouls

Over 20.5 fouls1.47
Over 22.5 fouls1.81
Over 24.5 fouls2.37

Corners

Both teams combined.

Over 7.5 corners65.4%1.53Likely
Over 8.5 corners54.2%1.84Close call
Over 9.5 corners43.3%2.31Unlikely
Over 10.5 corners33.2%3.01Unlikely
Over 11.5 corners24.7%4.06Long shot
Over 12.5 corners17.7%5.66Long shot
Read context

Both teams combined

Over 7.5 corners · Likely

Over 8.5 corners · Close call

Over 9.5 corners · Unlikely

Over 10.5 corners · Unlikely

Over 11.5 corners · Long shot

Over 12.5 corners · Long shot

Most corners

Each team has its own model probability; these outcomes are not renormalised.

Fiorentina

Model probability

54.1%Fair odds 1.85

Atalanta

Model probability

35.7%Fair odds 2.80

Read context

Each team has its own model probability; these outcomes are not renormalised.

Fiorentina

Atalanta

Shots

Both teams combined.

Over 22.5 shots68.0%1.47Likely
Over 24.5 shots56.4%1.77Close call
Over 26.5 shots44.6%2.24Unlikely
Over 28.5 shots33.4%2.99Unlikely
Over 6.5 on target73.5%1.36Likely
Over 7.5 on target62.5%1.60Likely
Over 8.5 on target51.1%1.96Close call
Over 9.5 on target40.1%2.49Unlikely
Read context

Both teams combined

Over 22.5 shots · Likely

Over 24.5 shots · Close call

Over 26.5 shots · Unlikely

Over 28.5 shots · Unlikely

Over 6.5 on target · Likely

Over 7.5 on target · Likely

Over 8.5 on target · Close call

Over 9.5 on target · Unlikely

What the model expects

The average number of shots and shots on target each team takes in the model's own distribution for this match, the same distribution the lines above come from. It is an average, not a betting line, and it is a model estimate, not a recorded result.

Model expected shots and shots on target, Fiorentina vs Atalanta
Model expects Shots On target
Fiorentina 14.1 4.8
Atalanta 11.7 4.1
Both teams 25.8 8.9

Recorded shots per game

Shots per game over each side's most recent league matches with shot data, and over the most recent matches at the venue of this match: Fiorentina at home and Atalanta away. These are recorded results, not predictions, and a missing value is never shown as zero.

Recorded shots per game over recent league matches
Last 6 matches Shots Faced On target
Fiorentina 14.8 14.8 5.3
Atalanta 15.8 18.7 5.3
Fiorentina at home 16.5 13.0 4.3
Atalanta away 11.8 17.3 4.2

Every shots line, home and away, by half

Totals line guide

Both teams combined.

Over 0.593.9%Over 1.579.1%Over 2.555.4%Over 3.533.0%Over 4.516.8%Over 5.57.4%
Recommended focusOver 1.579.1%

Discipline: Fairly priced. Trust gate: NO_TRUST (segment historically unreliable).

Read context

Both teams combined. Each bar uses the stored model estimate for that exact total-goals line. Missing estimates are unavailable; they are not zero.

Fair odds are the model’s own probability price, not a published bookmaker offer.

Market explorer

Model probabilities and fair odds.

Each bar is a specific Over selection for both teams combined. Its height is the model probability, on the same 0–100% scale.

Risk describes estimated likelihood, not profitability: low risk at least 62%, medium 48% to under 62%, high below 48%. Colors follow the actual estimate, even when a risk band is missing.

Up to four markets are selected from available model data, prioritising a spread of risk profiles. Fair odds are calculated from the model, not bookmaker prices: 1 divided by probability.

Scores are exact home-away outcomes from zero to five goals per team. Unavailable estimates stay blank; partial inputs are not expanded, inferred or normalised. Scores outside the matrix remain eligible for the top three.

Low riskMedium riskHigh risk

Goals

Over 1.51.5 goals, Low risk
Model probability 79.1%
Fair odds Fair 1.26
Over 2.52.5 goals, Medium risk
Model probability 55.4%
Fair odds Fair 1.81
Over 3.53.5 goals, High risk
Model probability 33.0%
Fair odds Fair 3.03

Corners

Over 7.57.5 corners, Low risk
Model probability 65.4%
Fair odds Fair 1.53
Over 8.58.5 corners, Medium risk
Model probability 54.2%
Fair odds Fair 1.84
Over 10.510.5 corners, High risk
Model probability 33.2%
Fair odds Fair 3.01

Shots

Over 22.522.5 shots, Low risk
Model probability 68.0%
Fair odds Fair 1.47
Over 24.524.5 shots, Medium risk
Model probability 56.4%
Fair odds Fair 1.77
Over 28.528.5 shots, High risk
Model probability 33.4%
Fair odds Fair 2.99

Shots on target

Over 6.56.5 shots on target, Low risk
Model probability 73.5%
Fair odds Fair 1.36
Over 8.58.5 shots on target, Medium risk
Model probability 51.1%
Fair odds Fair 1.96
Over 9.59.5 shots on target, High risk
Model probability 40.1%
Fair odds Fair 2.49
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-06.1%Fair odds 16.45 1-06.5%Fair odds 15.31 2-04.6%Fair odds 21.79 3-02.0%Fair odds 50.51 4-00.6%Fair odds 156.25 5-00.2%Fair odds 588.24
Away goals 1 0-18.3%Fair odds 12.06 1-112.0%Fair odds 8.34 2-17.4%Fair odds 13.57 3-13.2%Fair odds 31.45 4-11.0%Fair odds 97.09 5-10.3%Fair odds 370.37
Away goals 2 0-27.1%Fair odds 14.03 1-29.2%Fair odds 10.89 2-25.9%Fair odds 16.89 3-22.6%Fair odds 39.22 4-20.8%Fair odds 120.48 5-20.2%Fair odds 454.55
Away goals 3 0-33.8%Fair odds 26.11 1-34.9%Fair odds 20.33 2-33.2%Fair odds 31.55 3-31.4%Fair odds 72.99 4-30.4%Fair odds 227.27 5-30.1%Fair odds 833.33
Away goals 4 0-41.5%Fair odds 64.94 1-42.0%Fair odds 50.51 2-41.3%Fair odds 78.74 3-40.5%Fair odds 181.82 4-40.2%Fair odds 555.56 5-40.1%Fair odds 2,000.00
Away goals 5 0-50.5%Fair odds 200.00 1-50.6%Fair odds 156.25 2-50.4%Fair odds 243.90 3-50.2%Fair odds 555.56 4-50.1%Fair odds 1,666.67 5-50.0%Fair odds 10,000.00

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability12.0%
Fair odds8.34
1-2
Model probability9.2%
Fair odds10.89
0-1
Model probability8.3%
Fair odds12.06

Referee

One match referee is shown from an explicitly saved result or a fresh, identity-matched provider fixture. Previous referees are never used to guess an appointment. An API listing can change.

The referee’s totals count every completed match with this referee in our data: football-data.co.uk names the referee in English leagues, and API-Football names the referee of the same match (same teams, date and score) in every league from 2025/26. A rate needs at least 5 matches with that figure.

The team table shows each team’s published history with that same referee only. Matches, team cards per game and match cards per game are separate fields; their available samples can differ. Missing values are not zero. Cards include yellow and red cards in the current historical source.

Referee not confirmed

No referee assignment is confirmed in our data yet. We never guess one from past matches.

Season stats

2026/27 season. Recorded results, not model estimates.

FiorentinaFiorentina
AtalantaAtalanta

Overview

Statistic
Fiorentina
Atalanta
League position
#18 of 20
#11 of 20
Matches played
8
8
Record W-D-L
1-1-6
3-1-4
Recent form
WDLLL
Last 5 matches
LLWLD
Last 5 matches
Current streak
L3
D1
Points per game
0.50
1.25
Record, home vs away
0-1-3
0-0-3
PPG, home vs away
0.25
0.00

PPG scale: 0–3 points per game. Each team uses the same scale independently.

Show all season statsHide season stats

Goals

Statistic
Fiorentina
Atalanta
Goals scored per game
1.12
1.75
Goals conceded per game
2.38
1.88
Scored, home vs away
0.75
1.00
Conceded, home vs away
2.25
2.33
1st half goals per game
0.38
1.00
2nd half goals per game
0.75
0.75
xG for per game
1.44
1.62
xG against per game
1.98
2.19

Scale: 0–3 goals or expected goals (xG) per game. Each team uses the same scale independently.

Shooting

Statistic
Fiorentina
Atalanta
Shots per game
15.4
14.4
Shots faced per game
14.8
18.8
Shots on target per game
5.0
5.1
1st half shots per game
7.0
6.9
2nd half shots per game
8.4
7.5

Scale: 0–20 shots per game. Each team uses the same scale independently.

Corners & discipline

Statistic
Fiorentina
Atalanta
Corners won per game
4.8
4.0
Cards per game
—
1.0
Fouls per game
11.4
9.9
Red cards this season
—
2

0–10 corners per game; 0–5 cards per game; 0–20 fouls per game Each team uses the same scale independently.

Goal rates

Statistic
Fiorentina
Atalanta
Over 2.5 rate
87.5%
75.0%
BTTS rate
75.0%
75.0%
Clean sheets
0.0%
12.5%

Scale: 0–100% of recorded matches, not model estimates. Each team uses the same scale independently.

League averages this season: 3.12 goals per match · Over 2.5 in 60.2% · BTTS in 57.8%. Full league tables & stats →

First half / second half

Averages per game in this season’s league matches, split at half-time. Games is the number of each team’s matches with verified half data for that row; below five matches the row stays blank, and a missing value is never a zero.

Corners, shots on target and yellow cards per half come from the data provider’s half-by-half match statistics and are only used when the two halves add up to the full-time count. Cards are split by the minute they were shown, and first-half stoppage time counts as the first half. These are recorded results, not predictions.

In the Premier League, La Liga, Bundesliga, Serie A and Ligue 1 the shots per half come from a different source than the match shot totals, so the two can differ slightly.

FiorentinaFiorentina
Fiorentina: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.38 0.75 8
Goals concededConceded 1.12 1.25 8
Shots 7.0 8.4 8
Shots facedOpp. shots 7.0 7.9 8
Shots on targetOn target 2.5 2.5 8
Shots on target facedOpp. on target 3.0 3.1 8
Corners wonCorners 1.6 3.1 8
Corners concededOpp. corners 2.1 2.0 8
Yellow cardsYellows 0.8 1.7 6
Opponent yellow cardsOpp. yellows 0.8 1.2 6
AtalantaAtalanta
Atalanta: season average per game by half
Per game 1H 2H Games
Goals scoredScored 1.00 0.75 8
Goals concededConceded 0.88 1.00 8
Shots 6.9 7.5 8
Shots facedOpp. shots 7.8 11.0 8
Shots on targetOn target 2.5 2.6 8
Shots on target facedOpp. on target 2.5 3.9 8
Corners wonCorners 2.3 1.8 8
Corners concededOpp. corners 2.5 3.0 8
Yellow cardsYellows 0.3 0.6 8
Opponent yellow cardsOpp. yellows 0.8 0.3 8

Players to watch

Published player-market probabilities, shown in kickoff order. Model estimates, not confirmed lineups.

How our football predictions work →

A watch list, not a confirmed lineup.

FiorentinaFiorentina (3)
Moise Kean
Watch list
Prediction markets
Model %
Fair odds
Save
To score
35.4%
2.82
1+ shot on target
72.3%
1.38
2+ shots
83.2%
1.20
Per 90 minutes (recent averages)
Shots3.69
On target1.47
Goals0.50
Beto
Watch list
Prediction markets
Model %
Fair odds
Save
To score
20.6%
4.85
1+ shot on target
42.8%
2.34
2+ shots
40.3%
2.48
Per 90 minutes (recent averages)
Shots2.70
On target1.09
Goals0.45
Franco Mastantuono
Watch list
Prediction markets
Model %
Fair odds
Save
To score
12.2%
8.20
1+ shot on target
40.3%
2.48
2+ shots
56.7%
1.76
Per 90 minutes (recent averages)
Shots3.21
On target0.87
Goals0.22
AtalantaAtalanta (3)
Gianluca Scamacca
Watch list
Prediction markets
Model %
Fair odds
Save
To score
29.2%
3.42
1+ shot on target
55.7%
1.80
2+ shots
59.5%
1.68
Per 90 minutes (recent averages)
Shots3.59
On target1.46
Goals0.62
Nikola Krstovic
Watch list
Prediction markets
Model %
Fair odds
Save
To score
30.6%
3.27
1+ shot on target
64.3%
1.56
2+ shots
83.0%
1.20
Per 90 minutes (recent averages)
Shots4.39
On target1.41
Goals0.50
Giacomo Raspadori
Watch list
Prediction markets
Model %
Fair odds
Save
To score
18.3%
5.46
1+ shot on target
42.8%
2.34
2+ shots
45.5%
2.20
Per 90 minutes (recent averages)
Shots3.36
On target1.22
Goals0.44
All model outcomes · full market spectrum & player markets

Shots

Over 22.5 68.0% Over 24.5 56.4% Over 26.5 44.6% Over 28.5 33.4%
Most: Fiorentina 61.7% Most: Atalanta 32.7%
Fiorentina Over 10.5 75.8%
Fiorentina Over 12.5 60.9%
Fiorentina Over 14.5 45.3% Atalanta Over 10.5 57.3%
Atalanta Over 12.5 39.9%
Atalanta Over 14.5 25.3%

Shots on target

Over 6.5 73.5% Over 7.5 62.5% Over 8.5 51.1% Over 9.5 40.1%
Most: Fiorentina 52.4% Most: Atalanta 36.1%
Fiorentina Over 3.5 65.7%
Fiorentina Over 4.5 50.0%
Fiorentina Over 5.5 35.7% Atalanta Over 3.5 54.8%
Atalanta Over 4.5 38.3%
Atalanta Over 5.5 24.8%

Cards

Over 2.5 66.3% Over 3.5 45.4% Over 4.5 27.5% Over 5.5 14.8%
Most: Fiorentina 35.0% Most: Atalanta 43.2%
Fiorentina Over 1.5 47.8%
Fiorentina Over 2.5 22.9% Atalanta Over 1.5 53.9%
Atalanta Over 2.5 28.3%

Fiorentina: players to watch (recent-form projection)

Each number is the player’s recent rate per 90 minutes, scaled to how long we expect them to play. Only players in this season’s squad appear. It is a projection from recent form, not a confirmed lineup: nobody has announced the team yet.

Player Shots/90 SoT/90 Goals/90 1+ SoT 2+ shots To score
Moise Kean 3.69 1.47 0.5 72.3% 83.2% 35.4%
Beto 2.7 1.09 0.45 42.8% 40.3% 20.6%
Franco Mastantuono 3.21 0.87 0.22 40.3% 56.7% 12.2%
Alieu Njie 2.04 0.77 0.09 22.8% 15.1% 3.0%
Albert Gudmundsson 1.76 0.72 0.23 38.6% 33.5% 14.4%

Atalanta: players to watch (recent-form projection)

Each number is the player’s recent rate per 90 minutes, scaled to how long we expect them to play. Only players in this season’s squad appear. It is a projection from recent form, not a confirmed lineup: nobody has announced the team yet.

Player Shots/90 SoT/90 Goals/90 1+ SoT 2+ shots To score
Gianluca Scamacca 3.59 1.46 0.62 55.7% 59.5% 29.2%
Nikola Krstovic 4.39 1.41 0.5 64.3% 83.0% 30.6%
Giacomo Raspadori 3.36 1.22 0.44 42.8% 45.5% 18.3%
Jonathan Rowe 3.01 1 0.14 40.9% 46.9% 7.1%
Lazar Samardzic 2.38 0.73 0.16 26.8% 27.1% 6.6%

Clean sheet & win to nil

Worked out from the scoreline grid above: a clean sheet is every scoreline where the other side fails to score. It is the model’s own percentage, scored against the result afterwards, and it is not a tip.

Fiorentina clean sheet 20.0%
Atalanta clean sheet 27.4%
Fiorentina win to nil 13.9%
Atalanta win to nil 21.3%

Full market spectrum · model probabilities

The model’s own percentages, with no odds attached. The smaller markets are here so you can see everything we hold a number on, not because we claim an advantage in them. The colour says how close our percentages have landed to reality on matches the model had never seen. This is the raw model spectrum. Its match-result marginal can differ from the published 1X2 above; it does not replace the saved prediction.

Match result & goals calibrated
1×2
home 30.2% draw 25.6% away 44.3%
double_chance
1X 55.8% 12 74.5% X2 69.8%
dnb
home 40.6% away 59.5%
btts
yes 58.5% no 41.5%
clean_sheet
home 20.0% away 27.5%
win_to_nil
home 14.0% away 21.5%
winning_margin
home_by_1 17.0% home_by_2 8.7% home_by_3plus 4.5%
away_by_1 21.3% away_by_2 13.5% away_by_3plus 9.5%
correct_score
0-0 6.1% 0-1 8.3% 0-2 7.1%
0-3 3.8% 0-4 1.5% 0-5 0.5%
1-0 6.5% 1-1 12.0% 1-2 9.2%
1-3 4.9% 1-4 2.0% 1-5 0.6%
2-0 4.6% 2-1 7.4% 2-2 5.9%
2-3 3.2% 2-4 1.3% 2-5 0.4%
3-0 2.0% 3-1 3.2% 3-2 2.6%
3-3 1.4% 3-4 0.5% 3-5 0.2%
4-0 0.6% 4-1 1.0% 4-2 0.8%
4-3 0.4% 4-4 0.2% 4-5 0.1%
5-0 0.2% 5-1 0.3% 5-2 0.2%
5-3 0.1% 5-4 0.1% 5-5 0.0%
other 0.8%
likeliest_score
h 100.0% a 100.0% p 12.0%
Goals: totals / handicap / exact calibrated
total
over_0.5 93.9% under_0.5 6.1% over_1.5 79.1%
under_1.5 20.9% over_2.5 55.4% under_2.5 44.6%
over_3.5 33.0% under_3.5 67.0% over_4.5 16.8%
under_4.5 83.2% over_5.5 7.4% under_5.5 92.6%
odd_even
odd 48.7% even 51.3%
team_home
over_0.5 72.5% under_0.5 27.5% over_1.5 37.0%
under_1.5 63.0% over_2.5 14.1% under_2.5 85.9%
team_away
over_0.5 80.0% under_0.5 20.0% over_1.5 47.8%
under_1.5 52.3% over_2.5 21.9% under_2.5 78.1%
most
home 30.2% draw 25.6% away 44.3%
handicap
home_-2.5 4.5% away_+2.5 95.5% home_-1.5 13.3%
away_+1.5 86.8% home_-0.5 30.2% away_+0.5 69.8%
home_+0.5 55.7% away_-0.5 44.3% home_+1.5 77.0%
away_-1.5 23.0% home_+2.5 90.5% away_-2.5 9.5%
total_exact
exact_0 6.1% exact_1 14.8% exact_2 23.7%
exact_3 22.4% exact_4 16.2% exact_5 9.4%
exact_6 4.5% exact_7plus 2.9%
First half range, not a point
1×2
home 23.9% draw 37.7% away 38.4%
total
over_0.5 75.5% under_0.5 24.5% over_1.5 41.0%
under_1.5 59.0% over_2.5 16.8% under_2.5 83.2%
btts
yes 24.8% no 75.2%
total_exact
exact_0 24.5% exact_1 34.5% exact_2 24.2%
exact_3 11.4% exact_4plus 5.5%
Second half range, not a point
1×2
home 25.8% draw 37.0% away 37.3%
total
over_0.5 77.0% under_0.5 23.1% over_1.5 43.1%
under_1.5 56.9% over_2.5 18.3% under_2.5 81.7%
btts
yes 26.6% no 73.4%
Half-time / full-time range, not a point
H/H 16.5% H/D 4.9% H/A 2.4%
D/H 9.7% D/D 14.0% D/A 14.1%
A/H 1.9% A/D 5.4% A/A 31.1%
Corners range, not a point
total
over_7.5 65.4% under_7.5 34.6% over_8.5 54.2%
under_8.5 45.8% over_9.5 43.3% under_9.5 56.7%
over_10.5 33.2% under_10.5 66.8% over_11.5 24.7%
under_11.5 75.4% over_12.5 17.7% under_12.5 82.3%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 67.4% under_3.5 32.6% over_4.5 52.8%
under_4.5 47.2% over_5.5 39.2% under_5.5 60.8%
team_away
over_3.5 54.6% under_3.5 45.4% over_4.5 38.9%
under_4.5 61.1% over_5.5 26.1% under_5.5 73.9%
most
home 54.1% draw 10.2% away 35.7%
handicap
home_-3.5 25.1% away_+3.5 74.9% home_-1.5 43.6%
away_+1.5 56.4% home_-0.5 54.1% away_+0.5 46.0%
home_+0.5 64.3% away_-0.5 35.7% home_+1.5 73.5%
away_-1.5 26.5% home_+3.5 87.4% away_-3.5 12.6%
Shots range, not a point
total
over_22.5 68.0% under_22.5 32.0% over_24.5 56.4%
under_24.5 43.6% over_26.5 44.6% under_26.5 55.4%
over_28.5 33.4% under_28.5 66.6%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 75.8% under_10.5 24.2% over_12.5 60.9%
under_12.5 39.1% over_14.5 45.3% under_14.5 54.7%
team_away
over_10.5 57.3% under_10.5 42.7% over_12.5 39.9%
under_12.5 60.1% over_14.5 25.3% under_14.5 74.7%
most
home 61.7% draw 5.6% away 32.7%
handicap
home_-4.5 38.0% away_+4.5 62.0% home_-2.5 49.9%
away_+2.5 50.1% home_-0.5 61.7% away_+0.5 38.3%
home_+0.5 67.4% away_-0.5 32.7% home_+2.5 77.4%
away_-2.5 22.6% home_+4.5 85.4% away_-4.5 14.6%
Shots on target range, not a point
total
over_6.5 73.5% under_6.5 26.5% over_7.5 62.5%
under_7.5 37.5% over_8.5 51.1% under_8.5 48.9%
over_9.5 40.1% under_9.5 59.9%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 65.7% under_3.5 34.3% over_4.5 50.0%
under_4.5 50.0% over_5.5 35.7% under_5.5 64.3%
team_away
over_3.5 54.8% under_3.5 45.2% over_4.5 38.3%
under_4.5 61.7% over_5.5 24.8% under_5.5 75.2%
most
home 52.4% draw 11.5% away 36.1%
handicap
home_-2.5 30.0% away_+2.5 70.0% home_-0.5 52.4%
away_+0.5 47.6% home_+0.5 63.9% away_-0.5 36.1%
home_+2.5 82.7% away_-2.5 17.3%
Cards calibrated
total
over_2.5 66.3% under_2.5 33.7% over_3.5 45.4%
under_3.5 54.6% over_4.5 27.5% under_4.5 72.6%
over_5.5 14.8% under_5.5 85.2%
odd_even
odd 49.9% even 50.1%
team_home
over_1.5 47.8% under_1.5 52.2% over_2.5 22.9%
under_2.5 77.1%
team_away
over_1.5 53.9% under_1.5 46.1% over_2.5 28.3%
under_2.5 71.7%
most
home 35.0% draw 21.8% away 43.2%
handicap
home_-1.5 17.8% away_+1.5 82.2% home_-0.5 35.0%
away_+0.5 65.0% home_+0.5 56.8% away_-0.5 43.2%
home_+1.5 76.1% away_-1.5 24.0%
Fouls calibrated
total
over_20.5 68.2% under_20.5 31.8% over_22.5 55.2%
under_22.5 44.8% over_24.5 42.2% under_24.5 57.8%
odd_even
odd 50.0% even 50.0%
team_home
over_9.5 59.2% under_9.5 40.8% over_11.5 39.6%
under_11.5 60.4% over_13.5 23.5% under_13.5 76.5%
team_away
over_9.5 76.1% under_9.5 23.9% over_11.5 59.2%
under_11.5 40.8% over_13.5 41.7% under_13.5 58.4%
most
home 33.2% draw 6.3% away 60.4%
handicap
home_-3.5 17.4% away_+3.5 82.6% home_-0.5 33.2%
away_+0.5 66.8% home_+2.5 52.9% away_-2.5 47.1%
Red card range, not a point
any
yes 12.8% no 87.2%
home
yes 3.5% no 96.5%
away
yes 9.7% no 90.3%
Method, limits & performance

How this works (honestly)

We are transparent about our method, our limits and how we measure performance.

What we use

Results, odds & closing prices, xG, shots, lineups, referee and schedule load.

Our method

Dixon-Coles + an xG strength model + champion/challenger selection + probability calibration + a trust gate.

What we don’t do

We do not beat the sharp market. The value is honest probabilities, No-bet calls and CLV.

Performance snapshot

Top-pick hit rate 47.7% (reliability, not edge). Calibration error 0.0106 (56038 matches).

Not financial advice. No model beats the sharp closing market on public data. The value here is honest probabilities, No-bet calls, and CLV history.

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