Stuttgart vs Werder Bremen prediction

Bundesliga
StuttgartStuttgartLWLLW
Sat, 7 Nov 20267/1117:30UK5°C · Cloudy
Werder BremenWerder BremenWDDWW
59.7%Home winFair odds 1.67
18.9%DrawFair odds 5.30
21.4%Away winFair odds 4.67
Most likely published score2-19.5%Fair odds 10.58

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined87.2%
Over 7.5 cornersBoth teams combined78.9%
Stuttgart or draw78.6%

Early prediction · 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

Stuttgart
Match winner (1X2)59.7%
Fair odds1.67
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel87.2%
Fair oddsFair1.15
Corners marketOver 7.5 corners
Model estimateModel78.9%
Fair oddsFair1.27
Double chance marketStuttgart or draw
Model estimateModel78.6%
Fair oddsFair1.27

Model read

Stuttgart lead the result estimates at 59.7%. The match still has meaningful room for a draw or an opponent win. Over 7.5 shots on target · both teamsRead full analysisShow less

Stuttgart lead the result estimates at 59.7%. The match still has meaningful room for a draw or an opponent win. Over 7.5 shots on target · both teams stands out at 75.5%. It is a stronger probability signal than the other eligible reads shown here. 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
75.5%
Fair odds
1.33

Over 2.5 goals

Model estimate
68.5%
Matching market
73.0%
Difference
-4.5 pp
Fair odds
1.46
Recorded odds
1.32

Margin-adjusted comparison for this selection. The difference is in percentage points, not a proven return.

Both teams to score

Model estimate
65.6%
Fair odds
1.52

Context & limits

  • Stuttgart: 2 wins, 0 draws and 3 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Werder Bremen: 3 wins, 2 draws and 0 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 5 recorded meetings averaged 3.2 goals. This is a historical sample, not a forecast for this fixture.
  • Recorded season averages: Stuttgart 5.8 and Werder Bremen 6.8 shots on target per game. These are team averages, not a forecast of this match total.
  • Player watch: Deniz Undav (Stuttgart) records 1.52 shots on target per 90 minutes over 3850 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

The numbers leave little room for romance here: Stuttgart at 60% against Werder Bremen, Bundesliga, 7 November 2026. Worth knowing: bookmakers rate Stuttgart higher (64%) than our model does. The goals profile is lively: Over 2.5 sits at 68% with both teams to score at 66%. For shots markets, Deniz Undav is the obvious watch at 1.5 on target per 90 in recent data. Recent form reads W2 D0 L4 for Stuttgart against W3 D3 L0 for Werder Bremen. The recent series reads 1 wins for Stuttgart, 2 draws and 2 for Werder Bremen over 5 games, 3.2 goals on average. The engine passes on this one (conservative EV -0.003 <= 0).

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.

StuttgartStuttgartLast 5
L
Loss · 0-1
W
Win · 2-0
L
Loss · 0-1
L
Loss · 2-3
W
Win · 4-2

2 wins · 0 draws · 3 losses

Werder BremenWerder BremenLast 5
W
Win · 3-2
D
Draw · 2-2
D
Draw · 2-2
W
Win · 3-2
W
Win · 2-0

3 wins · 2 draws · 0 losses

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

1StuttgartStuttgart wins
2Draws
2Werder BremenWerder Bremen wins
3.2Average goals
Date
Home team
Score
Away team
StuttgartStuttgart
1 – 1
Werder BremenWerder Bremen
Werder BremenWerder Bremen
0 – 4
StuttgartStuttgart
StuttgartStuttgart
1 – 2
Werder BremenWerder Bremen
Werder BremenWerder Bremen
2 – 2
StuttgartStuttgart
Werder BremenWerder Bremen
2 – 1
StuttgartStuttgart

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 and Goals: Bet365 prices via API-Football, observed 2 Nov 2026, 13:55 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.

1X2

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 59.7%
Stuttgart

Model minus market: -3.3 pp
Market probability: 63.1%
Model probability: 18.9%
Draw

Model minus market: -0.7 pp
Market probability: 19.6%
Model probability: 21.4%
Werder Bremen

Model minus market: +4.0 pp
Market probability: 17.4%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 96.6%
Over 0.5 goals

Model minus market: -1.1 pp
Market probability: 97.8%
Model probability: 3.4%
Under 0.5 goals

Model minus market: +1.1 pp
Market probability: 2.2%
Model probability: 87.2%
Over 1.5 goals

Model minus market: -1.1 pp
Market probability: 88.3%
Model probability: 12.8%
Under 1.5 goals

Model minus market: +1.1 pp
Market probability: 11.7%
Model probability: 68.5%
Over 2.5 goals

Model minus market: -4.4 pp
Market probability: 72.9%
Model probability: 31.5%
Under 2.5 goals

Model minus market: +4.4 pp
Market probability: 27.1%
Model probability: 47.0%
Over 3.5 goals

Model minus market: -5.8 pp
Market probability: 52.8%
Model probability: 53.0%
Under 3.5 goals

Model minus market: +5.8 pp
Market probability: 47.2%
Model probability: 28.1%
Over 4.5 goals

Model minus market: -2.9 pp
Market probability: 31.0%
Model probability: 72.0%
Under 4.5 goals

Model minus market: +2.9 pp
Market probability: 69.1%
Model probability: 14.7%
Over 5.5 goals

Model minus market: -2.6 pp
Market probability: 17.3%
Model probability: 85.3%
Under 5.5 goals

Model minus market: +2.6 pp
Market probability: 82.7%
Model probability: 65.6%
Both teams to score · Yes

Model minus market: -<0.1 pp
Market probability: 65.6%
Model probability: 34.4%
Both teams to score · No

Model minus market: +<0.1 pp
Market probability: 34.4%

Cards

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 71.4%
Over 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 28.6%
Under 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 50.5%
Over 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 49.5%
Under 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 31.2%
Over 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 68.8%
Under 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 16.9%
Over 5.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 83.1%
Under 5.5 yellow cards

Model minus market: —
Market probability: —

Corners

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 78.9%
Over 7.5 corners

Model minus market: —
Market probability: —
Model probability: 21.1%
Under 7.5 corners

Model minus market: —
Market probability: —
Model probability: 68.5%
Over 8.5 corners

Model minus market: —
Market probability: —
Model probability: 31.5%
Under 8.5 corners

Model minus market: —
Market probability: —
Model probability: 56.9%
Over 9.5 corners

Model minus market: —
Market probability: —
Model probability: 43.1%
Under 9.5 corners

Model minus market: —
Market probability: —
Model probability: 45.2%
Over 10.5 corners

Model minus market: —
Market probability: —
Model probability: 54.8%
Under 10.5 corners

Model minus market: —
Market probability: —
Model probability: 34.2%
Over 11.5 corners

Model minus market: —
Market probability: —
Model probability: 65.8%
Under 11.5 corners

Model minus market: —
Market probability: —
Model probability: 24.7%
Over 12.5 corners

Model minus market: —
Market probability: —
Model probability: 75.3%
Under 12.5 corners

Model minus market: —
Market probability: —

Shots

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 75.3%
Over 22.5 shots

Model minus market: —
Market probability: —
Model probability: 24.7%
Under 22.5 shots

Model minus market: —
Market probability: —
Model probability: 64.4%
Over 24.5 shots

Model minus market: —
Market probability: —
Model probability: 35.6%
Under 24.5 shots

Model minus market: —
Market probability: —
Model probability: 52.5%
Over 26.5 shots

Model minus market: —
Market probability: —
Model probability: 47.5%
Under 26.5 shots

Model minus market: —
Market probability: —
Model probability: 40.6%
Over 28.5 shots

Model minus market: —
Market probability: —
Model probability: 59.4%
Under 28.5 shots

Model minus market: —
Market probability: —
Model probability: 84.4%
Over 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 15.6%
Under 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 75.5%
Over 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 24.5%
Under 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 64.9%
Over 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 35.1%
Under 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 53.5%
Over 9.5 shots on target

Model minus market: —
Market probability: —
Model probability: 46.5%
Under 9.5 shots on target

Model minus market: —
Market probability: —

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

Stuttgart winBookmaker1.52Model fair1.67Model minus bookmaker probability, percentage points: -6.0 pp
DrawBookmaker4.99Model fair5.30Model minus bookmaker probability, percentage points: -1.1 pp
Werder Bremen winBookmaker5.04Model fair4.67Model minus bookmaker probability, percentage points: +1.5 pp

Goals · 2.5

Over 2.5 goalsBookmaker1.32Model fair1.46Model minus bookmaker probability, percentage points: -7.2 pp
Under 2.5 goalsBookmaker3.35Model fair3.17Model minus bookmaker probability, percentage points: +1.6 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

Stuttgart win1.67
Draw5.30
Werder Bremen win4.67
Both teams to score1.52

Goals

Over 1.5 goals1.15
Over 2.5 goals1.46
Over 3.5 goals2.13
Over 4.5 goals3.57
Stuttgart most1.74
Werder Bremen most4.63

Corners

Over 7.5 corners1.27
Over 8.5 corners1.46
Over 9.5 corners1.76
Over 10.5 corners2.21
Stuttgart most1.64
Werder Bremen most3.42

Cards

Over 2.5 cards1.40
Over 3.5 cards1.98
Over 4.5 cards3.20
Over 5.5 cards5.90
Stuttgart most3.30
Werder Bremen most2.06

Shots on target

Over 6.5 SoT1.18
Over 7.5 SoT1.33
Over 8.5 SoT1.54
Over 9.5 SoT1.87
Stuttgart most1.57
Werder Bremen most3.87

Shots

Over 22.5 shots1.33
Over 24.5 shots1.55
Over 26.5 shots1.90
Over 28.5 shots2.46
Stuttgart most1.52
Werder Bremen most3.45

Fouls

Over 20.5 fouls1.96
Over 22.5 fouls2.60
Over 24.5 fouls3.63

Corners

Both teams combined.

Over 7.5 corners78.9%1.27Very likely
Over 8.5 corners68.5%1.46Likely
Over 9.5 corners56.9%1.76Close call
Over 10.5 corners45.2%2.21Close call
Over 11.5 corners34.2%2.92Unlikely
Over 12.5 corners24.7%4.05Long shot
Read context

Both teams combined

Over 7.5 corners · Very likely

Over 8.5 corners · Likely

Over 9.5 corners · Close call

Over 10.5 corners · Close call

Over 11.5 corners · Unlikely

Over 12.5 corners · Long shot

Most corners

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

Stuttgart

Model probability

60.9%Fair odds 1.64

Werder Bremen

Model probability

29.3%Fair odds 3.42

Read context

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

Stuttgart

Werder Bremen

Shots

Both teams combined.

Over 22.5 shots75.3%1.33Very likely
Over 24.5 shots64.4%1.55Likely
Over 26.5 shots52.5%1.90Close call
Over 28.5 shots40.6%2.46Unlikely
Over 6.5 on target84.4%1.18Very likely
Over 7.5 on target75.5%1.33Very likely
Over 8.5 on target64.9%1.54Likely
Over 9.5 on target53.5%1.87Close call
Read context

Both teams combined

Over 22.5 shots · Very likely

Over 24.5 shots · Likely

Over 26.5 shots · Close call

Over 28.5 shots · Unlikely

Over 6.5 on target · Very likely

Over 7.5 on target · Very likely

Over 8.5 on target · Likely

Over 9.5 on target · Close call

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, Stuttgart vs Werder Bremen
Model expects Shots On target
Stuttgart 15.1 5.9
Werder Bremen 12.0 4.1
Both teams 27.1 10.1

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: Stuttgart at home and Werder Bremen 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
Stuttgart 16.7 18.5 5.8
Werder Bremen 16.2 14.7 7.2
Stuttgart at home 18.7 11.8 7.0
Werder Bremen away 11.8 18.0 4.2

Totals line guide

Both teams combined.

Over 0.596.6%Over 1.587.2%Over 2.568.5%Over 3.547.0%Over 4.528.1%Over 5.514.7%
Recommended focusOver 2.568.5%

Discipline: Fairly priced. Conservative EV -0.003 <= 0.

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

Cards

Over 2.52.5 cards, Low risk
Model probability 71.4%
Fair odds Fair 1.40
Over 3.53.5 cards, Medium risk
Model probability 50.5%
Fair odds Fair 1.98
Over 4.54.5 cards, High risk
Model probability 31.2%
Fair odds Fair 3.20

Corners

Over 7.57.5 corners, Low risk
Model probability 78.9%
Fair odds Fair 1.27
Over 9.59.5 corners, Medium risk
Model probability 56.9%
Fair odds Fair 1.76
Over 11.511.5 corners, High risk
Model probability 34.2%
Fair odds Fair 2.92

Shots

Over 22.522.5 shots, Low risk
Model probability 75.3%
Fair odds Fair 1.33
Over 26.526.5 shots, Medium risk
Model probability 52.5%
Fair odds Fair 1.90
Over 28.528.5 shots, High risk
Model probability 40.6%
Fair odds Fair 2.46

Goals

Over 0.50.5 goals, Low risk
Model probability 96.6%
Fair odds Fair 1.03
Over 2.52.5 goals, Low risk
Model probability 68.5%
Fair odds Fair 1.46
Over 4.54.5 goals, High risk
Model probability 28.1%
Fair odds Fair 3.57
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-03.4%Fair odds 29.76 1-06.1%Fair odds 16.47 2-07.2%Fair odds 13.91 3-05.3%Fair odds 18.83 4-02.9%Fair odds 34.01 5-01.3%Fair odds 76.34
Away goals 1 0-13.4%Fair odds 29.24 1-19.0%Fair odds 11.17 2-19.5%Fair odds 10.58 3-17.0%Fair odds 14.33 4-13.9%Fair odds 25.84 5-11.7%Fair odds 58.14
Away goals 2 0-22.5%Fair odds 39.53 1-25.6%Fair odds 17.86 2-26.2%Fair odds 16.10 3-24.6%Fair odds 21.79 4-22.5%Fair odds 39.37 5-21.1%Fair odds 88.50
Away goals 3 0-31.1%Fair odds 90.09 1-32.5%Fair odds 40.65 2-32.7%Fair odds 36.76 3-32.0%Fair odds 49.75 4-31.1%Fair odds 89.29 5-30.5%Fair odds 204.08
Away goals 4 0-40.4%Fair odds 277.78 1-40.8%Fair odds 123.46 2-40.9%Fair odds 111.11 3-40.7%Fair odds 151.52 4-40.4%Fair odds 270.27 5-40.2%Fair odds 625.00
Away goals 5 0-50.1%Fair odds 1,000.00 1-50.2%Fair odds 476.19 2-50.2%Fair odds 416.67 3-50.2%Fair odds 588.24 4-50.1%Fair odds 1,000.00 5-50.0%Fair odds 2,500.00

Model’s 3 most likely score outcomes

Model probability · Fair odds

2-1
Model probability9.5%
Fair odds10.58
1-1
Model probability9.0%
Fair odds11.17
2-0
Model probability7.2%
Fair odds13.91

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.

StuttgartStuttgart
Werder BremenWerder Bremen

Overview

Statistic
Stuttgart
Werder Bremen
League position
#11 of 18
#5 of 18
Matches played
8
8
Record W-D-L
3-0-5
4-3-1
Recent form
LWLLW
Last 5 matches
WDDWW
Last 5 matches
Current streak
W1
W2
Points per game
1.12
1.88
Record, home vs away
1-0-2
1-2-1
PPG, home vs away
1.00
1.25

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

Show all season statsHide season stats

Goals

Statistic
Stuttgart
Werder Bremen
Goals scored per game
1.75
2.12
Goals conceded per game
1.88
1.75
Scored, home vs away
2.00
1.75
Conceded, home vs away
1.67
2.25
1st half goals per game
0.33
0.17
2nd half goals per game
1.00
1.83
xG for per game
2.30
1.63
xG against per game
2.57
1.67

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

Shooting

Statistic
Stuttgart
Werder Bremen
Shots per game
17.2
14.0
Shots faced per game
18.3
15.3
Shots on target per game
5.8
6.8
1st half shots per game
7.7
4.8
2nd half shots per game
9.7
9.2

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

Corners & discipline

Statistic
Stuttgart
Werder Bremen
Corners won per game
6.7
3.7
Fouls per game
9.8
12.0

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

Goal rates

Statistic
Stuttgart
Werder Bremen
Over 2.5 rate
62.5%
75.0%
BTTS rate
62.5%
87.5%
Clean sheets
12.5%
12.5%

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

League averages this season: 3.50 goals per match · Over 2.5 in 69.4% · BTTS in 58.3%. 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.

StuttgartStuttgart
Stuttgart: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.33 1.00 6
Goals concededConceded 0.33 1.33 6
Shots 7.7 9.7 6
Shots facedOpp. shots 6.8 11.3 6
Shots on targetOn target 2.3 3.5 6
Shots on target facedOpp. on target 1.7 3.8 6
Corners wonCorners 2.5 4.2 6
Corners concededOpp. corners 2.7 3.3 6
Yellow cardsYellows 0.3 0.7 6
Opponent yellow cardsOpp. yellows 0.5 1.8 6
Werder BremenWerder Bremen
Werder Bremen: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.17 1.83 6
Goals concededConceded 1.00 1.00 6
Shots 4.8 9.2 6
Shots facedOpp. shots 6.7 8.5 6
Shots on targetOn target 2.0 4.8 6
Shots on target facedOpp. on target 2.3 3.2 6
Corners wonCorners 1.3 2.3 6
Corners concededOpp. corners 2.8 3.0 6
Yellow cardsYellows 0.3 0.8 6
Opponent yellow cardsOpp. yellows 0.3 1.0 6

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.

StuttgartStuttgart (3)
Deniz Undav
Watch list
Prediction markets
Model %
Fair odds
Save
To score
34.3%
2.92
1+ shot on target
69.3%
1.44
2+ shots
84.5%
1.18
Per 90 minutes (recent averages)
Shots4.28
On target1.52
Goals0.54
Ermedin Demirovic
Watch list
Prediction markets
Model %
Fair odds
Save
To score
37.4%
2.67
1+ shot on target
60.5%
1.65
2+ shots
59.3%
1.69
Per 90 minutes (recent averages)
Shots3.03
On target1.41
Goals0.71
Dzenan Pejcinovic
Watch list
Prediction markets
Model %
Fair odds
Save
To score
19.0%
5.26
1+ shot on target
46.8%
2.14
2+ shots
51.8%
1.93
Per 90 minutes (recent averages)
Shots3.30
On target1.20
Goals0.40
Werder BremenWerder Bremen (3)
Niclas Füllkrug
Watch list
Prediction markets
Model %
Fair odds
Save
To score
22.4%
4.46
1+ shot on target
47.5%
2.11
2+ shots
37.9%
2.64
Per 90 minutes (recent averages)
Shots2.49
On target1.22
Goals0.48
Chuki
Watch list
Prediction markets
Model %
Fair odds
Save
To score
8.6%
11.63
1+ shot on target
44.6%
2.24
2+ shots
38.1%
2.62
Per 90 minutes (recent averages)
Shots2.06
On target0.92
Goals0.14
Justin Njinmah
Watch list
Prediction markets
Model %
Fair odds
Save
To score
12.0%
8.33
1+ shot on target
39.3%
2.54
2+ shots
48.9%
2.04
Per 90 minutes (recent averages)
Shots2.96
On target0.90
Goals0.23
All model outcomes · full market spectrum & player markets

Shots

Over 22.5 75.3% Over 24.5 64.4% Over 26.5 52.5% Over 28.5 40.6%
Most: Stuttgart 65.6% Most: Werder Bremen 29.0%
Stuttgart Over 10.5 82.3%
Stuttgart Over 12.5 68.9%
Stuttgart Over 14.5 53.4% Werder Bremen Over 10.5 60.7%
Werder Bremen Over 12.5 42.8%
Werder Bremen Over 14.5 27.2%

Shots on target

Over 6.5 84.4% Over 7.5 75.5% Over 8.5 64.9% Over 9.5 53.5%
Most: Stuttgart 63.8% Most: Werder Bremen 25.9%
Stuttgart Over 3.5 80.6%
Stuttgart Over 4.5 67.1%
Stuttgart Over 5.5 52.3% Werder Bremen Over 3.5 57.4%
Werder Bremen Over 4.5 39.6%
Werder Bremen Over 5.5 25.0%

Cards

Over 2.5 71.4% Over 3.5 50.5% Over 4.5 31.2% Over 5.5 16.9%
Most: Stuttgart 30.3% Most: Werder Bremen 48.6%
Stuttgart Over 1.5 48.1%
Stuttgart Over 2.5 22.1% Werder Bremen Over 1.5 61.5%
Werder Bremen Over 2.5 34.5%

Stuttgart: 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
Deniz Undav 4.28 1.52 0.54 69.3% 84.5% 34.3%
Ermedin Demirovic 3.03 1.41 0.71 60.5% 59.3% 37.4%
Dzenan Pejcinovic 3.3 1.2 0.4 46.8% 51.8% 19.0%
Tiago Tomás 2.58 1 0.35 39.3% 36.8% 16.0%
Nikolas Nartey 1.53 0.83 0.28 32.0% 15.9% 12.2%

Werder Bremen: 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
Niclas Füllkrug 2.49 1.22 0.48 47.5% 37.9% 22.4%
Chuki 2.06 0.92 0.14 44.6% 38.1% 8.6%
Justin Njinmah 2.96 0.9 0.23 39.3% 48.9% 12.0%
Marco Grüll 1.94 0.62 0.25 32.7% 35.2% 14.8%
Ludovit Reis 1.73 0.53 0.27 39.2% 48.4% 22.4%

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.

Stuttgart clean sheet 26.2%
Werder Bremen clean sheet 10.9%
Stuttgart win to nil 22.8%
Werder Bremen win to nil 7.5%

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 57.4% draw 20.9% away 21.6%
double_chance
1X 78.4% 12 79.1% X2 42.6%
dnb
home 72.7% away 27.4%
btts
yes 65.6% no 34.4%
clean_sheet
home 26.9% away 10.9%
win_to_nil
home 23.5% away 7.5%
winning_margin
home_by_1 21.4% home_by_2 17.3% home_by_3plus 18.8%
away_by_1 12.5% away_by_2 6.1% away_by_3plus 3.0%
correct_score
0-0 3.4% 0-1 3.4% 0-2 2.5%
0-3 1.1% 0-4 0.4% 0-5 0.1%
1-0 6.1% 1-1 9.0% 1-2 5.6%
1-3 2.5% 1-4 0.8% 1-5 0.2%
2-0 7.2% 2-1 9.5% 2-2 6.2%
2-3 2.7% 2-4 0.9% 2-5 0.2%
3-0 5.3% 3-1 7.0% 3-2 4.6%
3-3 2.0% 3-4 0.7% 3-5 0.2%
4-0 2.9% 4-1 3.9% 4-2 2.5%
4-3 1.1% 4-4 0.4% 4-5 0.1%
5-0 1.3% 5-1 1.7% 5-2 1.1%
5-3 0.5% 5-4 0.2% 5-5 0.0%
other 2.8%
likeliest_score
h 200.0% a 100.0% p 9.5%
Goals: totals / handicap / exact calibrated
total
over_0.5 96.6% under_0.5 3.4% over_1.5 87.2%
under_1.5 12.8% over_2.5 68.5% under_2.5 31.5%
over_3.5 47.0% under_3.5 53.0% over_4.5 28.1%
under_4.5 72.0% over_5.5 14.7% under_5.5 85.3%
odd_even
odd 49.1% even 50.9%
team_home
over_0.5 89.1% under_0.5 10.9% over_1.5 64.9%
under_1.5 35.1% over_2.5 38.2% under_2.5 61.8%
team_away
over_0.5 73.1% under_0.5 26.9% over_1.5 37.8%
under_1.5 62.2% over_2.5 14.6% under_2.5 85.4%
most
home 57.4% draw 20.9% away 21.6%
handicap
home_-2.5 18.8% away_+2.5 81.2% home_-1.5 36.0%
away_+1.5 64.0% home_-0.5 57.4% away_+0.5 42.6%
home_+0.5 78.4% away_-0.5 21.6% home_+1.5 90.9%
away_-1.5 9.1% home_+2.5 97.0% away_-2.5 3.0%
total_exact
exact_0 3.4% exact_1 9.5% exact_2 18.7%
exact_3 21.5% exact_4 19.0% exact_5 13.4%
exact_6 7.9% exact_7plus 6.8%
First half range, not a point
1×2
home 53.3% draw 34.3% away 12.4%
total
over_0.5 75.8% under_0.5 24.2% over_1.5 41.5%
under_1.5 58.5% over_2.5 17.1% under_2.5 82.9%
btts
yes 19.7% no 80.4%
total_exact
exact_0 24.2% exact_1 34.3% exact_2 24.4%
exact_3 11.5% exact_4plus 5.6%
Second half range, not a point
1×2
home 40.9% draw 29.5% away 29.5%
total
over_0.5 88.1% under_0.5 12.0% over_1.5 62.7%
under_1.5 37.3% over_2.5 35.7% under_2.5 64.3%
btts
yes 42.4% no 57.6%
Half-time / full-time range, not a point
H/H 42.4% H/D 7.2% H/A 3.7%
D/H 14.0% D/D 10.1% D/A 10.1%
A/H 1.9% A/D 2.7% A/A 7.8%
Corners range, not a point
total
over_7.5 78.9% under_7.5 21.1% over_8.5 68.5%
under_8.5 31.5% over_9.5 56.9% under_9.5 43.1%
over_10.5 45.2% under_10.5 54.8% over_11.5 34.2%
under_11.5 65.8% over_12.5 24.7% under_12.5 75.3%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 80.5% under_3.5 19.5% over_4.5 67.2%
under_4.5 32.8% over_5.5 52.6% under_5.5 47.4%
team_away
over_3.5 60.7% under_3.5 39.3% over_4.5 43.4%
under_4.5 56.6% over_5.5 28.4% under_5.5 71.6%
most
home 60.9% draw 9.8% away 29.3%
handicap
home_-3.5 30.2% away_+3.5 69.8% home_-1.5 50.4%
away_+1.5 49.6% home_-0.5 60.9% away_+0.5 39.1%
home_+0.5 70.8% away_-0.5 29.3% home_+1.5 79.2%
away_-1.5 20.8% home_+3.5 91.1% away_-3.5 8.9%
Shots range, not a point
total
over_22.5 75.3% under_22.5 24.7% over_24.5 64.4%
under_24.5 35.6% over_26.5 52.5% under_26.5 47.5%
over_28.5 40.6% under_28.5 59.4%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 82.3% under_10.5 17.7% over_12.5 68.9%
under_12.5 31.1% over_14.5 53.4% under_14.5 46.6%
team_away
over_10.5 60.7% under_10.5 39.3% over_12.5 42.8%
under_12.5 57.2% over_14.5 27.2% under_14.5 72.8%
most
home 65.6% draw 5.4% away 29.0%
handicap
home_-4.5 41.7% away_+4.5 58.3% home_-2.5 53.9%
away_+2.5 46.1% home_-0.5 65.6% away_+0.5 34.4%
home_+0.5 71.0% away_-0.5 29.0% home_+2.5 80.4%
away_-2.5 19.6% home_+4.5 87.7% away_-4.5 12.3%
Shots on target range, not a point
total
over_6.5 84.4% under_6.5 15.6% over_7.5 75.5%
under_7.5 24.5% over_8.5 64.9% under_8.5 35.1%
over_9.5 53.5% under_9.5 46.5%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 80.6% under_3.5 19.4% over_4.5 67.1%
under_4.5 32.9% over_5.5 52.3% under_5.5 47.7%
team_away
over_3.5 57.4% under_3.5 42.6% over_4.5 39.6%
under_4.5 60.4% over_5.5 25.0% under_5.5 75.1%
most
home 63.8% draw 10.3% away 25.9%
handicap
home_-2.5 40.9% away_+2.5 59.1% home_-0.5 63.8%
away_+0.5 36.2% home_+0.5 74.2% away_-0.5 25.9%
home_+2.5 89.2% away_-2.5 10.8%
Cards calibrated
total
over_2.5 71.4% under_2.5 28.6% over_3.5 50.5%
under_3.5 49.5% over_4.5 31.2% under_4.5 68.8%
over_5.5 16.9% under_5.5 83.1%
odd_even
odd 50.0% even 50.0%
team_home
over_1.5 48.1% under_1.5 51.9% over_2.5 22.1%
under_2.5 77.9%
team_away
over_1.5 61.5% under_1.5 38.5% over_2.5 34.5%
under_2.5 65.5%
most
home 30.3% draw 21.1% away 48.6%
handicap
home_-1.5 14.5% away_+1.5 85.5% home_-0.5 30.3%
away_+0.5 69.7% home_+0.5 51.4% away_-0.5 48.6%
home_+1.5 71.7% away_-1.5 28.3%
Fouls calibrated
total
over_20.5 51.0% under_20.5 49.0% over_22.5 38.5%
under_22.5 61.5% over_24.5 27.5% under_24.5 72.5%
odd_even
odd 50.0% even 50.0%
team_home
over_9.5 49.7% under_9.5 50.3% over_11.5 32.1%
under_11.5 67.9% over_13.5 18.8% under_13.5 81.2%
team_away
over_9.5 61.1% under_9.5 38.9% over_11.5 43.5%
under_11.5 56.5% over_13.5 28.3% under_13.5 71.7%
most
home 38.6% draw 6.5% away 54.9%
handicap
home_-3.5 21.6% away_+3.5 78.4% home_-0.5 38.6%
away_+0.5 61.4% home_+2.5 58.2% away_-2.5 41.8%
Red card range, not a point
any
yes 15.5% no 84.5%
home
yes 8.1% no 91.9%
away
yes 8.0% no 92.0%
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 47.8% (reliability, not edge). Calibration error 0.0102 (56177 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.

Explore this match