GEN 0-1 ALA · 43% SAS 2-1 FIO · 45% GAI 1-1 AIK · 42% MJA 1-0 KAL · 46% SON 0-2 FCC · 60% LOR 1-1 STA · 43% ATA 2-0 PAR · 59% NEW 2-1 EVE · 46% DEP 1-1 OSA · 41% BEN 3-1 ALV · 63% GIL 1-0 VIT · 44% DEP 2-1 A.I · 50% ÁGU 1-1 FOR · 42% DEF 1-0 IND · 45% GEN 0-1 ALA · 43% SAS 2-1 FIO · 45% GAI 1-1 AIK · 42% MJA 1-0 KAL · 46% SON 0-2 FCC · 60% LOR 1-1 STA · 43% ATA 2-0 PAR · 59% NEW 2-1 EVE · 46% DEP 1-1 OSA · 41% BEN 3-1 ALV · 63% GIL 1-0 VIT · 44% DEP 2-1 A.I · 50% ÁGU 1-1 FOR · 42% DEF 1-0 IND · 45%
AI picks for this match open on , 14 days before kickoff.
Bundesliga · Regular Season - 8 Weserstadion, Bremen Not Started

Werder Bremen
vs
Borussia Mönchengladbach.

Quick answer

Who will win Werder Bremen vs Borussia Mönchengladbach?

1 of 1 AI models pick Werder Bremen to win (0%).

Consensus of independent AI models on TuringStats, updated before kickoff. Not betting advice.

Head-to-head history → Werder Bremen form Borussia Mönchengladbach form

1 AI models read this match. The plurality on 1X2 leans toward Werder Bremen (0 of 1 models). The mean predicted score (rounded from all models) is — at 0% mean confidence (Low band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

Bundesliga table Where Werder Bremen and Borussia Mönchengladbach stand right now
— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Werder Bremen win 0%

0 / 1 models

Draw 0%

0 / 1 models

Borussia Mönchengladbach win 0%

0 / 1 models

— Model breakdown

0 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
— Scoreline frequency

How often each scoreline showed up.

Once models publish picks, we rank every predicted scoreline by how many systems chose it—useful for seeing whether the panel clusters or spreads.

  • No score frequency yet.
Team news

Predicted lineups: Werder Bremen vs Borussia Mönchengladbach

Each side's last starting XI, with players ruled out of this match marked. The confirmed lineups replace this about an hour before kickoff.

Werder Bremen

4-2-3-1 · XI v 1899 Hoffenheim, 31 Oct
D. Thioune
10 N. Füllkrug
10 Füllkrug
17 M. Grüll
17 Grüll
20 Chuky San José
20 José
8 M. Weiser
8 Weiser
44 Y. Regeer
44 Regeer
15 L. Reis
15 Reis
2 O. Deman
2 Deman
32 M. Friedl
32 Friedl
5 A. Pieper
5 Pieper
13 Arthur
13 Arthur
1 K. Hein
1 Hein

Borussia Mönchengladbach

3-4-2-1 · XI v SC Paderborn 07, 31 Oct
A. Blessin
18 S. Machino
18 Machino
25 R. Hack
25 Hack
36 W. Mohya
36 Mohya
26 L. Ullrich
26 Ullrich
10 F. Neuhaus
10 Neuhaus
47 Z. Uno
47 Uno
29 J. Scally
29 Scally
2 F. Chiarodia
2 Chiarodia
16 P. Sander
16 Sander
14 D. Hashioka
14 Hashioka
33 D. Batz
33 Batz

Season data

Bundesliga numbers for both sides, when they score and the players who carry them.

Werder Bremen

4-2-3-1
W-D-L
3-3-1
Goals
15-14
Clean sheets
0
Failed to score
0
Best win run
1
Penalties
3/3
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Borussia Mönchengladbach

3-4-2-1
W-D-L
1-0-6
Goals
11-22
Clean sheets
0
Failed to score
2
Best win run
0
Penalties
1/2
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Werder Bremen

  • N. Füllkrug 9 G · 0 A · 8 apps
  • M. Grüll 2 G · 6 A · 8 apps

Key players · Borussia Mönchengladbach

  • J. Scally 3 G · 1 A · 8 apps

Top scorers · Bundesliga

  1. 1 N. Füllkrug Werder Bremen 9
  2. 2 P. Schick Bayer Leverkusen 7
  3. 3 M. Olise Bayern München 6
  4. 4 Y. Ebnoutalib Eintracht Frankfurt 5
  5. 5 E. Demirović VfB Stuttgart 5
Venue Weserstadion, Bremen
New at Werder Bremen Arthur (Bayer Leverkusen), M. N'Diaye (Anderlecht), Y. Regeer (Ajax)
New at Borussia Mönchengladbach N. Kühn (Como), K. Itakura (Ajax), D. Hashioka (Slavia Praha)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Werder Bremen

0% of models lean home — the clearest cluster on this fixture before kickoff.

02
Low confidence

Mean 0% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 0.00 vs 0.00

Derived from predicted scorelines (model means), not live match data — useful for pace vs vote-share sanity checks.

04
Match context

Expected-goals tilt and home-field rhythm (see xG on this page) usually explain whether the game stays open or compresses late.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Match stats forecast

Corners, cards and shots from each side's last 10 matches at this venue, blended with the league average. Pure statistics, not an AI vote.

No AI
Metric Werder Bremen Borussia Mönchengladbach Expected total Lean
Corners 4.9 4.1 9.0 Over 8.5 54% Ask AI
Yellow cards 1.7 2.0 3.8 Over 3.5 52% Ask AI
Shots 15.1 12.8 27.9 Over 27.5 51% Ask AI
Shots on target 6.0 4.0 10.0 Over 9.5 54% Ask AI

Sample: 10 matches per side. Over the last 90 days the corners lean hit 55% of 333 graded matches, cards 57% of 334. Probabilities are Poisson estimates for information only.

— Match context

Form, history, team news.

Werder Bremen
#7 · 12 PTS · GD +1
Last 5
W L W D D
11 GF · 9 GA
Recent fixtures
  • 1899 Hoffenheim 2-0 W
  • Borussia Dortmund 3-2 L
  • FSV Mainz 05 2-3 W
  • SC Paderborn 07 2-2 D
  • Borussia Dortmund 2-2 D
Team news
F. Agu — Calf Injury K. Topp — Knee Injury M. Weiser — Knee Injury O. Wojcik — Muscle Injury J. Njinmah — Thigh Injury J. Stage — Muscle Injury S. Lynen — Hip Injury M. N'Diaye — Groin Injury S. Alvero — Calf Injury S. Musah — Muscle Injury N. Stark — Muscle Injury P. Erevbenagie — Ankle Injury
Borussia Mönchengladbach
#18 · 3 PTS · GD -11
Last 5
D W W L L
7 GF · 6 GA
Recent fixtures
  • SC Paderborn 07 0-0 D
  • Karlsruher SC 2-0 W
  • VfB Stuttgart 2-3 W
  • 1899 Hoffenheim 1-2 L
  • 1. FC Köln 2-1 L
Team news
J. Castrop — Shoulder Injury F. C. Chiarodia — Muscle Injury T. Cvancara — Groin Injury Y. Konoplya — Knee Injury Z. Uno — Muscle Injury D. Hashioka — Neck Injury E. Leopold — Knee Injury N. Kuhn — Muscle Injury T. Kleindienst — Red Card F. Honorat — Muscle Injury K. Itakura — Ankle Injury H. Bolin — Muscle Injury
— Head to head

Last five meetings.

WER 1 · D 2 · BOR 2

WER VS BOR
1-1
DRAW
Jan 31, 2026
BOR VS WER
0-4
AWAY WIN
Sep 14, 2025
WER VS BOR
2-4
AWAY WIN
Mar 15, 2025
BOR VS WER
4-1
HOME WIN
Nov 3, 2024
WER VS BOR
2-2
DRAW
May 4, 2024

Confidence trend

Cumulative average confidence in table order.

Not enough points to plot a trend.

Betting tips (AI-signal view)

Educational only — not financial advice. We summarize how the AI picks cluster so you can cross-check with your own staking plan.

  • Lean with the plurality: when 0% of models side with Werder Bremen, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight Bundesliga games often compress toward stalemates when both midfields win the second-ball.
  • If you chase “best bets today” narratives, require alignment between the headline pick and the score-frequency table; conflicting signals usually mean thinner edge.

Odds & analysis (implied probabilities)

Implied fair percentages from the model vote share (normalized to 100%) approximate how a balanced market might price the 1X2 if it mirrored this panel — useful for odds analysis homework even though we do not quote sportsbook ticks here.

Werder Bremen
~0%
implied lean
Draw
~0%
implied lean
Borussia Mönchengladbach
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 0.01 goals in expectation. A notional totals line near 0.3 is consistent with that pace (rounded for readability). If your sportsbook posts a similar number, compare juice and live team news before deciding either side of the total.

Handicap prediction (spread-style read)

When Werder Bremen is priced as the stronger side in the model vote, a −1 handicap narrative only clears if the most common scorelines include multi-goal wins. Cross-check the score-frequency list: if tight one-goal wins dominate, Asian handicaps near pick’em or −0.5 / −0.75 splits often fit the story better than a full −1.5 sell.

BTTS prediction (both teams to score)

With combined offensive weight near 0.01 xG, a heuristic “both teams score” prior lands around 35% yes before defensive adjustments. If several top models forecast clean-sheet pathways, downgrade BTTS enthusiasm even when the raw xG sum looks juicy.

Best bet framing (consensus-led)

Our headline best bet label follows the consensus recommendation: . Pair that with the confidence band (Low) — high dispersion across models usually argues for smaller stake or pass, even when the headline pick looks tempting for a today prediction card on social.

Match overview

Looking for a today prediction on Werder Bremen vs Borussia Mönchengladbach in Bundesliga? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (—; the frequency chart below lists the most common exact scorelines), and implied splits before kickoff.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is , with vote shares roughly 0% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Werder Bremen vs Borussia Mönchengladbach, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

Explore more

Keep browsing today prediction coverage and league hubs.

— Journal

Articles linked to these clubs or AI forecasting.

Ask multiple AIs about this match.

10 models vote yes or no with this match's last-5 form, head-to-head, live status and our model picks attached — not from memory. Then ask follow-ups to the same council.