Dortmund vs Paderborn prediction & probabilities (2026-09-12)

Dortmund vs Paderborn: model prediction

Bundesliga
Dortmund

LWWWW

Sat, 12 Sep 202614:30UK21°C · Cloudy
Paderborn

LLLDL

Model’s top convictions

90%

Dortmund or draw

87%

Over 1.5 goals

67%

Over 2.5 goals

Fairly pricedValue_gap +0.025 <= 0.03.

Prediction summary

Top 3 convictions

Model’s best bet
DortmundWin probability
73.9%
Top 3 convictions

Dortmund or draw90.3%High probabilityPays @ 1.11
Over 1.5 goals86.5%High probabilityPays @ 1.16
Over 2.5 goals67.4%Strong chancePays @ 1.48

Model read

The numbers leave little room for romance here: Dortmund at 74% against Paderborn, Bundesliga, 12 September 2026. The numbers that frame it: • The market is more convinced than we are, pricing Dortmund at 78%. Caution noted. • The goals profile is lively: Over 2.5 sits at 67% with both teams to score at 56%. • Form guide over the last six: Dortmund W5 D0 L1, Paderborn W0 D1 L5. • Head to head, the last 4 meetings gave 2 wins for Dortmund, 2 draws and 0 for Paderborn, averaging 5.0 goals a game. Serhou Guirassy drives the home shot volume, 1.4 on target per 90. As a promoted side, Paderborn carry exactly the structural uncertainty our priors were built for. Verdict: no bet. Value_gap +0.025 <= 0.03.

Value & higher-risk angles

High risk

Over 10.5 corners40.6%@ 2.46
Over 11.5 corners31.3%@ 3.19
Medium risk

Over 8.5 corners61.5%@ 1.63
Both teams to score56.0%@ 1.79
Over 9.5 corners50.9%@ 1.96
Random finds

2-0 correct score10.0%@ 9.96
2-1 correct score9.3%@ 10.75
3-0 correct score8.5%@ 11.74

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

Model vs market

Dortmund

73.9%-3.7%

Draw

16.3%+2.5%

Paderborn

9.8%+1.2%

ModelMarket

value_gap +0.025 <= 0.03

Goals markets

★ StrongestOver 1.586.5%

High probability

Over 2.567.4%

Strong chance

BTTS · Yes56.0%

Good chance

Corners markets

Over 8.561.5%

Strong chance

Over 9.550.9%

Good chance

Over 10.540.6%

Toss-up

Over 11.531.3%

Toss-up

Most cornersDortmund64.2%Paderborn26.0%

Shots markets

Over 22.569.9%

Strong chance

Over 24.558.1%

Good chance

Over 26.546.0%

Reasonable chance

Over 28.534.4%

Toss-up

Recent shot volume

Dortmund14.0 taken10.5 faced
Paderborn13.5 taken16.0 faced

Shots taken and faced per game over each side’s last 6 matches, from real match data.

First half / second half shots

Dortmund (2 games)

9.0 / 6.5

Paderborn (2 games)

5.0 / 7.0

Shots taken before and after half-time, per game, over the games in brackets. The bar is the share taken in the first half. This is Understat shot data with the half-time split verified against the half-time score, counted separately from the match shot totals above, so the two can differ. A match where the split could not be verified is left out rather than guessed.

Totals line guide

0.5·1.586.5%2.567.4%3.5·4.5·
Recommended focusOver 2.567.4%

Discipline: Fairly priced. Value_gap +0.025 <= 0.03.

Form & head-to-head

DortmundLWWWW
PaderbornLLLDL

Last 4 meetings: Dortmund 2 · 2 draws · Paderborn 0 · 5.0 goals/game.

2020-05-31Paderborn 1-6 Dortmund
2019-11-22Dortmund 3-3 Paderborn
2015-04-18Dortmund 3-0 Paderborn
2014-11-22Paderborn 2-2 Dortmund

Season stats

Season 2026/27, real results only

DortmundPaderborn
League position#3 of 18#12 of 18
Record W-D-L2-0-00-1-1
Current streakW2L1
Record, home vs away1-0-00-1-0
Red cards this season10

Full league tables & stats →

Players to watch

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

Serhou GuirassyDortmund · key player
To score46.0%

@ 2.17

1+ on target71.1%

@ 1.41

2+ shots76.3%

@ 1.31

Shots/90 3.14SoT/90 1.41Goals/90 0.7
Rayan PhilippePaderborn · key player
To score15.3%

@ 6.54

1+ on target43.3%

@ 2.31

2+ shots39.7%

@ 2.52

Shots/90 2.8SoT/90 1.16Goals/90 0.34
Fabio SilvaDortmund · in form
To score21.7%

@ 4.61

1+ on target45.3%

@ 2.21

2+ shots40.0%

@ 2.50

Shots/90 2.42SoT/90 1.06Goals/90 0.43
Marvin PieringerPaderborn · in form
To score17.5%

@ 5.71

1+ on target39.3%

@ 2.54

2+ shots47.7%

@ 2.10

Shots/90 2.09SoT/90 0.65Goals/90 0.25
Maximilian BeierDortmund · in form
To score24.3%

@ 4.12

1+ on target41.9%

@ 2.39

2+ shots48.2%

@ 2.07

Shots/90 2.39SoT/90 0.8Goals/90 0.41

Bookmaker odds

Real bookmaker price (Bet365) next to our model fair price. Bookmaker prices include the bookmaker margin, so our margin-free fair price usually looks longer. We do not claim to beat the closing market.

BookmakerOur fair
Dortmund win1.251.35
Draw6.506.12
Paderborn win10.0010.26
Over 2.5 goals1.361.48
Under 2.5 goals3.203.07

Model fair odds

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

Match result

Dortmund win1.39
Draw5.95
Paderborn win8.88
Both teams to score1.79

Goals

Over 1.5 goals1.16
Over 2.5 goals1.48
Over 3.5 goals2.19
Over 4.5 goals3.71
Dortmund most1.39
Paderborn most8.88

Corners

Over 7.5 corners1.32
Over 8.5 corners1.55
Over 9.5 corners1.91
Over 10.5 corners2.46
Dortmund most1.55
Paderborn most3.84

Cards

Over 2.5 cards1.41
Over 3.5 cards2.00
Over 4.5 cards3.26
Over 5.5 cards6.03
Dortmund most2.59
Paderborn most2.52

Shots on target

Over 6.5 SoT1.27
Over 7.5 SoT1.47
Over 8.5 SoT1.77
Over 9.5 SoT2.24
Dortmund most1.61
Paderborn most3.72

Shots

Over 22.5 shots1.43
Over 24.5 shots1.72
Over 26.5 shots2.17
Over 28.5 shots2.91
Dortmund most1.49
Paderborn most3.65

Fouls

Over 20.5 fouls1.92
Over 22.5 fouls2.51
Over 24.5 fouls3.44
All model outcomes · full market spectrum & player markets

Shots

Over 22.5 69.9% Over 24.5 58.1% Over 26.5 46.0% Over 28.5 34.4%
Most: Dortmund 67.2% Most: Paderborn 27.4%
Dortmund Over 13.2 57.9% Paderborn Over 13.2 29.0%

Shots on target

Over 6.5 78.8% Over 7.5 68.2% Over 8.5 56.5% Over 9.5 44.7%
Most: Dortmund 62.2% Most: Paderborn 26.9%
Dortmund Over 4.2 60.5% Paderborn Over 4.2 34.6%

Cards

Over 2.5 71.0% Over 3.5 50.0% Over 4.5 30.7%
Most: Dortmund 38.6% Most: Paderborn 39.7%
Dortmund Over 1.8 54.3% Paderborn Over 1.8 55.2%

Dortmund: players to watch (recent-form projection)

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

Player Shots/90 SoT/90 Goals/90 1+ SoT 2+ shots To score
Serhou Guirassy 3.14 1.41 0.7 71.1% 76.3% 46.0%
Fabio Silva 2.42 1.06 0.43 45.3% 40.0% 21.7%
Maximilian Beier 2.39 0.8 0.41 41.9% 48.2% 24.3%
Ethan Nwaneri 2.45 0.76 0.38 25.0% 23.7% 13.4%
Felix Nmecha 1.27 0.33 0.14 22.5% 25.8% 10.3%

Paderborn: players to watch (recent-form projection)

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

Player Shots/90 SoT/90 Goals/90 1+ SoT 2+ shots To score
Rayan Philippe 2.8 1.16 0.34 43.3% 39.7% 15.3%
Marvin Pieringer 2.09 0.65 0.25 39.3% 47.7% 17.5%

Clean sheet & win to nil

Dortmund clean sheet 37.8%
Paderborn clean sheet 7.9%
Dortmund win to nil 34.3%
Paderborn win to nil 4.4%

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

Full market spectrum · model probabilities

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

Match result & goals calibrated
1×2
home 71.9% draw 16.8% away 11.3%
double_chance
1X 88.7% 12 83.2% X2 28.1%
dnb
home 86.5% away 13.5%
btts
yes 56.0% no 44.0%
clean_sheet
home 39.6% away 7.9%
win_to_nil
home 36.1% away 4.4%
winning_margin
home_by_1 21.3% home_by_2 20.7% home_by_3plus 30.0%
away_by_1 7.6% away_by_2 2.8% away_by_3plus 0.9%
correct_score
0-0 3.5% 0-1 2.5% 0-2 1.4%
0-3 0.4% 0-4 0.1% 0-5 0.0%
1-0 7.5% 1-1 7.7% 1-2 3.4%
1-3 1.1% 1-4 0.3% 1-5 0.1%
2-0 10.0% 2-1 9.3% 2-2 4.3%
2-3 1.3% 2-4 0.3% 2-5 0.1%
3-0 8.5% 3-1 7.9% 3-2 3.7%
3-3 1.1% 3-4 0.3% 3-5 0.1%
4-0 5.4% 4-1 5.0% 4-2 2.3%
4-3 0.7% 4-4 0.2% 4-5 0.0%
5-0 2.8% 5-1 2.6% 5-2 1.2%
5-3 0.4% 5-4 0.1% 5-5 0.0%
other 4.6%
likeliest_score
h 200.0% a 0.0% p 10.0%
Goals: totals / handicap / exact calibrated
total
over_0.5 96.5% under_0.5 3.5% over_1.5 86.5%
under_1.5 13.5% over_2.5 67.4% under_2.5 32.6%
over_3.5 45.7% under_3.5 54.3% over_4.5 26.9%
under_4.5 73.1% over_5.5 13.9% under_5.5 86.1%
odd_even
odd 49.2% even 50.8%
team_home
over_0.5 92.1% under_0.5 7.9% over_1.5 72.1%
under_1.5 27.9% over_2.5 46.7% under_2.5 53.3%
team_away
over_0.5 60.4% under_0.5 39.6% over_1.5 23.8%
under_1.5 76.2% over_2.5 6.8% under_2.5 93.2%
most
home 71.9% draw 16.8% away 11.3%
handicap
home_-2.5 30.0% away_+2.5 70.0% home_-1.5 50.6%
away_+1.5 49.4% home_-0.5 71.9% away_+0.5 28.1%
home_+0.5 88.7% away_-0.5 11.3% home_+1.5 96.3%
away_-1.5 3.7% home_+2.5 99.1% away_-2.5 0.9%
total_exact
exact_0 3.5% exact_1 10.1% exact_2 19.1%
exact_3 21.7% exact_4 18.8% exact_5 13.1%
exact_6 7.6% exact_7plus 6.3%
First half range, not a point
1×2
home 49.5% draw 37.7% away 12.8%
total
over_0.5 71.7% under_0.5 28.3% over_1.5 36.0%
under_1.5 64.0% over_2.5 13.4% under_2.5 86.6%
btts
yes 17.1% no 82.9%
total_exact
exact_0 28.3% exact_1 35.7% exact_2 22.5%
exact_3 9.5% exact_4plus 3.9%
Second half range, not a point
1×2
home 44.7% draw 36.3% away 19.0%
total
over_0.5 76.1% under_0.5 23.9% over_1.5 41.9%
under_1.5 58.1% over_2.5 17.5% under_2.5 82.6%
btts
yes 23.8% no 76.2%
Half-time / full-time range, not a point
H/H 43.1% H/D 5.1% H/A 1.3%
D/H 16.9% D/D 13.7% D/A 7.1%
A/H 1.9% A/D 3.3% A/A 7.6%
Corners range, not a point
total
over_7.5 75.5% under_7.5 24.5% over_8.5 64.4%
under_8.5 35.7% over_9.5 52.4% under_9.5 47.6%
over_10.5 40.6% under_10.5 59.4% over_11.5 30.0%
under_11.5 70.0% over_12.5 21.2% under_12.5 78.8%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 80.1% under_3.5 19.9% over_4.5 66.7%
under_4.5 33.3% over_5.5 52.1% under_5.5 47.9%
team_away
over_3.5 54.6% under_3.5 45.4% over_4.5 37.1%
under_4.5 62.9% over_5.5 23.1% under_5.5 76.9%
most
home 64.4% draw 9.6% away 26.0%
handicap
home_-3.5 32.9% away_+3.5 67.1% home_-1.5 53.8%
away_+1.5 46.2% home_-0.5 64.4% away_+0.5 35.6%
home_+0.5 74.0% away_-0.5 26.0% home_+1.5 82.1%
away_-1.5 18.0% home_+3.5 92.8% away_-3.5 7.2%
Shots range, not a point
total
over_22.5 69.9% under_22.5 30.2% over_24.5 58.1%
under_24.5 41.9% over_26.5 46.0% under_26.5 54.0%
over_28.5 34.4% under_28.5 65.6%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 79.9% under_10.5 20.1% over_12.5 65.8%
under_12.5 34.3% over_14.5 50.0% under_14.5 50.0%
team_away
over_10.5 54.7% under_10.5 45.3% over_12.5 36.8%
under_12.5 63.2% over_14.5 22.3% under_14.5 77.7%
most
home 67.2% draw 5.4% away 27.4%
handicap
home_-4.5 43.2% away_+4.5 56.8% home_-2.5 55.4%
away_+2.5 44.6% home_-0.5 67.2% away_+0.5 32.8%
home_+0.5 72.6% away_-0.5 27.4% home_+2.5 81.8%
away_-2.5 18.2% home_+4.5 88.8% away_-4.5 11.2%
Shots on target range, not a point
total
over_6.5 78.8% under_6.5 21.2% over_7.5 68.2%
under_7.5 31.8% over_8.5 56.5% under_8.5 43.5%
over_9.5 44.7% under_9.5 55.3%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 75.5% under_3.5 24.5% over_4.5 60.5%
under_4.5 39.5% over_5.5 45.1% under_5.5 54.9%
team_away
over_3.5 52.3% under_3.5 47.7% over_4.5 34.6%
under_4.5 65.4% over_5.5 20.8% under_5.5 79.2%
most
home 62.2% draw 11.0% away 26.9%
handicap
home_-2.5 38.3% away_+2.5 61.7% home_-0.5 62.2%
away_+0.5 37.8% home_+0.5 73.1% away_-0.5 26.9%
home_+2.5 89.1% away_-2.5 11.0%
Cards calibrated
total
over_2.5 71.0% under_2.5 29.0% over_3.5 50.0%
under_3.5 50.0% over_4.5 30.7% under_4.5 69.3%
over_5.5 16.6% under_5.5 83.4%
odd_even
odd 50.0% even 50.0%
team_home
over_1.5 54.4% under_1.5 45.7% over_2.5 27.5%
under_2.5 72.5%
team_away
over_1.5 55.2% under_1.5 44.8% over_2.5 28.3%
under_2.5 71.7%
most
home 38.6% draw 21.7% away 39.7%
handicap
home_-1.5 20.3% away_+1.5 79.7% home_-0.5 38.6%
away_+0.5 61.4% home_+0.5 60.3% away_-0.5 39.7%
home_+1.5 78.9% away_-1.5 21.1%
Fouls calibrated
total
over_20.5 52.0% under_20.5 48.0% over_22.5 39.9%
under_22.5 60.1% over_24.5 29.1% under_24.5 70.9%
odd_even
odd 50.0% even 50.0%
team_home
over_9.5 54.1% under_9.5 45.9% over_11.5 36.9%
under_11.5 63.1% over_13.5 23.1% under_13.5 76.9%
team_away
over_9.5 57.8% under_9.5 42.2% over_11.5 40.7%
under_11.5 59.3% over_13.5 26.3% under_13.5 73.7%
most
home 44.2% draw 6.4% away 49.5%
handicap
home_-3.5 26.6% away_+3.5 73.4% home_-0.5 44.2%
away_+0.5 55.8% home_+2.5 63.0% away_-2.5 37.0%
Red card range, not a point
any
yes 12.1% no 87.9%
home
yes 6.9% no 93.1%
away
yes 5.5% no 94.5%

How this works (honestly)

We are transparent about our method, our limits and how we measure performance.

What we use

Results, odds & closing prices, xG, shots, lineups, referee and schedule load.

Our method

Dixon-Coles + an xG strength model + champion/challenger selection + probability calibration + a trust gate.

What we don’t do

We do not beat the sharp market. The value is honest probabilities, No-bet calls and CLV.

Performance snapshot

Top-pick hit rate 47.7% (reliability, not edge). Calibration error 0.0095 (55261 matches).

More: Dortmund predictions · Paderborn predictions · Bundesliga

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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