Hertha 1-0 Bielefeld: result, our prediction

2. Bundesliga
HerthaHerthaWWWWD
Full time1-0Sat, 24 Oct 202624/1012:00UK
BielefeldBielefeldDLDWW
51.8%Home winFair odds 1.93
23.7%DrawFair odds 4.22
24.5%Away winFair odds 4.08
Pre-match: Most likely published score1-111.0%Fair odds 9.12

Pre-match model estimates · MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined81.7%
Over 7.5 cornersBoth teams combined81.4%
Hertha or draw75.5%

Prediction snapshot · Model generated · Bookmaker odds pending.

Post-match analysis

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

A call is the side our published probability favoured. If we leaned towards under and three goals went in, that counts as a miss.

The half-by-half shots come from a different source than the match shot total, and we only use them when the shots before the break add up to the actual half-time score. That is why the two numbers can differ slightly.

HerthaHertha
1-0FT
BielefeldBielefeld

Match data

Match data: Hertha and Bielefeld
HerthaHertha Statistic BielefeldBielefeld
1 Goals 0
0 Goals, 1st half 0
1 Goals, 2nd half 0
15 Shots 6
6 Shots, 1st half 2
9 Shots, 2nd half 4
4 Shots on target 1
3 On target, 1st half 1
1 On target, 2nd half 0
4 Corners 2
1 Yellow cards 2
0 Red cards 0
11 Fouls 11

RefereeCristian Ballweg

The result, on the record

Recorded tally 4 of 12 published calls on this match were right.

Published calls · recorded grading

# Market Our pick Our chance Recorded grade
1 Match result Pick: Hertha Chance: 51.8% Correct
2 Total goals 2.5 Pick: Over 2.5 Chance: 59.4% Wrong1 goals
3 Total goals 1.5 Pick: Over 1.5 Chance: 81.7% Wrong1 goals
4 Total goals 3.5 Pick: Under 3.5 Chance: 63.0% Correct1 goals
5 Both teams to score Pick: Yes Chance: 59.9% Wrong
6 First-half goal Pick: Yes Chance: 76.4% Wrong
# Market Our pick Our chance Recorded grade
7 Second-half goal Pick: Yes Chance: 81.6% Correct
8 Total corners 9.5 Pick: Over 9.5 Chance: 60.5% Wrong6 corners
9 Yellow cards 3.5 Pick: Over 3.5 Chance: 63.1% Wrong3 yellow cards
10 Total shots 24.5 Pick: Over 24.5 Chance: 67.5% Wrong21 shots
11 Shots on target 7.5 Pick: Over 7.5 Chance: 70.4% Wrong5 shots on target
12 Red card Pick: No Chance: 84.3% Correct

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)51.8%
Fair odds1.93
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel81.7%
Fair oddsFair1.22
Corners marketOver 7.5 corners
Model estimateModel81.4%
Fair oddsFair1.23
Double chance marketHertha or draw
Model estimateModel75.5%
Fair oddsFair1.32

Model read

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. Hertha lead the result estimateRead full analysisShow less

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. Hertha lead the result estimates at 51.8%. The match still has meaningful room for a draw or an opponent win. Over 7.5 shots on target · both teams stands out at 70.4%. 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
70.4%
Fair odds
1.42

Over 24.5 shots · both teams

Model estimate
67.5%
Fair odds
1.48

Over 3.5 cards · both teams

Model estimate
63.1%
Fair odds
1.59

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.
  • Bielefeld: 2 wins, 2 draws and 1 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 2 recorded meetings averaged 4.5 goals. This is a historical sample, not a forecast for this fixture.
  • Recorded season averages: Hertha 5.8 and Bielefeld 4.2 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

The numbers leave little room for romance here: Hertha at 52% against Bielefeld, 2. Bundesliga, 24 October 2026. Three things stand out in the data: 1) Totals sit close to the fence: 59% for Over 2.5 with both teams to score at 60%. 2) The recent series reads 0 wins for Hertha, 1 draws and 1 for Bielefeld over 2 games, 4.5 goals on average. 3) Form guide over the last six: Hertha W5 D1 L0, Bielefeld W2 D2 L2. The engine passes on this one (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 · 3-1
W
Win · 2-1
W
Win · 2-1
D
Draw · 0-0

4 wins · 1 draw · 0 losses

BielefeldBielefeldLast 5
D
Draw · 2-2
L
Loss · 1-2
D
Draw · 2-2
W
Win · 1-0
W
Win · 2-1

2 wins · 2 draws · 1 loss

W Win
D Draw
L Loss

Head-to-head

Last 2 meetings

0HerthaHertha wins
1Draws
1BielefeldBielefeld wins
4.5Average goals
Date
Home team
Score
Away team
BielefeldBielefeld
6 – 1
HerthaHertha
HerthaHertha
1 – 1
BielefeldBielefeld

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

Pre-match estimates, recorded before the match.

1X2

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 51.8%
Hertha

Model minus market: —
Market probability: —
Model probability: 23.7%
Draw

Model minus market: —
Market probability: —
Model probability: 24.5%
Bielefeld

Model minus market: —
Market probability: —

Goals

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 94.9%
Over 0.5 goals

Model minus market: —
Market probability: —
Model probability: 5.1%
Under 0.5 goals

Model minus market: —
Market probability: —
Model probability: 81.7%
Over 1.5 goals

Model minus market: —
Market probability: —
Model probability: 18.3%
Under 1.5 goals

Model minus market: —
Market probability: —
Model probability: 59.4%
Over 2.5 goals

Model minus market: —
Market probability: —
Model probability: 40.6%
Under 2.5 goals

Model minus market: —
Market probability: —
Model probability: 37.0%
Over 3.5 goals

Model minus market: —
Market probability: —
Model probability: 63.0%
Under 3.5 goals

Model minus market: —
Market probability: —
Model probability: 19.8%
Over 4.5 goals

Model minus market: —
Market probability: —
Model probability: 80.2%
Under 4.5 goals

Model minus market: —
Market probability: —
Model probability: 9.2%
Over 5.5 goals

Model minus market: —
Market probability: —
Model probability: 90.8%
Under 5.5 goals

Model minus market: —
Market probability: —
Model probability: 59.9%
Both teams to score · Yes

Model minus market: —
Market probability: —
Model probability: 40.1%
Both teams to score · No

Model minus market: —
Market probability: —

Cards

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 80.8%
Over 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 19.2%
Under 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 63.1%
Over 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 37.0%
Under 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 43.8%
Over 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 56.2%
Under 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 27.1%
Over 5.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 73.0%
Under 5.5 yellow cards

Model minus market: —
Market probability: —

Corners

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 81.4%
Over 7.5 corners

Model minus market: —
Market probability: —
Model probability: 18.6%
Under 7.5 corners

Model minus market: —
Market probability: —
Model probability: 71.6%
Over 8.5 corners

Model minus market: —
Market probability: —
Model probability: 28.4%
Under 8.5 corners

Model minus market: —
Market probability: —
Model probability: 60.5%
Over 9.5 corners

Model minus market: —
Market probability: —
Model probability: 39.6%
Under 9.5 corners

Model minus market: —
Market probability: —
Model probability: 48.8%
Over 10.5 corners

Model minus market: —
Market probability: —
Model probability: 51.2%
Under 10.5 corners

Model minus market: —
Market probability: —
Model probability: 37.6%
Over 11.5 corners

Model minus market: —
Market probability: —
Model probability: 62.4%
Under 11.5 corners

Model minus market: —
Market probability: —
Model probability: 27.7%
Over 12.5 corners

Model minus market: —
Market probability: —
Model probability: 72.3%
Under 12.5 corners

Model minus market: —
Market probability: —

Shots

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 78.4%
Over 22.5 shots

Model minus market: —
Market probability: —
Model probability: 21.6%
Under 22.5 shots

Model minus market: —
Market probability: —
Model probability: 67.5%
Over 24.5 shots

Model minus market: —
Market probability: —
Model probability: 32.5%
Under 24.5 shots

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

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

Model minus market: —
Market probability: —
Model probability: 43.0%
Over 28.5 shots

Model minus market: —
Market probability: —
Model probability: 57.1%
Under 28.5 shots

Model minus market: —
Market probability: —
Model probability: 80.8%
Over 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 19.2%
Under 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 70.4%
Over 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 29.6%
Under 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 58.5%
Over 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 41.5%
Under 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 46.4%
Over 9.5 shots on target

Model minus market: —
Market probability: —
Model probability: 53.6%
Under 9.5 shots on target

Model minus market: —
Market probability: —
Market comparison unavailable

No comparable pre-match bookmaker probabilities were recorded.

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 win1.93
Draw4.22
Bielefeld win4.08
Both teams to score1.67

Goals

Over 0.5 goals1.05
Over 1.5 goals1.22
Over 2.5 goals1.68
Over 3.5 goals2.70
Hertha most1.93
Bielefeld most4.09

Corners

Over 7.5 corners1.23
Over 8.5 corners1.40
Over 9.5 corners1.65
Over 10.5 corners2.05
Hertha most2.26
Bielefeld most2.21

Cards

Over 2.5 cards1.24
Over 3.5 cards1.59
Over 4.5 cards2.28
Over 5.5 cards3.70
Hertha most2.40
Bielefeld most2.60

Shots on target

Over 6.5 SoT1.24
Over 7.5 SoT1.42
Over 8.5 SoT1.71
Over 9.5 SoT2.16
Hertha most1.71
Bielefeld most3.36

Shots

Over 22.5 shots1.28
Over 24.5 shots1.48
Over 26.5 shots1.81
Over 28.5 shots2.33
Hertha most1.86
Bielefeld most2.50

Fouls

Over 20.5 fouls1.32
Over 22.5 fouls1.59
Over 24.5 fouls2.05

Corners

Both teams combined.

Over 7.5 corners81.4%1.23Very likely
Over 8.5 corners71.6%1.40Likely
Over 9.5 corners60.5%1.65Likely
Over 10.5 corners48.8%2.05Close call
Over 11.5 corners37.6%2.66Unlikely
Over 12.5 corners27.7%3.61Long 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

44.2%Fair odds 2.26

Bielefeld

Model probability

45.2%Fair odds 2.21

Read context

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

Hertha

Bielefeld

Shots

Both teams combined.

Over 22.5 shots78.4%1.28Very likely
Over 24.5 shots67.5%1.48Likely
Over 26.5 shots55.4%1.81Close call
Over 28.5 shots43.0%2.33Unlikely
Over 6.5 on target80.8%1.24Very likely
Over 7.5 on target70.4%1.42Likely
Over 8.5 on target58.5%1.71Close call
Over 9.5 on target46.4%2.16Close 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 · Likely

Over 8.5 on target · Close call

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 Bielefeld
Model expects Shots On target
Hertha 14.3 5.3
Bielefeld 13.2 4.1
Both teams 27.5 9.4

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 Bielefeld 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 19.8 13.2 7.3
Bielefeld 13.2 10.7 3.2
Hertha at home 16.5 15.3 6.3
Bielefeld away 15.2 14.5 4.2

Totals line guide

Both teams combined.

Over 0.594.9%Over 1.581.7%Over 2.559.4%Over 3.537.0%Over 4.519.8%Over 5.59.2%
Our stored model focusOver 1.581.7%

The stored model call was Our price. The match has been played, so this is a historical snapshot: the graded result is below.

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 81.7%
Fair odds Fair 1.22
Over 2.52.5 goals, Medium risk
Model probability 59.4%
Fair odds Fair 1.68
Over 3.53.5 goals, High risk
Model probability 37.0%
Fair odds Fair 2.70

Corners

Over 8.58.5 corners, Low risk
Model probability 71.6%
Fair odds Fair 1.40
Over 9.59.5 corners, Medium risk
Model probability 60.5%
Fair odds Fair 1.65
Over 11.511.5 corners, High risk
Model probability 37.6%
Fair odds Fair 2.66

Shots

Over 22.522.5 shots, Low risk
Model probability 78.4%
Fair odds Fair 1.28
Over 26.526.5 shots, Medium risk
Model probability 55.4%
Fair odds Fair 1.81
Over 28.528.5 shots, High risk
Model probability 43.0%
Fair odds Fair 2.33

Shots on target

Over 7.57.5 shots on target, Low risk
Model probability 70.4%
Fair odds Fair 1.42
Over 8.58.5 shots on target, Medium risk
Model probability 58.5%
Fair odds Fair 1.71
Over 9.59.5 shots on target, High risk
Model probability 46.4%
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 0-05.1%Fair odds 19.46 1-08.0%Fair odds 12.44 2-07.9%Fair odds 12.59 3-04.9%Fair odds 20.33 4-02.3%Fair odds 43.67 5-00.9%Fair odds 116.28
Away goals 1 0-15.1%Fair odds 19.57 1-111.0%Fair odds 9.12 2-19.7%Fair odds 10.33 3-16.0%Fair odds 16.67 4-12.8%Fair odds 35.84 5-11.0%Fair odds 96.15
Away goals 2 0-23.4%Fair odds 29.15 1-26.4%Fair odds 15.72 2-25.9%Fair odds 16.95 3-23.7%Fair odds 27.32 4-21.7%Fair odds 58.82 5-20.6%Fair odds 156.25
Away goals 3 0-31.4%Fair odds 71.43 1-32.6%Fair odds 38.76 2-32.4%Fair odds 41.67 3-31.5%Fair odds 67.57 4-30.7%Fair odds 144.93 5-30.3%Fair odds 384.62
Away goals 4 0-40.4%Fair odds 232.56 1-40.8%Fair odds 126.58 2-40.7%Fair odds 136.99 3-40.4%Fair odds 222.22 4-40.2%Fair odds 476.19 5-40.1%Fair odds 1,250.00
Away goals 5 0-50.1%Fair odds 1,000.00 1-50.2%Fair odds 526.32 2-50.2%Fair odds 555.56 3-50.1%Fair odds 909.09 4-50.1%Fair odds 2,000.00 5-50.0%Fair odds 5,000.00

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability11.0%
Fair odds9.12
2-1
Model probability9.7%
Fair odds10.33
1-0
Model probability8.0%
Fair odds12.44

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.

Cristian Ballweg

Recorded match referee.

No completed matches with this referee in our data yet.

Team history with this referee
Team
Hertha Not available Not available Not available
Bielefeld Not available Not available Not available

No matching history for this referee is available for one or both teams.

Season stats

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

HerthaHertha
BielefeldBielefeld

Overview

Statistic
Hertha
Bielefeld
League position
#1 of 18
#8 of 18
Matches played
8
8
Record W-D-L
7-1-0
3-2-3
Recent form
WWWWD
Last 5 matches
DLDWW
Last 5 matches
Current streak
D1
W2
Points per game
2.75
1.38
Record, home vs away
3-0-0
1-0-3
PPG, home vs away
3.00
0.75

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

Show all season statsHide season stats

Goals

Statistic
Hertha
Bielefeld
Goals scored per game
2.38
1.62
Goals conceded per game
1.00
1.62
Scored, home vs away
2.67
1.00
Conceded, home vs away
1.00
2.00
1st half goals per game
1.14
0.57
2nd half goals per game
1.57
1.00

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

Shooting

Statistic
Hertha
Bielefeld
Shots per game
17.8
12.0
Shots faced per game
14.6
13.2
Shots on target per game
5.8
4.2

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

Corners & discipline

Statistic
Hertha
Bielefeld
Corners won per game
5.8
6.2
Fouls per game
13.8
12.8

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

Goal rates

Statistic
Hertha
Bielefeld
Over 2.5 rate
75.0%
87.5%
BTTS rate
75.0%
75.0%
Clean sheets
25.0%
25.0%

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

League averages this season: 3.05 goals per match · Over 2.5 in 56.8% · BTTS in 58.1%. 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.

This match

This match by half: Hertha and Bielefeld
Hertha Bielefeld
Statistic 1H 2H 1H 2H
Goals 0 1 0 0
Shots 6 9 2 4
Shots on target 3 1 1 0
Corners 0 4 1 1
Yellow cards 0 1 2 0
HerthaHertha
Hertha: season average per game by half
Per game 1H 2H Games
Goals scoredScored 1.14 1.57 7
Goals concededConceded 0.57 0.57 7
Yellow cardsYellows 0.8 2.2 5
Opponent yellow cardsOpp. yellows 0.6 1.6 5
BielefeldBielefeld
Bielefeld: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.57 1.00 7
Goals concededConceded 1.14 0.57 7
Yellow cardsYellows 0.7 1.0 6
Opponent yellow cardsOpp. yellows 1.2 1.5 6
All model outcomes · full market spectrum & player markets

Shots

Over 22.5 78.4% Over 24.5 67.5% Over 26.5 55.4% Over 28.5 43.0%
Most: Hertha 53.8% Most: Bielefeld 40.0%
Hertha Over 10.5 79.3%
Hertha Over 12.5 63.7%
Hertha Over 14.5 46.7% Bielefeld Over 10.5 71.8%
Bielefeld Over 12.5 54.2%
Bielefeld Over 14.5 36.8%

Shots on target

Over 6.5 80.8% Over 7.5 70.4% Over 8.5 58.5% Over 9.5 46.4%
Most: Hertha 58.6% Most: Bielefeld 29.8%
Hertha Over 3.5 75.4%
Hertha Over 4.5 59.8%
Hertha Over 5.5 43.7% Bielefeld Over 3.5 57.1%
Bielefeld Over 4.5 38.8%
Bielefeld Over 5.5 23.8%

Cards

Over 2.5 80.8% Over 3.5 63.1% Over 4.5 43.8% Over 5.5 27.1%
Most: Hertha 41.7% Most: Bielefeld 38.5%
Hertha Over 1.5 64.9%
Hertha Over 2.5 38.1% Bielefeld Over 1.5 62.7%
Bielefeld Over 2.5 35.8%

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 29.2%
Bielefeld clean sheet 15.6%
Hertha win to nil 24.1%
Bielefeld win to nil 10.5%

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 51.8% draw 23.7% away 24.5%
double_chance
1X 75.5% 12 76.3% X2 48.2%
dnb
home 67.9% away 32.1%
btts
yes 59.9% no 40.1%
clean_sheet
home 29.6% away 15.6%
win_to_nil
home 24.4% away 10.5%
winning_margin
home_by_1 22.2% home_by_2 15.9% home_by_3plus 13.7%
away_by_1 14.4% away_by_2 6.9% away_by_3plus 3.2%
correct_score
0-0 5.1% 0-1 5.1% 0-2 3.4%
0-3 1.4% 0-4 0.4% 0-5 0.1%
1-0 8.0% 1-1 11.0% 1-2 6.4%
1-3 2.6% 1-4 0.8% 1-5 0.2%
2-0 7.9% 2-1 9.7% 2-2 5.9%
2-3 2.4% 2-4 0.7% 2-5 0.2%
3-0 4.9% 3-1 6.0% 3-2 3.7%
3-3 1.5% 3-4 0.4% 3-5 0.1%
4-0 2.3% 4-1 2.8% 4-2 1.7%
4-3 0.7% 4-4 0.2% 4-5 0.1%
5-0 0.9% 5-1 1.0% 5-2 0.6%
5-3 0.3% 5-4 0.1% 5-5 0.0%
other 1.4%
likeliest_score
h 100.0% a 100.0% p 11.0%
Goals: totals / handicap / exact calibrated
total
over_0.5 94.9% under_0.5 5.1% over_1.5 81.7%
under_1.5 18.3% over_2.5 59.4% under_2.5 40.6%
over_3.5 37.0% under_3.5 63.0% over_4.5 19.8%
under_4.5 80.2% over_5.5 9.2% under_5.5 90.8%
odd_even
odd 48.9% even 51.2%
team_home
over_0.5 84.4% under_0.5 15.6% over_1.5 55.4%
under_1.5 44.6% over_2.5 28.5% under_2.5 71.5%
team_away
over_0.5 70.4% under_0.5 29.6% over_1.5 34.4%
under_1.5 65.6% over_2.5 12.5% under_2.5 87.5%
most
home 51.8% draw 23.7% away 24.5%
handicap
home_-2.5 13.7% away_+2.5 86.3% home_-1.5 29.7%
away_+1.5 70.4% home_-0.5 51.8% away_+0.5 48.2%
home_+0.5 75.5% away_-0.5 24.5% home_+1.5 89.9%
away_-1.5 10.1% home_+2.5 96.8% away_-2.5 3.2%
total_exact
exact_0 5.1% exact_1 13.2% exact_2 22.3%
exact_3 22.4% exact_4 17.2% exact_5 10.6%
exact_6 5.4% exact_7plus 3.8%
First half range, not a point
1×2
home 48.5% draw 35.3% away 16.2%
total
over_0.5 76.4% under_0.5 23.6% over_1.5 42.4%
under_1.5 57.6% over_2.5 17.8% under_2.5 82.2%
btts
yes 22.8% no 77.3%
total_exact
exact_0 23.6% exact_1 34.1% exact_2 24.6%
exact_3 11.9% exact_4plus 5.9%
Second half range, not a point
1×2
home 37.1% draw 34.0% away 29.0%
total
over_0.5 81.6% under_0.5 18.4% over_1.5 50.5%
under_1.5 49.5% over_2.5 24.1% under_2.5 75.9%
btts
yes 32.4% no 67.6%
Half-time / full-time range, not a point
H/H 38.7% H/D 6.9% H/A 2.9%
D/H 13.1% D/D 12.0% D/A 10.2%
A/H 1.8% A/D 3.4% A/A 11.0%
Corners range, not a point
total
over_7.5 81.4% under_7.5 18.6% over_8.5 71.6%
under_8.5 28.4% over_9.5 60.5% under_9.5 39.6%
over_10.5 48.8% under_10.5 51.2% over_11.5 37.6%
under_11.5 62.4% over_12.5 27.7% under_12.5 72.3%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 73.8% under_3.5 26.2% over_4.5 58.3%
under_4.5 41.7% over_5.5 42.7% under_5.5 57.3%
team_away
over_3.5 74.5% under_3.5 25.6% over_4.5 59.1%
under_4.5 40.9% over_5.5 43.5% under_5.5 56.5%
most
home 44.2% draw 10.6% away 45.2%
handicap
home_-3.5 17.3% away_+3.5 82.7% home_-1.5 34.0%
away_+1.5 66.0% home_-0.5 44.2% away_+0.5 55.8%
home_+0.5 54.8% away_-0.5 45.2% home_+1.5 65.0%
away_-1.5 35.0% home_+3.5 82.0% away_-3.5 18.1%
Shots range, not a point
total
over_22.5 78.4% under_22.5 21.6% over_24.5 67.5%
under_24.5 32.5% over_26.5 55.4% under_26.5 44.6%
over_28.5 43.0% under_28.5 57.1%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 79.3% under_10.5 20.7% over_12.5 63.7%
under_12.5 36.3% over_14.5 46.7% under_14.5 53.3%
team_away
over_10.5 71.8% under_10.5 28.2% over_12.5 54.2%
under_12.5 45.9% over_14.5 36.8% under_14.5 63.2%
most
home 53.8% draw 6.2% away 40.0%
handicap
home_-4.5 29.6% away_+4.5 70.4% home_-2.5 41.3%
away_+2.5 58.7% home_-0.5 53.8% away_+0.5 46.2%
home_+0.5 60.0% away_-0.5 40.0% home_+2.5 71.6%
away_-2.5 28.4% home_+4.5 81.2% away_-4.5 18.8%
Shots on target range, not a point
total
over_6.5 80.8% under_6.5 19.2% over_7.5 70.4%
under_7.5 29.6% over_8.5 58.5% under_8.5 41.5%
over_9.5 46.4% under_9.5 53.6%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 75.4% under_3.5 24.6% over_4.5 59.8%
under_4.5 40.3% over_5.5 43.7% under_5.5 56.3%
team_away
over_3.5 57.1% under_3.5 42.9% over_4.5 38.8%
under_4.5 61.2% over_5.5 23.8% under_5.5 76.2%
most
home 58.6% draw 11.6% away 29.8%
handicap
home_-2.5 34.4% away_+2.5 65.6% home_-0.5 58.6%
away_+0.5 41.4% home_+0.5 70.2% away_-0.5 29.8%
home_+2.5 87.6% away_-2.5 12.4%
Cards calibrated
total
over_2.5 80.8% under_2.5 19.2% over_3.5 63.1%
under_3.5 37.0% over_4.5 43.8% under_4.5 56.2%
over_5.5 27.1% under_5.5 73.0%
odd_even
odd 50.0% even 50.0%
team_home
over_1.5 64.9% under_1.5 35.1% over_2.5 38.1%
under_2.5 61.9%
team_away
over_1.5 62.7% under_1.5 37.3% over_2.5 35.8%
under_2.5 64.2%
most
home 41.7% draw 19.8% away 38.5%
handicap
home_-1.5 24.1% away_+1.5 75.9% home_-0.5 41.7%
away_+0.5 58.3% home_+0.5 61.5% away_-0.5 38.5%
home_+1.5 78.5% away_-1.5 21.5%
Fouls calibrated
total
over_20.5 75.8% under_20.5 24.2% over_22.5 62.9%
under_22.5 37.1% over_24.5 48.9% under_24.5 51.1%
odd_even
odd 50.0% even 50.0%
team_home
over_9.5 74.3% under_9.5 25.7% over_11.5 54.9%
under_11.5 45.1% over_13.5 35.6% under_13.5 64.4%
team_away
over_9.5 75.0% under_9.5 25.0% over_11.5 55.8%
under_11.5 44.2% over_13.5 36.5% under_13.5 63.5%
most
home 45.8% draw 7.1% away 47.1%
handicap
home_-3.5 26.1% away_+3.5 73.9% home_-0.5 45.8%
away_+0.5 54.2% home_+2.5 66.6% away_-2.5 33.4%
Red card range, not a point
any
yes 15.7% no 84.3%
home
yes 12.0% no 88.0%
away
yes 4.2% no 95.8%
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.

Explore this match