Hertha vs Wolfsburg prediction

2. Bundesliga
HerthaHerthaWWDWW
Sat, 7 Nov 20267/1119:30UK
WolfsburgWolfsburgWDWDW
67.8%Home winFair odds 1.47
19.2%DrawFair odds 5.21
13.0%Away winFair odds 7.69
Most likely published score2-010.9%Fair odds 9.15

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Hertha or draw87%
Over 1.5 goalsBoth teams combined82.6%
Over 7.5 cornersBoth teams combined82.3%

Early prediction · Model generated · Bookmaker odds pending.

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

Hertha
Match winner (1X2)67.8%
Fair odds1.47
Save model pickSaved to my bets

Top signals

Double chance marketHertha or draw
Model estimateModel87.0%
Fair oddsFair1.15
Goals marketOver 1.5 goals
Model estimateModel82.6%
Fair oddsFair1.21
Corners marketOver 7.5 corners
Model estimateModel82.3%
Fair oddsFair1.21

Model read

Hertha lead the result estimates at 67.8%. The match still has meaningful room for a draw or an opponent win. Over 7.5 shots on target · both teams stRead full analysisShow less

Hertha lead the result estimates at 67.8%. The match still has meaningful room for a draw or an opponent win. Over 7.5 shots on target · both teams stands out at 72.6%. 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.

Over 7.5 shots on target · both teams

Model estimate
72.6%
Fair odds
1.38

Over 24.5 shots · both teams

Model estimate
70.5%
Fair odds
1.42

Hertha win

Model estimate
67.8%
Fair odds
1.47

Context & limits

  • Hertha: 4 wins, 1 draws and 0 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Wolfsburg: 3 wins, 2 draws and 0 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Recorded season averages: Hertha 6.9 and Wolfsburg 6.9 shots on target per game. These are team averages, not a forecast of this match total.
  • 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

"Hertha or Wolfsburg? We publish probabilities, not certainties." On paper this is one way traffic: the calibrated model makes Hertha heavy favourites at 68% when Hertha meet Wolfsburg in the 2. Bundesliga on 7 November 2026. The goals profile is lively: Over 2.5 sits at 61% with both teams to score at 53%. Recent form reads W5 D1 L0 for Hertha against W3 D2 L1 for Wolfsburg. As a promoted side, Wolfsburg carry exactly the structural uncertainty our priors were built for. Discipline says sit it out: no bookmaker price published for this match yet.

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.

HerthaHerthaLast 5
W
Win · 2-1
W
Win · 2-1
D
Draw · 0-0
W
Win · 1-0
W
Win · 3-0

4 wins · 1 draw · 0 losses

WolfsburgWolfsburgLast 5
W
Win · 5-1
D
Draw · 4-4
W
Win · 3-1
D
Draw · 1-1
W
Win · 2-0

3 wins · 2 draws · 0 losses

W Win
D Draw
L Loss

Head-to-head

No recorded head-to-head results available.

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 probabilities

Model estimates and recorded bookmaker probabilities.

1X2

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 67.8%
Hertha

Model minus market: —
Market probability: —
Model probability: 19.2%
Draw

Model minus market: —
Market probability: —
Model probability: 13.0%
Wolfsburg

Model minus market: —
Market probability: —

Goals

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 95.3%
Over 0.5 goals

Model minus market: —
Market probability: —
Model probability: 4.7%
Under 0.5 goals

Model minus market: —
Market probability: —
Model probability: 82.6%
Over 1.5 goals

Model minus market: —
Market probability: —
Model probability: 17.4%
Under 1.5 goals

Model minus market: —
Market probability: —
Model probability: 60.9%
Over 2.5 goals

Model minus market: —
Market probability: —
Model probability: 39.1%
Under 2.5 goals

Model minus market: —
Market probability: —
Model probability: 38.6%
Over 3.5 goals

Model minus market: —
Market probability: —
Model probability: 61.4%
Under 3.5 goals

Model minus market: —
Market probability: —
Model probability: 21.0%
Over 4.5 goals

Model minus market: —
Market probability: —
Model probability: 79.0%
Under 4.5 goals

Model minus market: —
Market probability: —
Model probability: 10.0%
Over 5.5 goals

Model minus market: —
Market probability: —
Model probability: 90.1%
Under 5.5 goals

Model minus market: —
Market probability: —
Model probability: 53.2%
Both teams to score · Yes

Model minus market: —
Market probability: —
Model probability: 46.8%
Both teams to score · No

Model minus market: —
Market probability: —

Cards

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 78.6%
Over 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 21.4%
Under 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 59.9%
Over 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 40.1%
Under 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 40.4%
Over 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 59.6%
Under 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 24.2%
Over 5.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 75.8%
Under 5.5 yellow cards

Model minus market: —
Market probability: —

Corners

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 82.3%
Over 7.5 corners

Model minus market: —
Market probability: —
Model probability: 17.7%
Under 7.5 corners

Model minus market: —
Market probability: —
Model probability: 72.8%
Over 8.5 corners

Model minus market: —
Market probability: —
Model probability: 27.2%
Under 8.5 corners

Model minus market: —
Market probability: —
Model probability: 61.8%
Over 9.5 corners

Model minus market: —
Market probability: —
Model probability: 38.2%
Under 9.5 corners

Model minus market: —
Market probability: —
Model probability: 50.2%
Over 10.5 corners

Model minus market: —
Market probability: —
Model probability: 49.8%
Under 10.5 corners

Model minus market: —
Market probability: —
Model probability: 39.0%
Over 11.5 corners

Model minus market: —
Market probability: —
Model probability: 61.0%
Under 11.5 corners

Model minus market: —
Market probability: —
Model probability: 28.9%
Over 12.5 corners

Model minus market: —
Market probability: —
Model probability: 71.1%
Under 12.5 corners

Model minus market: —
Market probability: —

Shots

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 80.8%
Over 22.5 shots

Model minus market: —
Market probability: —
Model probability: 19.2%
Under 22.5 shots

Model minus market: —
Market probability: —
Model probability: 70.5%
Over 24.5 shots

Model minus market: —
Market probability: —
Model probability: 29.5%
Under 24.5 shots

Model minus market: —
Market probability: —
Model probability: 58.7%
Over 26.5 shots

Model minus market: —
Market probability: —
Model probability: 41.3%
Under 26.5 shots

Model minus market: —
Market probability: —
Model probability: 46.3%
Over 28.5 shots

Model minus market: —
Market probability: —
Model probability: 53.7%
Under 28.5 shots

Model minus market: —
Market probability: —
Model probability: 82.5%
Over 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 17.5%
Under 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 72.6%
Over 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 27.4%
Under 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 61.1%
Over 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 38.9%
Under 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 49.0%
Over 9.5 shots on target

Model minus market: —
Market probability: —
Model probability: 51.0%
Under 9.5 shots on target

Model minus market: —
Market probability: —
Market comparison awaits bookmaker odds

Comparable bookmaker odds are not available for these outcomes yet.

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

Hertha win1.47
Draw5.21
Wolfsburg win7.69
Both teams to score1.88

Goals

Over 1.5 goals1.21
Over 2.5 goals1.64
Over 3.5 goals2.59
Over 4.5 goals4.76
Hertha most1.48
Wolfsburg most7.69

Corners

Over 7.5 corners1.21
Over 8.5 corners1.37
Over 9.5 corners1.62
Over 10.5 corners1.99
Hertha most2.07
Wolfsburg most2.42

Cards

Over 2.5 cards1.27
Over 3.5 cards1.67
Over 4.5 cards2.47
Over 5.5 cards4.13
Hertha most2.91
Wolfsburg most2.20

Shots on target

Over 6.5 SoT1.21
Over 7.5 SoT1.38
Over 8.5 SoT1.64
Over 9.5 SoT2.04
Hertha most1.91
Wolfsburg most2.80

Shots

Over 22.5 shots1.24
Over 24.5 shots1.42
Over 26.5 shots1.70
Over 28.5 shots2.16
Hertha most1.78
Wolfsburg most2.65

Fouls

Over 20.5 fouls1.38
Over 22.5 fouls1.69
Over 24.5 fouls2.22

Corners

Both teams combined.

Over 7.5 corners82.3%1.21Very likely
Over 8.5 corners72.8%1.37Likely
Over 9.5 corners61.8%1.62Likely
Over 10.5 corners50.2%1.99Close call
Over 11.5 corners39.0%2.56Unlikely
Over 12.5 corners28.9%3.46Long shot
Read context

Both teams combined

Over 7.5 corners · Very likely

Over 8.5 corners · Likely

Over 9.5 corners · Likely

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.

Hertha

Model probability

48.2%Fair odds 2.07

Wolfsburg

Model probability

41.3%Fair odds 2.42

Read context

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

Hertha

Wolfsburg

Shots

Both teams combined.

Over 22.5 shots80.8%1.24Very likely
Over 24.5 shots70.5%1.42Likely
Over 26.5 shots58.7%1.70Close call
Over 28.5 shots46.3%2.16Close call
Over 6.5 on target82.5%1.21Very likely
Over 7.5 on target72.6%1.38Likely
Over 8.5 on target61.1%1.64Likely
Over 9.5 on target49.0%2.04Close 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 · Close call

Over 6.5 on target · Very likely

Over 7.5 on target · 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, Hertha vs Wolfsburg
Model expects Shots On target
Hertha 14.8 5.2
Wolfsburg 13.3 4.5
Both teams 28.1 9.6

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: Hertha at home and Wolfsburg 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
Hertha 18.5 11.2 7.5
Wolfsburg 19.2 17.7 6.5
Hertha at home 15.8 14.5 6.0
Wolfsburg away 18.2 18.0 6.8

Totals line guide

Both teams combined.

Over 0.595.3%Over 1.582.6%Over 2.560.9%Over 3.538.6%Over 4.521.0%Over 5.510.0%
Recommended focusOver 2.560.9%

Discipline: Our price. No bookmaker price published for this match yet.

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 82.6%
Fair odds Fair 1.21
Over 2.52.5 goals, Medium risk
Model probability 60.9%
Fair odds Fair 1.64
Over 3.53.5 goals, High risk
Model probability 38.6%
Fair odds Fair 2.59

Cards

Over 2.52.5 cards, Low risk
Model probability 78.6%
Fair odds Fair 1.27
Over 3.53.5 cards, Medium risk
Model probability 59.9%
Fair odds Fair 1.67
Over 4.54.5 cards, High risk
Model probability 40.4%
Fair odds Fair 2.47

Corners

Over 8.58.5 corners, Low risk
Model probability 72.8%
Fair odds Fair 1.37
Over 10.510.5 corners, Medium risk
Model probability 50.2%
Fair odds Fair 1.99
Over 11.511.5 corners, High risk
Model probability 39.0%
Fair odds Fair 2.56

Shots

Over 24.524.5 shots, Low risk
Model probability 70.5%
Fair odds Fair 1.42
Over 26.526.5 shots, Medium risk
Model probability 58.7%
Fair odds Fair 1.70
Over 28.528.5 shots, High risk
Model probability 46.3%
Fair odds Fair 2.16
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-04.7%Fair odds 21.14 1-09.3%Fair odds 10.80 2-010.9%Fair odds 9.15 3-08.2%Fair odds 12.15 4-04.7%Fair odds 21.51 5-02.1%Fair odds 47.62
Away goals 1 0-13.4%Fair odds 29.41 1-19.1%Fair odds 11.03 2-19.7%Fair odds 10.28 3-17.3%Fair odds 13.66 4-14.1%Fair odds 24.21 5-11.9%Fair odds 53.76
Away goals 2 0-21.7%Fair odds 58.48 1-23.9%Fair odds 25.97 2-24.3%Fair odds 23.04 3-23.3%Fair odds 30.67 4-21.8%Fair odds 54.35 5-20.8%Fair odds 120.48
Away goals 3 0-30.5%Fair odds 196.08 1-31.2%Fair odds 86.96 2-31.3%Fair odds 77.52 3-31.0%Fair odds 103.09 4-30.5%Fair odds 181.82 5-30.3%Fair odds 400.00
Away goals 4 0-40.1%Fair odds 909.09 1-40.3%Fair odds 384.62 2-40.3%Fair odds 344.83 3-40.2%Fair odds 454.55 4-40.1%Fair odds 833.33 5-40.1%Fair odds 2,000.00
Away goals 5 0-50.0%Fair odds 5,000.00 1-50.1%Fair odds 2,000.00 2-50.1%Fair odds 2,000.00 3-50.0%Fair odds 2,500.00 4-50.0%Fair odds 5,000.00 5-50.0%Fair odds 10,000.00

Model’s 3 most likely score outcomes

Model probability · Fair odds

2-0
Model probability10.9%
Fair odds9.15
2-1
Model probability9.7%
Fair odds10.28
1-0
Model probability9.3%
Fair odds10.80

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.

HerthaHertha
WolfsburgWolfsburg

Overview

Statistic
Hertha
Wolfsburg
League position
#1 of 18
#3 of 18
Matches played
10
10
Record W-D-L
9-1-0
5-4-1
Recent form
WWDWW
Last 5 matches
WDWDW
Last 5 matches
Current streak
W2
W1
Points per game
2.80
1.90
Record, home vs away
4-0-0
2-2-1
PPG, home vs away
3.00
1.60

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

Show all season statsHide season stats

Goals

Statistic
Hertha
Wolfsburg
Goals scored per game
2.30
2.50
Goals conceded per game
0.80
1.40
Scored, home vs away
2.25
2.20
Conceded, home vs away
0.75
1.60
1st half goals per game
1.00
1.44
2nd half goals per game
1.38
1.11

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

Shooting

Statistic
Hertha
Wolfsburg
Shots per game
18.6
19.8
Shots faced per game
12.9
17.2
Shots on target per game
6.9
6.9
1st half shots per game
9.4
9.2
2nd half shots per game
9.3
10.7

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

Corners & discipline

Statistic
Hertha
Wolfsburg
Corners won per game
5.6
6.7
Fouls per game
12.8
14.4
Red cards this season
—
1

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

Goal rates

Statistic
Hertha
Wolfsburg
Over 2.5 rate
70.0%
50.0%
BTTS rate
60.0%
60.0%
Clean sheets
40.0%
30.0%

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

League averages this season: 3.00 goals per match · Over 2.5 in 56.7% · BTTS in 56.7%. 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.

HerthaHertha
Hertha: season average per game by half
Per game 1H 2H Games
Goals scoredScored 1.00 1.38 8
Goals concededConceded 0.50 0.50 8
Shots 9.4 9.3 8
Shots facedOpp. shots 5.0 7.9 8
Shots on targetOn target 3.1 3.8 8
Shots on target facedOpp. on target 2.0 2.6 8
Corners wonCorners 2.4 3.3 8
Corners concededOpp. corners 2.4 3.0 8
Yellow cardsYellows 0.9 1.8 8
Opponent yellow cardsOpp. yellows 0.8 1.1 8
WolfsburgWolfsburg
Wolfsburg: season average per game by half
Per game 1H 2H Games
Goals scoredScored 1.44 1.11 9
Goals concededConceded 0.56 1.00 9
Shots 9.2 10.7 6
Shots facedOpp. shots 9.0 8.2 6
Shots on targetOn target 3.2 3.7 9
Shots on target facedOpp. on target 2.9 2.4 9
Corners wonCorners 3.0 3.7 9
Corners concededOpp. corners 3.6 3.3 9
Yellow cardsYellows 0.3 1.9 7
Opponent yellow cardsOpp. yellows 0.4 0.7 7
All model outcomes · full market spectrum & player markets

Shots

Over 22.5 80.8% Over 24.5 70.5% Over 26.5 58.7% Over 28.5 46.3%
Most: Hertha 56.1% Most: Wolfsburg 37.8%
Hertha Over 10.5 82.0%
Hertha Over 12.5 67.4%
Hertha Over 14.5 50.7% Wolfsburg Over 10.5 72.4%
Wolfsburg Over 12.5 54.9%
Wolfsburg Over 14.5 37.5%

Shots on target

Over 6.5 82.5% Over 7.5 72.6% Over 8.5 61.1% Over 9.5 49.0%
Most: Hertha 52.3% Most: Wolfsburg 35.7%
Hertha Over 3.5 73.6%
Hertha Over 4.5 57.4%
Hertha Over 5.5 41.3% Wolfsburg Over 3.5 63.4%
Wolfsburg Over 4.5 45.5%
Wolfsburg Over 5.5 29.7%

Cards

Over 2.5 78.6% Over 3.5 59.9% Over 4.5 40.4% Over 5.5 24.2%
Most: Hertha 34.4% Most: Wolfsburg 45.5%
Hertha Over 1.5 57.7%
Hertha Over 2.5 30.6% Wolfsburg Over 1.5 65.3%
Wolfsburg Over 2.5 38.6%

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.

Hertha clean sheet 39.9%
Wolfsburg clean sheet 10.5%
Hertha win to nil 35.2%
Wolfsburg win to nil 5.8%

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 67.8% draw 19.2% away 13.0%
double_chance
1X 87.0% 12 80.8% X2 32.3%
dnb
home 83.9% away 16.1%
btts
yes 53.2% no 46.8%
clean_sheet
home 41.0% away 10.5%
win_to_nil
home 36.3% away 5.8%
winning_margin
home_by_1 22.9% home_by_2 20.4% home_by_3plus 24.5%
away_by_1 8.8% away_by_2 3.2% away_by_3plus 1.0%
correct_score
0-0 4.7% 0-1 3.4% 0-2 1.7%
0-3 0.5% 0-4 0.1% 0-5 0.0%
1-0 9.3% 1-1 9.1% 1-2 3.9%
1-3 1.2% 1-4 0.3% 1-5 0.1%
2-0 10.9% 2-1 9.7% 2-2 4.3%
2-3 1.3% 2-4 0.3% 2-5 0.1%
3-0 8.2% 3-1 7.3% 3-2 3.3%
3-3 1.0% 3-4 0.2% 3-5 0.0%
4-0 4.7% 4-1 4.1% 4-2 1.8%
4-3 0.5% 4-4 0.1% 4-5 0.0%
5-0 2.1% 5-1 1.9% 5-2 0.8%
5-3 0.3% 5-4 0.1% 5-5 0.0%
other 2.8%
likeliest_score
h 200.0% a 0.0% p 10.9%
Goals: totals / handicap / exact calibrated
total
over_0.5 95.3% under_0.5 4.7% over_1.5 82.6%
under_1.5 17.4% over_2.5 60.9% under_2.5 39.1%
over_3.5 38.6% under_3.5 61.4% over_4.5 21.0%
under_4.5 79.0% over_5.5 10.0% under_5.5 90.1%
odd_even
odd 49.0% even 51.0%
team_home
over_0.5 89.5% under_0.5 10.5% over_1.5 65.9%
under_1.5 34.1% over_2.5 39.2% under_2.5 60.8%
team_away
over_0.5 59.0% under_0.5 41.0% over_1.5 22.4%
under_1.5 77.6% over_2.5 6.2% under_2.5 93.8%
most
home 67.8% draw 19.2% away 13.0%
handicap
home_-2.5 24.5% away_+2.5 75.5% home_-1.5 44.9%
away_+1.5 55.1% home_-0.5 67.8% away_+0.5 32.3%
home_+0.5 87.0% away_-0.5 13.0% home_+1.5 95.8%
away_-1.5 4.2% home_+2.5 99.0% away_-2.5 1.0%
total_exact
exact_0 4.7% exact_1 12.7% exact_2 21.7%
exact_3 22.3% exact_4 17.6% exact_5 11.1%
exact_6 5.8% exact_7plus 4.2%
First half range, not a point
1×2
home 29.2% draw 38.0% away 32.8%
total
over_0.5 75.8% under_0.5 24.2% over_1.5 41.4%
under_1.5 58.6% over_2.5 17.1% under_2.5 82.9%
btts
yes 25.8% no 74.3%
total_exact
exact_0 24.2% exact_1 34.3% exact_2 24.3%
exact_3 11.5% exact_4plus 5.6%
Second half range, not a point
1×2
home 46.8% draw 30.1% away 23.0%
total
over_0.5 85.9% under_0.5 14.1% over_1.5 58.2%
under_1.5 41.8% over_2.5 31.2% under_2.5 68.9%
btts
yes 37.0% no 63.0%
Half-time / full-time range, not a point
H/H 23.9% H/D 3.8% H/A 1.5%
D/H 17.8% D/D 11.5% D/A 8.8%
A/H 5.3% A/D 7.1% A/A 20.4%
Corners range, not a point
total
over_7.5 82.3% under_7.5 17.7% over_8.5 72.8%
under_8.5 27.2% over_9.5 61.8% under_9.5 38.2%
over_10.5 50.2% under_10.5 49.8% over_11.5 39.0%
under_11.5 61.0% over_12.5 28.9% under_12.5 71.1%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 76.8% under_3.5 23.2% over_4.5 62.1%
under_4.5 37.9% over_5.5 46.7% under_5.5 53.3%
team_away
over_3.5 72.9% under_3.5 27.1% over_4.5 57.1%
under_4.5 42.9% over_5.5 41.4% under_5.5 58.6%
most
home 48.2% draw 10.5% away 41.3%
handicap
home_-3.5 20.2% away_+3.5 79.8% home_-1.5 37.9%
away_+1.5 62.1% home_-0.5 48.2% away_+0.5 51.8%
home_+0.5 58.8% away_-0.5 41.3% home_+1.5 68.7%
away_-1.5 31.4% home_+3.5 84.4% away_-3.5 15.6%
Shots range, not a point
total
over_22.5 80.8% under_22.5 19.2% over_24.5 70.5%
under_24.5 29.5% over_26.5 58.7% under_26.5 41.3%
over_28.5 46.3% under_28.5 53.7%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 82.0% under_10.5 18.1% over_12.5 67.4%
under_12.5 32.6% over_14.5 50.7% under_14.5 49.3%
team_away
over_10.5 72.4% under_10.5 27.6% over_12.5 54.9%
under_12.5 45.1% over_14.5 37.5% under_14.5 62.5%
most
home 56.1% draw 6.1% away 37.8%
handicap
home_-4.5 31.7% away_+4.5 68.3% home_-2.5 43.7%
away_+2.5 56.4% home_-0.5 56.1% away_+0.5 43.9%
home_+0.5 62.2% away_-0.5 37.8% home_+2.5 73.4%
away_-2.5 26.6% home_+4.5 82.6% away_-4.5 17.4%
Shots on target range, not a point
total
over_6.5 82.5% under_6.5 17.5% over_7.5 72.6%
under_7.5 27.4% over_8.5 61.1% under_8.5 38.9%
over_9.5 49.0% under_9.5 51.0%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 73.6% under_3.5 26.4% over_4.5 57.4%
under_4.5 42.6% over_5.5 41.3% under_5.5 58.8%
team_away
over_3.5 63.4% under_3.5 36.6% over_4.5 45.5%
under_4.5 54.5% over_5.5 29.7% under_5.5 70.3%
most
home 52.3% draw 12.0% away 35.7%
handicap
home_-2.5 29.0% away_+2.5 71.0% home_-0.5 52.3%
away_+0.5 47.7% home_+0.5 64.3% away_-0.5 35.7%
home_+2.5 83.6% away_-2.5 16.4%
Cards calibrated
total
over_2.5 78.6% under_2.5 21.4% over_3.5 59.9%
under_3.5 40.1% over_4.5 40.4% under_4.5 59.6%
over_5.5 24.2% under_5.5 75.8%
odd_even
odd 50.0% even 50.0%
team_home
over_1.5 57.7% under_1.5 42.3% over_2.5 30.6%
under_2.5 69.4%
team_away
over_1.5 65.3% under_1.5 34.7% over_2.5 38.6%
under_2.5 61.4%
most
home 34.4% draw 20.1% away 45.5%
handicap
home_-1.5 18.2% away_+1.5 81.8% home_-0.5 34.4%
away_+0.5 65.6% home_+0.5 54.5% away_-0.5 45.5%
home_+1.5 73.2% away_-1.5 26.8%
Fouls calibrated
total
over_20.5 72.7% under_20.5 27.4% over_22.5 59.2%
under_22.5 40.8% over_24.5 45.1% under_24.5 54.9%
odd_even
odd 50.0% even 50.0%
team_home
over_9.5 69.0% under_9.5 31.0% over_11.5 48.6%
under_11.5 51.4% over_13.5 29.9% under_13.5 70.1%
team_away
over_9.5 75.4% under_9.5 24.6% over_11.5 56.5%
under_11.5 43.5% over_13.5 37.4% under_13.5 62.6%
most
home 40.9% draw 7.1% away 52.1%
handicap
home_-3.5 22.1% away_+3.5 77.9% home_-0.5 40.9%
away_+0.5 59.1% home_+2.5 62.1% away_-2.5 37.9%
Red card range, not a point
any
yes 12.1% no 87.9%
home
yes 5.9% no 94.1%
away
yes 6.6% no 93.4%
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.

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