Dortmund vs Werder Bremen prediction & probabilities (2026-10-09)

Dortmund vs Werder Bremen: model prediction

Bundesliga
Dortmund

WWWWW

Fri, 9 Oct 20269/1001:00UK
Werder Bremen

LLLWD

Model’s top convictions

89%

Dortmund or draw

83%

Over 1.5 goals

63%

Over 8.5 corners

Our priceNo bookmaker price published for this match yet.

Model pick

Dortmund72.2%

Win probability · fair 1.39

Top signals

Dortmund or drawVery likely89.1%Fair 1.12
Over 1.5 goalsVery likely82.5%Fair 1.21
Over 8.5 cornersLikely63.1%Fair 1.58

Model read

Dortmund go into this Bundesliga meeting with Werder Bremen on 9 October 2026 as clear favourites; our model has them at 72%. The numbers that frame it: • Everything in the shot data points to goals, 61% for Over 2.5 with both teams to score at 54%. • Serhou Guirassy drives the home shot volume, 1.4 on target per 90. • Recent form reads W5 D0 L1 for Dortmund against W1 D1 L4 for Werder Bremen. History adds colour: across the last 5 meetings it is 3 wins for Dortmund, 2 draws and 0 for Werder Bremen at 2.4 goals per match. The engine passes on this one (no bookmaker price published for this match yet).

Value & higher-risk angles

Outcomes the model rates higher than the obvious price suggests, plus a few long-shot scorelines that are simply possible. These are the least likely calls on the page, so treat them as such. They are not tips, and we do not beat the sharp bookmakers.

High risk

Over 10.5 corners42.2%@ 2.37
Over 11.5 corners32.7%@ 3.06
Medium risk

Over 2.5 goals60.8%@ 1.64
Both teams to score53.6%@ 1.87
Over 9.5 corners52.5%@ 1.90
Random finds

2-0 correct score10.8%@ 9.29
2-1 correct score9.8%@ 10.25
1-0 correct score9.2%@ 10.86

Model vs market

Dortmund

72.2%

Draw

17.0%

Werder Bremen

10.9%

Model

no bookmaker price published for this match yet

Goals

Over 1.5Strongest read · Very likely82.5%Fair 1.21
Over 2.5Likely60.8%Fair 1.64
BTTS · YesClose call53.6%Fair 1.87

Corners

Over 8.5 cornersLikely63.1%Fair 1.58
Over 9.5 cornersClose call52.5%Fair 1.90
Over 10.5 cornersUnlikely42.2%Fair 2.37
Over 11.5 cornersUnlikely32.7%Fair 3.06
Most cornersDortmund63.6%Werder Bremen26.5%

Shots

Over 22.5 shotsLikely69.9%Fair 1.43
Over 24.5 shotsClose call58.2%Fair 1.72
Over 26.5 shotsClose call46.0%Fair 2.18
Over 28.5 shotsUnlikely34.3%Fair 2.91

Recent shot volume

Dortmund13.5 taken11.0 faced
Werder Bremen11.7 taken16.5 faced

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

First half / second half shots

Shots before and after the break, per game, across the number of games in brackets. The bar shows how much of the shooting happens in the first half. These come from a different source than the match shot totals above, and we only count a match when the shots before the break add up to the actual half-time score. A match where they did not is left out rather than guessed at, which is why the two sets of numbers can differ.

Dortmund (3 games)

7.3 / 7.7

Werder Bremen (3 games)

3.3 / 8.3

Totals line guide

0.5·1.582.5%2.560.8%3.5·4.5·
Recommended focusOver 2.560.8%

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

Form & head-to-head

DortmundWWWWW
Werder BremenLLLWD

Last 5 meetings: Dortmund 3 · 2 draws · Werder Bremen 0 · 2.4 goals/game.

2026-05-16Werder Bremen 0-2 Dortmund
2026-01-13Dortmund 3-0 Werder Bremen
2025-01-25Dortmund 2-2 Werder Bremen
2024-08-31Werder Bremen 0-0 Dortmund
2024-03-09Werder Bremen 1-2 Dortmund

Season stats

Season 2026/27, real results only

DortmundWerder Bremen
League position#1 of 18#6 of 18
Record W-D-L4-0-02-1-1
Current streakW4W1
Record, home vs away2-0-00-1-1
Red cards this season10

League averages this season: 3.97 goals per match · Over 2.5 in 82% · BTTS in 62%. 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 score45.6%2.19
1+ on target71.5%1.40
2+ shots76.1%1.31
Shots/90 3.12SoT/90 1.42Goals/90 0.69
Niclas FüllkrugWerder Bremen · key player
To score13.7%7.30
1+ on target36.0%2.78
2+ shots28.7%3.48
Shots/90 2.17SoT/90 0.91Goals/90 0.3
Fabio SilvaDortmund · in form
To score22.6%4.42
1+ on target44.7%2.24
2+ shots39.7%2.52
Shots/90 2.4SoT/90 1.04Goals/90 0.45
ChukiWerder Bremen · in form
To score10.4%9.62
1+ on target42.7%2.34
2+ shots36.5%2.74
Shots/90 2.09SoT/90 0.91Goals/90 0.18
Maximilian BeierDortmund · in form
To score25.4%3.94
1+ on target42.4%2.36
2+ shots48.4%2.07
Shots/90 2.39SoT/90 0.81Goals/90 0.43
Justin NjinmahWerder Bremen · in form
To score11.4%8.77
1+ on target39.0%2.56
2+ shots47.9%2.09
Shots/90 2.94SoT/90 0.9Goals/90 0.22

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 win1.49
Draw5.12
Werder Bremen win7.39
Both teams to score1.87

Goals

Over 1.5 goals1.21
Over 2.5 goals1.65
Over 3.5 goals2.60
Over 4.5 goals4.78
Dortmund most1.49
Werder Bremen most7.39

Corners

Over 7.5 corners1.30
Over 8.5 corners1.51
Over 9.5 corners1.85
Over 10.5 corners2.36
Dortmund most1.57
Werder Bremen most3.77

Cards

Over 2.5 cards1.47
Over 3.5 cards2.14
Over 4.5 cards3.60
Over 5.5 cards6.93
Dortmund most2.82
Werder Bremen most2.36

Shots on target

Over 6.5 SoT1.26
Over 7.5 SoT1.45
Over 8.5 SoT1.74
Over 9.5 SoT2.19
Dortmund most1.54
Werder Bremen most4.08

Shots

Over 22.5 shots1.43
Over 24.5 shots1.72
Over 26.5 shots2.18
Over 28.5 shots2.91
Dortmund most1.48
Werder Bremen most3.68

Fouls

Over 20.5 fouls1.99
Over 22.5 fouls2.62
Over 24.5 fouls3.63
All model outcomes · full market spectrum & player markets

Shots

Over 22.5 69.9% Over 24.5 58.2% Over 26.5 46.0% Over 28.5 34.3%
Most: Dortmund 67.4% Most: Werder Bremen 27.2%
Dortmund Over 13.2 58.1% Werder Bremen Over 13.2 28.8%

Shots on target

Over 6.5 79.4% Over 7.5 68.9% Over 8.5 57.3% Over 9.5 45.6%
Most: Dortmund 64.9% Most: Werder Bremen 24.5%
Dortmund Over 4.2 62.8% Werder Bremen Over 4.2 32.9%

Cards

Over 2.5 68.2% Over 3.5 46.7% Over 4.5 27.7%
Most: Dortmund 35.5% Most: Werder Bremen 42.4%
Dortmund Over 1.8 49.8% Werder Bremen Over 1.8 55.0%

Dortmund: 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
Serhou Guirassy 3.12 1.42 0.69 71.5% 76.1% 45.6%
Fabio Silva 2.4 1.04 0.45 44.7% 39.7% 22.6%
Maximilian Beier 2.39 0.81 0.43 42.4% 48.4% 25.4%
Ethan Nwaneri 2.42 0.75 0.35 26.1% 25.5% 13.2%
Felix Nmecha 1.33 0.37 0.19 24.6% 27.1% 13.5%

Werder Bremen: players to watch (recent-form projection)

Each number is the player’s recent rate per 90 minutes, scaled to how long we expect them to play. Only players in this season’s squad appear. It is a projection from recent form, not a confirmed lineup: nobody has announced the team yet.

Player Shots/90 SoT/90 Goals/90 1+ SoT 2+ shots To score
Niclas Füllkrug 2.17 0.91 0.3 36.0% 28.7% 13.7%
Chuki 2.09 0.91 0.18 42.7% 36.5% 10.4%
Justin Njinmah 2.94 0.9 0.22 39.0% 47.9% 11.4%
Marco Grüll 1.98 0.67 0.28 33.4% 33.8% 15.6%
Mitchell Weiser 1.34 0.51 0.21 38.2% 36.0% 18.0%

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.

Dortmund clean sheet 39.3%
Werder Bremen clean sheet 10.8%
Dortmund win to nil 34.5%
Werder Bremen win to nil 6.0%

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.

Match result & goals calibrated
1×2
home 66.9% draw 19.5% away 13.5%
double_chance
1X 86.5% 12 80.5% X2 33.1%
dnb
home 83.2% away 16.8%
btts
yes 53.6% no 46.4%
clean_sheet
home 40.4% away 10.8%
win_to_nil
home 35.6% away 6.0%
winning_margin
home_by_1 22.9% home_by_2 20.1% home_by_3plus 23.9%
away_by_1 9.1% away_by_2 3.4% away_by_3plus 1.1%
correct_score
0-0 4.8% 0-1 3.5% 0-2 1.8%
0-3 0.5% 0-4 0.1% 0-5 0.0%
1-0 9.2% 1-1 9.2% 1-2 4.0%
1-3 1.2% 1-4 0.3% 1-5 0.1%
2-0 10.8% 2-1 9.8% 2-2 4.4%
2-3 1.3% 2-4 0.3% 2-5 0.1%
3-0 8.0% 3-1 7.3% 3-2 3.3%
3-3 1.0% 3-4 0.2% 3-5 0.0%
4-0 4.5% 4-1 4.1% 4-2 1.8%
4-3 0.5% 4-4 0.1% 4-5 0.0%
5-0 2.0% 5-1 1.8% 5-2 0.8%
5-3 0.3% 5-4 0.1% 5-5 0.0%
other 2.7%
likeliest_score
h 200.0% a 0.0% p 10.8%
Goals: totals / handicap / exact calibrated
total
over_0.5 95.2% under_0.5 4.8% over_1.5 82.5%
under_1.5 17.5% over_2.5 60.8% under_2.5 39.2%
over_3.5 38.5% under_3.5 61.5% over_4.5 20.9%
under_4.5 79.1% over_5.5 9.9% under_5.5 90.1%
odd_even
odd 49.0% even 51.0%
team_home
over_0.5 89.2% under_0.5 10.8% over_1.5 65.3%
under_1.5 34.7% over_2.5 38.6% under_2.5 61.4%
team_away
over_0.5 59.6% under_0.5 40.4% over_1.5 23.0%
under_1.5 77.0% over_2.5 6.4% under_2.5 93.6%
most
home 66.9% draw 19.5% away 13.5%
handicap
home_-2.5 23.9% away_+2.5 76.1% home_-1.5 44.1%
away_+1.5 55.9% home_-0.5 66.9% away_+0.5 33.1%
home_+0.5 86.5% away_-0.5 13.5% home_+1.5 95.5%
away_-1.5 4.5% home_+2.5 98.9% away_-2.5 1.1%
total_exact
exact_0 4.8% exact_1 12.7% exact_2 21.8%
exact_3 22.3% exact_4 17.5% exact_5 11.0%
exact_6 5.8% exact_7plus 4.1%
First half range, not a point
1×2
home 56.9% draw 33.9% away 9.3%
total
over_0.5 74.4% under_0.5 25.6% over_1.5 39.5%
under_1.5 60.5% over_2.5 15.7% under_2.5 84.3%
btts
yes 15.9% no 84.1%
total_exact
exact_0 25.6% exact_1 34.9% exact_2 23.8%
exact_3 10.8% exact_4plus 5.0%
Second half range, not a point
1×2
home 54.0% draw 29.2% away 16.7%
total
over_0.5 84.7% under_0.5 15.4% over_1.5 55.9%
under_1.5 44.1% over_2.5 28.9% under_2.5 71.1%
btts
yes 32.0% no 68.0%
Half-time / full-time range, not a point
H/H 50.7% H/D 4.7% H/A 1.4%
D/H 18.3% D/D 9.9% D/A 5.7%
A/H 2.2% A/D 2.5% A/A 4.6%
Corners range, not a point
total
over_7.5 76.9% under_7.5 23.2% over_8.5 66.0%
under_8.5 34.0% over_9.5 54.2% under_9.5 45.8%
over_10.5 42.4% under_10.5 57.6% over_11.5 31.7%
under_11.5 68.4% over_12.5 22.5% under_12.5 77.5%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 80.6% under_3.5 19.4% over_4.5 67.4%
under_4.5 32.6% over_5.5 52.8% under_5.5 47.2%
team_away
over_3.5 56.4% under_3.5 43.6% over_4.5 39.0%
under_4.5 61.1% over_5.5 24.6% under_5.5 75.4%
most
home 63.8% draw 9.6% away 26.6%
handicap
home_-3.5 32.5% away_+3.5 67.6% home_-1.5 53.2%
away_+1.5 46.8% home_-0.5 63.8% away_+0.5 36.2%
home_+0.5 73.4% away_-0.5 26.6% home_+1.5 81.6%
away_-1.5 18.4% home_+3.5 92.5% away_-3.5 7.5%
Shots range, not a point
total
over_22.5 69.9% under_22.5 30.1% over_24.5 58.2%
under_24.5 41.8% over_26.5 46.0% under_26.5 54.0%
over_28.5 34.3% under_28.5 65.7%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 80.1% under_10.5 19.9% over_12.5 66.0%
under_12.5 34.1% over_14.5 50.1% under_14.5 49.9%
team_away
over_10.5 54.6% under_10.5 45.4% over_12.5 36.6%
under_12.5 63.4% over_14.5 22.1% under_14.5 77.9%
most
home 67.5% draw 5.4% away 27.2%
handicap
home_-4.5 43.3% away_+4.5 56.7% home_-2.5 55.7%
away_+2.5 44.4% home_-0.5 67.5% away_+0.5 32.6%
home_+0.5 72.8% away_-0.5 27.2% home_+2.5 82.0%
away_-2.5 18.0% home_+4.5 89.0% away_-4.5 11.0%
Shots on target range, not a point
total
over_6.5 79.4% under_6.5 20.6% over_7.5 69.0%
under_7.5 31.1% over_8.5 57.3% under_8.5 42.7%
over_9.5 45.6% under_9.5 54.4%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 77.3% under_3.5 22.7% over_4.5 62.8%
under_4.5 37.2% over_5.5 47.6% under_5.5 52.4%
team_away
over_3.5 50.6% under_3.5 49.4% over_4.5 32.9%
under_4.5 67.1% over_5.5 19.5% under_5.5 80.5%
most
home 64.9% draw 10.6% away 24.5%
handicap
home_-2.5 41.2% away_+2.5 58.8% home_-0.5 64.9%
away_+0.5 35.1% home_+0.5 75.5% away_-0.5 24.5%
home_+2.5 90.4% away_-2.5 9.6%
Cards calibrated
total
over_2.5 68.2% under_2.5 31.8% over_3.5 46.7%
under_3.5 53.3% over_4.5 27.7% under_4.5 72.3%
over_5.5 14.4% under_5.5 85.6%
odd_even
odd 50.0% even 50.0%
team_home
over_1.5 49.8% under_1.5 50.2% over_2.5 23.6%
under_2.5 76.4%
team_away
over_1.5 55.0% under_1.5 45.0% over_2.5 28.1%
under_2.5 71.9%
most
home 35.4% draw 22.2% away 42.4%
handicap
home_-1.5 17.7% away_+1.5 82.3% home_-0.5 35.4%
away_+0.5 64.6% home_+0.5 57.6% away_-0.5 42.4%
home_+1.5 77.2% away_-1.5 22.8%
Fouls calibrated
total
over_20.5 50.3% under_20.5 49.7% over_22.5 38.2%
under_22.5 61.8% over_24.5 27.6% under_24.5 72.5%
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 23.0% under_13.5 77.0%
team_away
over_9.5 55.5% under_9.5 44.5% over_11.5 38.3%
under_11.5 61.7% over_13.5 24.2% under_13.5 75.8%
most
home 45.8% draw 6.4% away 47.8%
handicap
home_-3.5 27.8% away_+3.5 72.2% home_-0.5 45.8%
away_+0.5 54.3% home_+2.5 64.7% away_-2.5 35.3%
Red card range, not a point
any
yes 22.7% no 77.4%
home
yes 14.2% no 85.8%
away
yes 9.9% no 90.1%

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 (55416 matches).

More: Dortmund predictions · Werder Bremen 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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