Roma vs Fiorentina prediction & probabilities (2026-08-24)

Roma vs Fiorentina: model prediction

Serie A
Roma

WWWWW

Full time4-0Mon, 24 Aug 202619:45UK30°C · Clearing
Fiorentina

DLDWD

Model’s top convictions

81%

Roma or draw

73%

Over 1.5 goals

53%

Under 2.5 goals

Full time1 of 2 calls right

Roma 4-0 Fiorentina
✓ Result✕ Over 2.5 goals✓ Both teams to score
2 of 3 published calls on this match were right.

Our most likely call was Roma at 55.6%, and it was correct. We called Under 2.5 at 53.3% and it missed (4 goals). We called No at 51.1% and it landed.

Judged against the prediction this page published before kickoff. Right or wrong, it stays on the record.

Prediction summary

Top 3 convictions

Model’s best bet
RomaWin probability
55.6%
Top 3 convictions

Roma or draw81.4%High probabilityPays @ 1.23
Over 1.5 goals72.7%Strong chancePays @ 1.38
Under 2.5 goals53.3%Good chancePays @ 1.88

Model read

"Roma or Fiorentina? We publish probabilities, not certainties." On paper this is one way traffic: the calibrated model makes Roma heavy favourites at 56% when Roma meet Fiorentina in the Serie A on 24 August 2026. Worth knowing: bookmakers rate Roma higher (62%) than our model does. Totals sit close to the fence: 47% for Over 2.5 with both teams to score at 49%. Donyell Malen drives the home shot volume, 1.9 on target per 90. Form guide over the last six: Roma W5 D1 L0, Fiorentina W1 D4 L1. The forecast adds a wrinkle: 30 degrees of heat. Head to head, the last 5 meetings gave 3 wins for Roma, 1 draws and 1 for Fiorentina, averaging 3.6 goals a game. Verdict: no bet. Conservative ev -0.005 <= 0.

Value & higher-risk angles

High risk

Over 8.5 corners47.9%@ 2.09
Over 2.5 goals46.7%@ 2.14
Draw or Fiorentina44.5%@ 2.25
Medium risk

Not both teams to score51.1%@ 1.96
Random finds

1-1 correct score12.3%@ 8.10
1-0 correct score12.2%@ 8.23
2-0 correct score10.3%@ 9.69

Lower-probability calls our model rates above the obvious price; random finds are high-return scorelines that can happen. Higher risk, not a tip; we never beat the sharp market.

Model vs market

Roma

55.6%-5.9%

Draw

25.9%+3.2%

Fiorentina

18.6%+2.8%

ModelMarket

conservative EV -0.005 <= 0

Goals markets

★ StrongestOver 1.572.7%

Strong chance

Over 2.546.7%

Reasonable chance

BTTS · Yes48.9%

Reasonable chance

Corners markets

Over 8.547.9%

Reasonable chance

Over 9.538.2%

Toss-up

Over 10.529.6%

Low chance

Over 11.522.4%

Low chance

Most cornersRoma59.5%Fiorentina30.2%

Shots markets

Over 22.556.7%

Good chance

Over 24.544.6%

Reasonable chance

Over 26.533.2%

Toss-up

Over 28.523.3%

Low chance

Totals line guide

0.5·1.572.7%2.546.7%3.5·4.5·
Our pre-match focusOver 1.572.7%

Before kick-off our call was Fairly priced. The match has been played, so this is a historical snapshot: the graded result is below.

Form & head-to-head

RomaWWWWW
FiorentinaDLDWD

Last 5 meetings: Roma 3 · 1 draws · Fiorentina 1 · 3.6 goals/game.

2026-05-04Roma 4-0 Fiorentina
2025-10-05Fiorentina 1-2 Roma
2025-05-04Roma 1-0 Fiorentina
2024-10-27Fiorentina 5-1 Roma
2024-03-10Fiorentina 2-2 Roma

Players to watch

Top 3 per side by recent form, this season’s squad only, a watch list, not a confirmed lineup

Donyell MalenRoma · key player
To score54.0%

@ 1.85

1+ on target82.1%

@ 1.22

2+ shots90.0%

@ 1.11

Shots/90 4.2SoT/90 1.86Goals/90 0.84
Moise KeanFiorentina · key player
To score37.7%

@ 2.65

1+ on target73.6%

@ 1.36

2+ shots86.7%

@ 1.15

Shots/90 3.87SoT/90 1.46Goals/90 0.52
Evan FergusonRoma · in form
To score17.2%

@ 5.81

1+ on target58.3%

@ 1.72

2+ shots48.3%

@ 2.07

Shots/90 3.01SoT/90 1.62Goals/90 0.35
Roberto PiccoliFiorentina · in form
To score11.9%

@ 8.40

1+ on target39.3%

@ 2.54

2+ shots43.2%

@ 2.31

Shots/90 2.56SoT/90 0.87Goals/90 0.22
Paulo DybalaRoma · in form
To score16.3%

@ 6.13

1+ on target55.1%

@ 1.81

2+ shots60.6%

@ 1.65

Shots/90 2.99SoT/90 1.17Goals/90 0.26
Albert GudmundssonFiorentina · in form
To score17.7%

@ 5.65

1+ on target39.9%

@ 2.51

2+ shots33.4%

@ 2.99

Shots/90 1.71SoT/90 0.73Goals/90 0.28

Bookmaker odds

Real bookmaker price (Bet365) 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.

BookmakerOur fair
Roma win1.571.80
Draw4.103.87
Fiorentina win5.755.38
Over 2.5 goals1.882.14
Under 2.5 goals1.981.88

Model fair odds

Our calibrated probability as a decimal price (1 divided by probability). A fair model price, not a bookmaker quote.

Match result

Roma win1.88
Draw3.85
Fiorentina win4.79
Both teams to score2.04

Goals

Over 0.5 goals1.09
Over 1.5 goals1.38
Over 2.5 goals2.14
Over 3.5 goals3.97
Roma most1.88
Fiorentina most4.79

Corners

Over 7.5 corners1.66
Over 8.5 corners2.05
Over 9.5 corners2.62
Over 10.5 corners3.48
Roma most1.68
Fiorentina most3.31

Cards

Over 2.5 cards1.29
Over 3.5 cards1.71
Over 4.5 cards2.53
Over 5.5 cards4.21
Roma most3.23
Fiorentina most2.02

Shots on target

Over 6.5 SoT1.51
Over 7.5 SoT1.82
Over 8.5 SoT2.29
Over 9.5 SoT2.97
Roma most1.56
Fiorentina most3.94

Shots

Over 22.5 shots1.76
Over 24.5 shots2.24
Over 26.5 shots3.01
Over 28.5 shots4.29
Roma most1.45
Fiorentina most3.90

Fouls

Over 20.5 fouls1.19
Over 22.5 fouls1.35
Over 24.5 fouls1.60
All model outcomes · full market spectrum & player markets

Shots on target

Over 6.5 66.3% Over 7.5 54.9% Over 8.5 43.7% Over 9.5 33.6%
Most: Roma 64.0% Most: Fiorentina 25.4%
Roma Over 4.2 52.5% Fiorentina Over 4.2 24.4%

Cards

Over 2.5 77.3% Over 3.5 58.5% Over 4.5 39.5%
Most: Roma 31.0% Most: Fiorentina 49.4%
Roma Over 1.8 53.6% Fiorentina Over 1.8 66.4%

Roma: players to watch (recent-form projection)

O/U = Poisson on per-90 rates scaled to the player’s expected minutes · this season’s squad, a recent-form projection, not a confirmed lineup.

Player Shots/90 SoT/90 Goals/90 1+ SoT 2+ shots To score
Donyell Malen 4.2 1.86 0.84 82.1% 90.0% 54.0%
Evan Ferguson 3.01 1.62 0.35 58.3% 48.3% 17.2%
Paulo Dybala 2.99 1.17 0.26 55.1% 60.6% 16.3%
Eldor Shomurodov 2.41 1.08 0.33 38.2% 29.1% 13.7%
Artem Dovbyk 2.38 1.06 0.49 51.0% 47.6% 28.1%

Fiorentina: players to watch (recent-form projection)

O/U = Poisson on per-90 rates scaled to the player’s expected minutes · this season’s squad, a recent-form projection, not a confirmed lineup.

Player Shots/90 SoT/90 Goals/90 1+ SoT 2+ shots To score
Moise Kean 3.87 1.46 0.52 73.6% 86.7% 37.7%
Roberto Piccoli 2.56 0.87 0.22 39.3% 43.2% 11.9%
Albert Gudmundsson 1.71 0.73 0.28 39.9% 33.4% 17.7%
Riccardo Sottil 2.44 0.66 0.11 29.6% 37.2% 5.7%
Rolando Mandragora 2.06 0.64 0.23 39.2% 47.5% 16.4%

Clean sheet & win to nil

Roma clean sheet 39.5%
Fiorentina clean sheet 19.8%
Roma win to nil 31.0%
Fiorentina win to nil 11.3%

Derived from the model score matrix above: a clean sheet is every scoreline where the opponent is on zero. Calibration-graded, not a tip.

Full market spectrum · model probabilities

Calibration-graded model %, no odds attached. Niche markets are transparency/coverage, not a claimed edge. Colour = measured out-of-sample calibration.

Match result & goals calibrated
1×2
home 53.1% draw 26.0% away 20.9%
double_chance
1X 79.1% 12 74.0% X2 46.9%
dnb
home 71.8% away 28.2%
btts
yes 48.9% no 51.1%
clean_sheet
home 39.8% away 19.8%
win_to_nil
home 31.3% away 11.4%
winning_margin
home_by_1 24.3% home_by_2 16.5% home_by_3plus 12.3%
away_by_1 13.6% away_by_2 5.4% away_by_3plus 1.9%
correct_score
0-0 8.5% 0-1 6.7% 0-2 3.4%
0-3 1.0% 0-4 0.2% 0-5 0.0%
1-0 12.2% 1-1 12.3% 1-2 5.4%
1-3 1.7% 1-4 0.4% 1-5 0.1%
2-0 10.3% 2-1 9.5% 2-2 4.4%
2-3 1.4% 2-4 0.3% 2-5 0.1%
3-0 5.6% 3-1 5.1% 3-2 2.4%
3-3 0.7% 3-4 0.2% 3-5 0.0%
4-0 2.3% 4-1 2.1% 4-2 1.0%
4-3 0.3% 4-4 0.1% 4-5 0.0%
5-0 0.7% 5-1 0.7% 5-2 0.3%
5-3 0.1% 5-4 0.0% 5-5 0.0%
other 0.7%
likeliest_score
h 100.0% a 100.0% p 12.3%
Goals: totals / handicap / exact calibrated
total
over_0.5 91.5% under_0.5 8.5% over_1.5 72.7%
under_1.5 27.3% over_2.5 46.7% under_2.5 53.3%
over_3.5 25.2% under_3.5 74.8% over_4.5 11.5%
under_4.5 88.5% over_5.5 4.5% under_5.5 95.5%
odd_even
odd 48.5% even 51.5%
team_home
over_0.5 80.2% under_0.5 19.8% over_1.5 48.1%
under_1.5 51.9% over_2.5 22.2% under_2.5 77.8%
team_away
over_0.5 60.3% under_0.5 39.8% over_1.5 23.6%
under_1.5 76.4% over_2.5 6.7% under_2.5 93.3%
most
home 53.1% draw 26.0% away 20.9%
handicap
home_-2.5 12.3% away_+2.5 87.7% home_-1.5 28.8%
away_+1.5 71.2% home_-0.5 53.1% away_+0.5 46.9%
home_+0.5 79.1% away_-0.5 20.9% home_+1.5 92.8%
away_-1.5 7.2% home_+2.5 98.1% away_-2.5 1.9%
total_exact
exact_0 8.5% exact_1 18.8% exact_2 26.0%
exact_3 21.6% exact_4 13.7% exact_5 7.0%
exact_6 2.9% exact_7plus 1.5%
First half range, not a point
1×2
home 39.4% draw 44.4% away 16.2%
total
over_0.5 64.5% under_0.5 35.5% over_1.5 27.7%
under_1.5 72.3% over_2.5 8.7% under_2.5 91.3%
btts
yes 14.5% no 85.5%
total_exact
exact_0 35.5% exact_1 36.8% exact_2 19.0%
exact_3 6.6% exact_4plus 2.1%
Second half range, not a point
1×2
home 44.0% draw 36.1% away 19.9%
total
over_0.5 76.7% under_0.5 23.3% over_1.5 42.8%
under_1.5 57.2% over_2.5 18.1% under_2.5 81.9%
btts
yes 24.8% no 75.2%
Half-time / full-time range, not a point
H/H 33.4% H/D 4.6% H/A 1.3%
D/H 19.5% D/D 16.1% D/A 8.8%
A/H 2.4% A/D 4.0% A/A 9.8%
Corners range, not a point
total
over_7.5 60.2% under_7.5 39.8% over_8.5 48.9%
under_8.5 51.1% over_9.5 38.2% under_9.5 61.8%
over_10.5 28.7% under_10.5 71.3% over_11.5 20.9%
under_11.5 79.1% over_12.5 14.7% under_12.5 85.3%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 67.5% under_3.5 32.5% over_4.5 53.2%
under_4.5 46.8% over_5.5 39.8% under_5.5 60.2%
team_away
over_3.5 46.1% under_3.5 53.9% over_4.5 30.9%
under_4.5 69.1% over_5.5 19.4% under_5.5 80.6%
most
home 59.7% draw 10.1% away 30.2%
handicap
home_-3.5 29.0% away_+3.5 71.0% home_-1.5 48.9%
away_+1.5 51.1% home_-0.5 59.7% away_+0.5 40.4%
home_+0.5 69.8% away_-0.5 30.2% home_+1.5 78.5%
away_-1.5 21.5% home_+3.5 90.7% away_-3.5 9.3%
Shots range, not a point
total
over_22.5 56.7% under_22.5 43.3% over_24.5 44.6%
under_24.5 55.5% over_26.5 33.2% under_26.5 66.8%
over_28.5 23.3% under_28.5 76.7%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 73.1% under_10.5 26.9% over_12.5 57.9%
under_12.5 42.1% over_14.5 42.4% under_14.5 57.6%
team_away
over_10.5 42.4% under_10.5 57.6% over_12.5 26.2%
under_12.5 73.8% over_14.5 14.7% under_14.5 85.3%
most
home 69.1% draw 5.3% away 25.6%
handicap
home_-4.5 45.0% away_+4.5 55.0% home_-2.5 57.4%
away_+2.5 42.6% home_-0.5 69.1% away_+0.5 30.9%
home_+0.5 74.4% away_-0.5 25.6% home_+2.5 83.3%
away_-2.5 16.7% home_+4.5 90.0% away_-4.5 10.1%
Shots on target range, not a point
total
over_6.5 66.3% under_6.5 33.7% over_7.5 54.9%
under_7.5 45.1% over_8.5 43.8% under_8.5 56.3%
over_9.5 33.6% under_9.5 66.4%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 67.1% under_3.5 32.9% over_4.5 52.5%
under_4.5 47.5% over_5.5 39.0% under_5.5 61.0%
team_away
over_3.5 39.3% under_3.5 60.7% over_4.5 24.4%
under_4.5 75.6% over_5.5 14.2% under_5.5 85.8%
most
home 64.0% draw 10.6% away 25.4%
handicap
home_-2.5 40.8% away_+2.5 59.2% home_-0.5 64.0%
away_+0.5 36.0% home_+0.5 74.6% away_-0.5 25.4%
home_+2.5 89.7% away_-2.5 10.3%
Cards calibrated
total
over_2.5 77.3% under_2.5 22.7% over_3.5 58.5%
under_3.5 41.5% over_4.5 39.5% under_4.5 60.6%
over_5.5 23.7% under_5.5 76.3%
odd_even
odd 50.0% even 50.0%
team_home
over_1.5 53.6% under_1.5 46.4% over_2.5 27.3%
under_2.5 72.7%
team_away
over_1.5 66.4% under_1.5 33.6% over_2.5 40.5%
under_2.5 59.5%
most
home 31.0% draw 19.6% away 49.4%
handicap
home_-1.5 15.9% away_+1.5 84.1% home_-0.5 31.0%
away_+0.5 69.0% home_+0.5 50.6% away_-0.5 49.4%
home_+1.5 69.7% away_-1.5 30.3%
Fouls calibrated
total
over_20.5 84.1% under_20.5 15.9% over_22.5 74.2%
under_22.5 25.8% over_24.5 62.4% under_24.5 37.6%
odd_even
odd 50.0% even 50.0%
team_home
over_9.5 82.0% under_9.5 18.0% over_11.5 66.5%
under_11.5 33.5% over_13.5 48.7% under_13.5 51.3%
team_away
over_9.5 78.7% under_9.5 21.3% over_11.5 61.9%
under_11.5 38.2% over_13.5 43.7% under_13.5 56.3%
most
home 50.3% draw 6.4% away 43.3%
handicap
home_-3.5 31.6% away_+3.5 68.4% home_-0.5 50.3%
away_+0.5 49.7% home_+2.5 68.9% away_-2.5 31.1%
Red card range, not a point
any
yes 20.2% no 79.8%
home
yes 8.8% no 91.3%
away
yes 12.5% no 87.5%

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 0.0095 (55261 matches).

More: Roma predictions · Fiorentina predictions · Serie A

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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