Borussia Monchengladbach vs Paderborn prediction

Bundesliga
M'gladbachM'gladbachLLLLW
Sat, 31 Oct 202631/1014:30UK10°C · Cloudy
PaderbornPaderbornLWLDW
54.7%Home winFair odds 1.83
21.4%DrawFair odds 4.67
23.9%Away winFair odds 4.18
Most likely published score1-110.0%Fair odds 9.99

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined84.9%
M'gladbach or draw76.1%
Over 7.5 cornersBoth teams combined74.6%

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

M'gladbach
Match winner (1X2)54.7%
Fair odds1.83
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel84.9%
Fair oddsFair1.18
Double chance marketM'gladbach or draw
Model estimateModel76.1%
Fair oddsFair1.31
Corners marketOver 7.5 corners
Model estimateModel74.6%
Fair oddsFair1.34

Model read

M'gladbach lead the result estimates at 54.7%. The match still has meaningful room for a draw or an opponent win. Over 7.5 shots on target · both teamRead full analysisShow less

M'gladbach lead the result estimates at 54.7%. The match still has meaningful room for a draw or an opponent win. Over 7.5 shots on target · both teams stands out at 74.8%. 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
74.8%
Fair odds
1.34

Over 2.5 goals

Model estimate
64.5%
Matching market
64.3%
Difference
+0.2 pp
Fair odds
1.55
Recorded odds
1.50

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

Over 24.5 shots · both teams

Model estimate
64.1%
Fair odds
1.56

Context & limits

  • M'gladbach: 1 wins, 0 draws and 4 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Paderborn: 2 wins, 1 draws and 2 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 4 recorded meetings averaged 2.8 goals. This is a historical sample, not a forecast for this fixture.
  • Recorded season averages: M'gladbach 4.7 and Paderborn 3.4 shots on target per game. These are team averages, not a forecast of this match total.
  • Player watch: Rayan Philippe (Paderborn) records 1.22 shots on target per 90 minutes over 1402 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

Few Bundesliga fixtures are this lopsided in the data: M'gladbach carry a 55% win probability against Paderborn on 31 October 2026. Notably, the model is warmer on M'gladbach than the market (49%). We flag disagreement rather than hide it. The goals profile is lively: Over 2.5 sits at 64% with both teams to score at 64%. Recent form reads W1 D0 L5 for M'gladbach against W2 D1 L3 for Paderborn. Paderborn are newly promoted, a profile the model deliberately prices with caution. History adds colour: across the last 4 meetings it is 4 wins for M'gladbach, 0 draws and 0 for Paderborn at 2.8 goals per match. For shots markets, Tim Kleindienst is the obvious watch at 1.0 on target per 90 in recent data. Discipline says sit it out: trust gate: NO_TRUST (segment historically unreliable).

Form & head-to-head

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

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

M'gladbachM'gladbachLast 5
L
Loss · 0-5
L
Loss · 3-4
L
Loss · 1-2
L
Loss · 1-2
W
Win · 3-2

1 win · 0 draws · 4 losses

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

2 wins · 1 draw · 2 losses

W Win
D Draw
L Loss

Head-to-head

Last 4 meetings

4M'gladbachM'gladbach wins
0Draws
0PaderbornPaderborn wins
2.8Average goals
Date
Home team
Score
Away team
PaderbornPaderborn
1 – 3
M'gladbachM'gladbach
M'gladbachM'gladbach
2 – 0
PaderbornPaderborn
M'gladbachM'gladbach
2 – 0
PaderbornPaderborn
PaderbornPaderborn
1 – 2
M'gladbachM'gladbach

Odds: model vs bookmaker

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

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

Model vs market

Model estimates and recorded bookmaker probabilities.

1X2, Goals, Corners and Shots: Bet365 prices via API-Football, observed 28 Oct 2026, 13:53 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.

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

1X2

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 54.7%
M'gladbach

Model minus market: +4.6 pp
Market probability: 50.1%
Model probability: 21.4%
Draw

Model minus market: -2.1 pp
Market probability: 23.5%
Model probability: 23.9%
Paderborn

Model minus market: -2.5 pp
Market probability: 26.4%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 95.9%
Over 0.5 goals

Model minus market: -0.5 pp
Market probability: 96.4%
Model probability: 4.1%
Under 0.5 goals

Model minus market: +0.5 pp
Market probability: 3.6%
Model probability: 84.9%
Over 1.5 goals

Model minus market: +0.1 pp
Market probability: 84.8%
Model probability: 15.1%
Under 1.5 goals

Model minus market: -0.1 pp
Market probability: 15.2%
Model probability: 64.5%
Over 2.5 goals

Model minus market: +0.2 pp
Market probability: 64.3%
Model probability: 35.5%
Under 2.5 goals

Model minus market: -0.2 pp
Market probability: 35.8%
Model probability: 42.4%
Over 3.5 goals

Model minus market: -0.3 pp
Market probability: 42.8%
Model probability: 57.6%
Under 3.5 goals

Model minus market: +0.3 pp
Market probability: 57.2%
Model probability: 24.2%
Over 4.5 goals

Model minus market: +1.7 pp
Market probability: 22.5%
Model probability: 75.8%
Under 4.5 goals

Model minus market: -1.7 pp
Market probability: 77.5%
Model probability: 12.0%
Over 5.5 goals

Model minus market: +0.3 pp
Market probability: 11.7%
Model probability: 88.0%
Under 5.5 goals

Model minus market: -0.3 pp
Market probability: 88.3%
Model probability: 63.9%
Both teams to score · Yes

Model minus market: -1.7 pp
Market probability: 65.6%
Model probability: 36.1%
Both teams to score · No

Model minus market: +1.7 pp
Market probability: 34.4%

Cards

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 72.1%
Over 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 27.9%
Under 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 51.4%
Over 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 48.6%
Under 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 32.0%
Over 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 68.0%
Under 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 17.5%
Over 5.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 82.5%
Under 5.5 yellow cards

Model minus market: —
Market probability: —

Corners

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 74.6%
Over 7.5 corners

Model minus market: —
Market probability: —
Model probability: 25.4%
Under 7.5 corners

Model minus market: —
Market probability: —
Model probability: 63.3%
Over 8.5 corners

Model minus market: —
Market probability: —
Model probability: 36.7%
Under 8.5 corners

Model minus market: —
Market probability: —
Model probability: 51.2%
Over 9.5 corners

Model minus market: +2.8 pp
Market probability: 48.4%
Model probability: 48.8%
Under 9.5 corners

Model minus market: -2.8 pp
Market probability: 51.6%
Model probability: 39.4%
Over 10.5 corners

Model minus market: —
Market probability: —
Model probability: 60.6%
Under 10.5 corners

Model minus market: —
Market probability: —
Model probability: 28.9%
Over 11.5 corners

Model minus market: —
Market probability: —
Model probability: 71.1%
Under 11.5 corners

Model minus market: —
Market probability: —
Model probability: 20.2%
Over 12.5 corners

Model minus market: —
Market probability: —
Model probability: 79.8%
Under 12.5 corners

Model minus market: —
Market probability: —

Shots

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 75.0%
Over 22.5 shots

Model minus market: —
Market probability: —
Model probability: 25.0%
Under 22.5 shots

Model minus market: —
Market probability: —
Model probability: 64.1%
Over 24.5 shots

Model minus market: —
Market probability: —
Model probability: 35.9%
Under 24.5 shots

Model minus market: —
Market probability: —
Model probability: 52.2%
Over 26.5 shots

Model minus market: —
Market probability: —
Model probability: 47.8%
Under 26.5 shots

Model minus market: —
Market probability: —
Model probability: 40.4%
Over 28.5 shots

Model minus market: —
Market probability: —
Model probability: 59.6%
Under 28.5 shots

Model minus market: —
Market probability: —
Model probability: 83.9%
Over 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 16.1%
Under 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 74.8%
Over 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 25.2%
Under 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 64.0%
Over 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 36.0%
Under 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 52.6%
Over 9.5 shots on target

Model minus market: +2.6 pp
Market probability: 50.0%
Model probability: 47.4%
Under 9.5 shots on target

Model minus market: -2.6 pp
Market probability: 50.0%

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

M'gladbach winBookmaker2.00Model fair1.83Model minus bookmaker probability, percentage points: +4.6 pp
DrawBookmaker4.04Model fair4.67Model minus bookmaker probability, percentage points: -3.3 pp
Paderborn winBookmaker3.49Model fair4.18Model minus bookmaker probability, percentage points: -4.7 pp

Goals · 2.5

Over 2.5 goalsBookmaker1.50Model fair1.55Model minus bookmaker probability, percentage points: -2.1 pp
Under 2.5 goalsBookmaker2.63Model fair2.82Model minus bookmaker probability, percentage points: -2.5 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

M'gladbach win1.83
Draw4.67
Paderborn win4.18
Both teams to score1.56

Goals

Over 1.5 goals1.18
Over 2.5 goals1.55
Over 3.5 goals2.36
Over 4.5 goals4.14
M'gladbach most1.90
Paderborn most4.06

Corners

Over 7.5 corners1.34
Over 8.5 corners1.58
Over 9.5 corners1.95
Over 10.5 corners2.54
M'gladbach most1.74
Paderborn most3.11

Cards

Over 2.5 cards1.39
Over 3.5 cards1.95
Over 4.5 cards3.12
Over 5.5 cards5.70
M'gladbach most2.59
Paderborn most2.50

Shots on target

Over 6.5 SoT1.19
Over 7.5 SoT1.34
Over 8.5 SoT1.56
Over 9.5 SoT1.90
M'gladbach most1.73
Paderborn most3.21

Shots

Over 22.5 shots1.33
Over 24.5 shots1.56
Over 26.5 shots1.92
Over 28.5 shots2.48
M'gladbach most1.66
Paderborn most2.94

Fouls

Over 20.5 fouls1.80
Over 22.5 fouls2.33
Over 24.5 fouls3.16

Corners

Both teams combined.

Over 7.5 corners74.6%1.34Likely
Over 8.5 corners63.3%1.58Likely
Over 9.5 corners51.2%1.95Close call
Over 10.5 corners39.4%2.54Unlikely
Over 11.5 corners28.9%3.46Long shot
Over 12.5 corners20.2%4.95Long shot
Read context

Both teams combined

Over 7.5 corners · Likely

Over 8.5 corners · Likely

Over 9.5 corners · Close call

Over 10.5 corners · Unlikely

Over 11.5 corners · Long shot

Over 12.5 corners · Long shot

Most corners

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

M'gladbach

Model probability

57.4%Fair odds 1.74

Paderborn

Model probability

32.2%Fair odds 3.11

Read context

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

M'gladbach

Paderborn

Shots

Both teams combined.

Over 22.5 shots75.0%1.33Very likely
Over 24.5 shots64.1%1.56Likely
Over 26.5 shots52.2%1.92Close call
Over 28.5 shots40.4%2.48Unlikely
Over 6.5 on target83.9%1.19Very likely
Over 7.5 on target74.8%1.34Likely
Over 8.5 on target64.0%1.56Likely
Over 9.5 on target52.6%1.90Close 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 · 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, M'gladbach vs Paderborn
Model expects Shots On target
M'gladbach 14.6 5.6
Paderborn 12.5 4.4
Both teams 27.1 10.0

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: M'gladbach at home and Paderborn 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
M'gladbach 15.3 16.3 4.8
Paderborn 14.7 16.2 4.0
M'gladbach at home 14.2 13.2 5.0
Paderborn away 12.3 15.2 2.7

Totals line guide

Both teams combined.

Over 0.595.9%Over 1.584.9%Over 2.564.5%Over 3.542.4%Over 4.524.2%Over 5.512.0%
Recommended focusOver 2.564.5%

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

Read context

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

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

Market explorer

Model probabilities and fair odds.

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

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

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

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

Low riskMedium riskHigh risk

Cards

Over 2.52.5 cards, Low risk
Model probability 72.1%
Fair odds Fair 1.39
Over 3.53.5 cards, Medium risk
Model probability 51.4%
Fair odds Fair 1.95
Over 4.54.5 cards, High risk
Model probability 32.0%
Fair odds Fair 3.12

Corners

Over 7.57.5 corners, Low risk
Model probability 74.6%
Fair odds Fair 1.34
Over 9.59.5 corners, Medium risk
Model probability 51.2%
Fair odds Fair 1.95
Over 10.510.5 corners, High risk
Model probability 39.4%
Fair odds Fair 2.54

Shots

Over 22.522.5 shots, Low risk
Model probability 75.0%
Fair odds Fair 1.33
Over 26.526.5 shots, Medium risk
Model probability 52.2%
Fair odds Fair 1.92
Over 28.528.5 shots, High risk
Model probability 40.4%
Fair odds Fair 2.48

Goals

Over 0.50.5 goals, Low risk
Model probability 95.9%
Fair odds Fair 1.04
Over 1.51.5 goals, Low risk
Model probability 84.9%
Fair odds Fair 1.18
Over 3.53.5 goals, High risk
Model probability 42.4%
Fair odds Fair 2.36
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-04.1%Fair odds 24.45 1-06.8%Fair odds 14.79 2-07.2%Fair odds 13.83 3-04.8%Fair odds 20.75 4-02.4%Fair odds 41.49 5-01.0%Fair odds 104.17
Away goals 1 0-14.3%Fair odds 23.31 1-110.0%Fair odds 9.99 2-19.5%Fair odds 10.49 3-16.4%Fair odds 15.72 4-13.2%Fair odds 31.45 5-11.3%Fair odds 78.74
Away goals 2 0-23.1%Fair odds 31.85 1-26.3%Fair odds 15.90 2-26.3%Fair odds 15.87 3-24.2%Fair odds 23.81 4-22.1%Fair odds 47.62 5-20.8%Fair odds 119.05
Away goals 3 0-31.4%Fair odds 72.46 1-32.8%Fair odds 36.10 2-32.8%Fair odds 36.10 3-31.8%Fair odds 54.05 4-30.9%Fair odds 107.53 5-30.4%Fair odds 270.27
Away goals 4 0-40.5%Fair odds 217.39 1-40.9%Fair odds 108.70 2-40.9%Fair odds 108.70 3-40.6%Fair odds 163.93 4-40.3%Fair odds 322.58 5-40.1%Fair odds 833.33
Away goals 5 0-50.1%Fair odds 833.33 1-50.2%Fair odds 416.67 2-50.2%Fair odds 416.67 3-50.2%Fair odds 625.00 4-50.1%Fair odds 1,250.00 5-50.0%Fair odds 3,333.33

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability10.0%
Fair odds9.99
2-1
Model probability9.5%
Fair odds10.49
2-0
Model probability7.2%
Fair odds13.83

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.

M'gladbachM'gladbach
PaderbornPaderborn

Overview

Statistic
M'gladbach
Paderborn
League position
#18 of 18
#13 of 18
Matches played
7
7
Record W-D-L
1-0-6
2-2-3
Recent form
LLLLW
Last 5 matches
LWLDW
Last 5 matches
Current streak
W1
W1
Points per game
0.43
1.14
Record, home vs away
0-0-3
0-2-1
PPG, home vs away
0.00
0.67

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

Show all season statsHide season stats

Goals

Statistic
M'gladbach
Paderborn
Goals scored per game
1.57
0.86
Goals conceded per game
3.14
1.29
Scored, home vs away
2.33
0.67
Conceded, home vs away
3.33
1.67
1st half goals per game
0.71
0.57
2nd half goals per game
0.86
0.29
xG for per game
1.70
1.13
xG against per game
2.59
1.89

Scale: 0–4 goals or expected goals (xG) per game. Each team uses the same scale independently.

Shooting

Statistic
M'gladbach
Paderborn
Shots per game
15.3
14.0
Shots faced per game
17.6
16.9
Shots on target per game
4.7
3.4
1st half shots per game
7.0
6.1
2nd half shots per game
8.3
7.7

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

Corners & discipline

Statistic
M'gladbach
Paderborn
Corners won per game
5.9
4.6
Fouls per game
14.7
10.7

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

Goal rates

Statistic
M'gladbach
Paderborn
Over 2.5 rate
100.0%
42.9%
BTTS rate
71.4%
28.6%
Clean sheets
0.0%
28.6%

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

League averages this season: 3.56 goals per match · Over 2.5 in 71.4% · BTTS in 57.1%. 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.

M'gladbachM'gladbach
M'gladbach: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.71 0.86 7
Goals concededConceded 1.29 1.86 7
Shots 7.0 8.3 7
Shots facedOpp. shots 7.9 9.9 7
Shots on targetOn target 2.4 2.3 7
Shots on target facedOpp. on target 3.4 4.9 7
Corners wonCorners 2.6 3.3 7
Corners concededOpp. corners 1.9 3.7 7
Yellow cardsYellows 1.0 2.3 7
Opponent yellow cardsOpp. yellows 0.6 1.3 7
PaderbornPaderborn
Paderborn: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.57 0.29 7
Goals concededConceded 0.43 0.86 7
Shots 6.1 7.7 7
Shots facedOpp. shots 7.6 9.6 7
Shots on targetOn target 1.6 1.9 7
Shots on target facedOpp. on target 2.1 3.4 7
Corners wonCorners 3.3 1.3 7
Corners concededOpp. corners 2.0 3.7 7
Yellow cardsYellows 0.8 0.5 6
Opponent yellow cardsOpp. yellows 0.3 0.8 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.

M'gladbachM'gladbach (3)
Tim Kleindienst
Watch list
Prediction markets
Model %
Fair odds
Save
To score
29.4%
3.40
1+ shot on target
57.7%
1.73
2+ shots
53.5%
1.87
Per 90 minutes (recent averages)
Shots2.06
On target0.99
Goals0.40
Shuto Machino
Watch list
Prediction markets
Model %
Fair odds
Save
To score
18.1%
5.52
1+ shot on target
37.4%
2.67
2+ shots
32.0%
3.12
Per 90 minutes (recent averages)
Shots2.31
On target0.94
Goals0.40
Robin Hack
Watch list
Prediction markets
Model %
Fair odds
Save
To score
11.3%
8.85
1+ shot on target
45.6%
2.19
2+ shots
45.4%
2.20
Per 90 minutes (recent averages)
Shots2.30
On target0.91
Goals0.18
PaderbornPaderborn (3)
Rayan Philippe
Watch list
Prediction markets
Model %
Fair odds
Save
To score
15.9%
6.29
1+ shot on target
41.9%
2.39
2+ shots
38.9%
2.57
Per 90 minutes (recent averages)
Shots3.02
On target1.22
Goals0.39
Santiago Castañeda
Watch list
Prediction markets
Model %
Fair odds
Save
To score
13.1%
7.63
1+ shot on target
50.8%
1.97
2+ shots
46.5%
2.15
Per 90 minutes (recent averages)
Shots1.57
On target0.71
Goals0.14
Marvin Pieringer
Watch list
Prediction markets
Model %
Fair odds
Save
To score
13.0%
7.69
1+ shot on target
29.7%
3.37
2+ shots
40.8%
2.45
Per 90 minutes (recent averages)
Shots1.91
On target0.48
Goals0.19
All model outcomes · full market spectrum & player markets

Shots

Over 22.5 75.0% Over 24.5 64.1% Over 26.5 52.2% Over 28.5 40.4%
Most: M'gladbach 60.3% Most: Paderborn 34.0%
M'gladbach Over 10.5 79.7%
M'gladbach Over 12.5 65.3%
M'gladbach Over 14.5 49.4% Paderborn Over 10.5 64.4%
Paderborn Over 12.5 46.7%
Paderborn Over 14.5 30.8%

Shots on target

Over 6.5 83.9% Over 7.5 74.8% Over 8.5 64.0% Over 9.5 52.6%
Most: M'gladbach 57.8% Most: Paderborn 31.2%
M'gladbach Over 3.5 77.4%
M'gladbach Over 4.5 62.8%
M'gladbach Over 5.5 47.5% Paderborn Over 3.5 61.4%
Paderborn Over 4.5 43.8%
Paderborn Over 5.5 28.6%

Cards

Over 2.5 72.1% Over 3.5 51.4% Over 4.5 32.0% Over 5.5 17.5%
Most: M'gladbach 38.6% Most: Paderborn 39.9%
M'gladbach Over 1.5 55.3%
M'gladbach Over 2.5 28.3% Paderborn Over 1.5 56.2%
Paderborn Over 2.5 29.3%

M'gladbach: 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
Tim Kleindienst 2.06 0.99 0.4 57.7% 53.5% 29.4%
Shuto Machino 2.31 0.94 0.4 37.4% 32.0% 18.1%
Robin Hack 2.3 0.91 0.18 45.6% 45.4% 11.3%
Wael Mohya 2.21 0.9 0.4 33.5% 26.5% 16.6%
Hugo Bolin 2.67 0.81 0.24 39.3% 49.0% 13.8%

Paderborn: 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
Rayan Philippe 3.02 1.22 0.39 41.9% 38.9% 15.9%
Santiago Castañeda 1.57 0.71 0.14 50.8% 46.5% 13.1%
Marvin Pieringer 1.91 0.48 0.19 29.7% 40.8% 13.0%
Raphael Obermair 1.34 0.45 0 35.0% 36.7% 0.0%
Laurin Curda 1.33 0.15 0 13.5% 36.9% 0.0%

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.

M'gladbach clean sheet 26.3%
Paderborn clean sheet 13.5%
M'gladbach win to nil 22.2%
Paderborn win to nil 9.4%

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 52.8% draw 22.6% away 24.7%
double_chance
1X 75.4% 12 77.4% X2 47.2%
dnb
home 68.2% away 31.8%
btts
yes 63.8% no 36.2%
clean_sheet
home 26.7% away 13.5%
win_to_nil
home 22.6% away 9.4%
winning_margin
home_by_1 21.6% home_by_2 16.1% home_by_3plus 15.1%
away_by_1 14.1% away_by_2 7.0% away_by_3plus 3.6%
correct_score
0-0 4.1% 0-1 4.3% 0-2 3.1%
0-3 1.4% 0-4 0.5% 0-5 0.1%
1-0 6.8% 1-1 10.0% 1-2 6.3%
1-3 2.8% 1-4 0.9% 1-5 0.2%
2-0 7.2% 2-1 9.5% 2-2 6.3%
2-3 2.8% 2-4 0.9% 2-5 0.2%
3-0 4.8% 3-1 6.4% 3-2 4.2%
3-3 1.8% 3-4 0.6% 3-5 0.2%
4-0 2.4% 4-1 3.2% 4-2 2.1%
4-3 0.9% 4-4 0.3% 4-5 0.1%
5-0 1.0% 5-1 1.3% 5-2 0.8%
5-3 0.4% 5-4 0.1% 5-5 0.0%
other 1.9%
likeliest_score
h 100.0% a 100.0% p 10.0%
Goals: totals / handicap / exact calibrated
total
over_0.5 95.9% under_0.5 4.1% over_1.5 84.9%
under_1.5 15.1% over_2.5 64.5% under_2.5 35.5%
over_3.5 42.4% under_3.5 57.6% over_4.5 24.2%
under_4.5 75.8% over_5.5 12.0% under_5.5 88.0%
odd_even
odd 49.0% even 51.0%
team_home
over_0.5 86.5% under_0.5 13.5% over_1.5 59.4%
under_1.5 40.6% over_2.5 32.4% under_2.5 67.6%
team_away
over_0.5 73.3% under_0.5 26.7% over_1.5 38.1%
under_1.5 62.0% over_2.5 14.8% under_2.5 85.2%
most
home 52.8% draw 22.6% away 24.7%
handicap
home_-2.5 15.1% away_+2.5 84.9% home_-1.5 31.2%
away_+1.5 68.8% home_-0.5 52.8% away_+0.5 47.2%
home_+0.5 75.4% away_-0.5 24.7% home_+1.5 89.4%
away_-1.5 10.6% home_+2.5 96.4% away_-2.5 3.6%
total_exact
exact_0 4.1% exact_1 11.0% exact_2 20.4%
exact_3 22.0% exact_4 18.3% exact_5 12.2%
exact_6 6.7% exact_7plus 5.3%
First half range, not a point
1×2
home 26.1% draw 40.4% away 33.5%
total
over_0.5 72.1% under_0.5 27.9% over_1.5 36.4%
under_1.5 63.6% over_2.5 13.7% under_2.5 86.3%
btts
yes 22.0% no 78.0%
total_exact
exact_0 27.9% exact_1 35.6% exact_2 22.7%
exact_3 9.7% exact_4plus 4.1%
Second half range, not a point
1×2
home 41.1% draw 36.2% away 22.8%
total
over_0.5 77.5% under_0.5 22.5% over_1.5 43.9%
under_1.5 56.1% over_2.5 18.9% under_2.5 81.1%
btts
yes 26.5% no 73.5%
Half-time / full-time range, not a point
H/H 21.3% H/D 3.6% H/A 1.2%
D/H 16.6% D/D 14.6% D/A 9.2%
A/H 3.8% A/D 7.1% A/A 22.6%
Corners range, not a point
total
over_7.5 74.6% under_7.5 25.4% over_8.5 63.3%
under_8.5 36.7% over_9.5 51.2% under_9.5 48.8%
over_10.5 39.4% under_10.5 60.6% over_11.5 28.9%
under_11.5 71.1% over_12.5 20.2% under_12.5 79.8%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 76.2% under_3.5 23.8% over_4.5 61.5%
under_4.5 38.5% over_5.5 46.3% under_5.5 53.7%
team_away
over_3.5 59.7% under_3.5 40.3% over_4.5 42.3%
under_4.5 57.7% over_5.5 27.5% under_5.5 72.5%
most
home 57.4% draw 10.4% away 32.2%
handicap
home_-3.5 26.3% away_+3.5 73.7% home_-1.5 46.5%
away_+1.5 53.5% home_-0.5 57.4% away_+0.5 42.6%
home_+0.5 67.8% away_-0.5 32.2% home_+1.5 77.0%
away_-1.5 23.0% home_+3.5 90.1% away_-3.5 9.9%
Shots range, not a point
total
over_22.5 75.0% under_22.5 25.0% over_24.5 64.1%
under_24.5 35.9% over_26.5 52.2% under_26.5 47.8%
over_28.5 40.4% under_28.5 59.6%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 79.7% under_10.5 20.3% over_12.5 65.3%
under_12.5 34.7% over_14.5 49.4% under_14.5 50.6%
team_away
over_10.5 64.4% under_10.5 35.6% over_12.5 46.7%
under_12.5 53.3% over_14.5 30.8% under_14.5 69.2%
most
home 60.3% draw 5.7% away 34.0%
handicap
home_-4.5 36.4% away_+4.5 63.6% home_-2.5 48.3%
away_+2.5 51.7% home_-0.5 60.3% away_+0.5 39.8%
home_+0.5 66.0% away_-0.5 34.0% home_+2.5 76.3%
away_-2.5 23.7% home_+4.5 84.6% away_-4.5 15.4%
Shots on target range, not a point
total
over_6.5 83.9% under_6.5 16.1% over_7.5 74.8%
under_7.5 25.2% over_8.5 64.0% under_8.5 36.0%
over_9.5 52.6% under_9.5 47.4%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 77.4% under_3.5 22.6% over_4.5 62.8%
under_4.5 37.2% over_5.5 47.5% under_5.5 52.5%
team_away
over_3.5 61.4% under_3.5 38.6% over_4.5 43.8%
under_4.5 56.2% over_5.5 28.6% under_5.5 71.4%
most
home 57.8% draw 11.1% away 31.2%
handicap
home_-2.5 34.9% away_+2.5 65.1% home_-0.5 57.8%
away_+0.5 42.2% home_+0.5 68.8% away_-0.5 31.2%
home_+2.5 85.9% away_-2.5 14.1%
Cards calibrated
total
over_2.5 72.1% under_2.5 27.9% over_3.5 51.4%
under_3.5 48.6% over_4.5 32.0% under_4.5 68.0%
over_5.5 17.5% under_5.5 82.5%
odd_even
odd 50.0% even 50.0%
team_home
over_1.5 55.3% under_1.5 44.8% over_2.5 28.3%
under_2.5 71.7%
team_away
over_1.5 56.2% under_1.5 43.8% over_2.5 29.3%
under_2.5 70.7%
most
home 38.6% draw 21.5% away 39.9%
handicap
home_-1.5 20.4% away_+1.5 79.6% home_-0.5 38.6%
away_+0.5 61.4% home_+0.5 60.1% away_-0.5 39.9%
home_+1.5 78.5% away_-1.5 21.5%
Fouls calibrated
total
over_20.5 55.4% under_20.5 44.6% over_22.5 43.0%
under_22.5 57.0% over_24.5 31.7% under_24.5 68.4%
odd_even
odd 50.0% even 50.0%
team_home
over_9.5 59.6% under_9.5 40.4% over_11.5 42.1%
under_11.5 58.0% over_13.5 27.1% under_13.5 72.9%
team_away
over_9.5 57.6% under_9.5 42.4% over_11.5 39.9%
under_11.5 60.1% over_13.5 25.3% under_13.5 74.7%
most
home 48.3% draw 6.4% away 45.3%
handicap
home_-3.5 30.0% away_+3.5 70.0% home_-0.5 48.3%
away_+0.5 51.7% home_+2.5 67.0% away_-2.5 33.0%
Red card range, not a point
any
yes 7.4% no 92.6%
home
yes 5.0% no 95.1%
away
yes 2.6% no 97.4%
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 47.7% (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