PLY 2-1 BER · 51% JUN 2-1 CUC · 53% ANA 0-2 ALA · 60% PAM 0-2 EIB · 58% AMO 1-0 UDL · 48% MIJ 0-1 REA · 50% TRI 0-2 LEG · 61% TAV 0-2 VAL · 65% TüR 0-2 BEL · 57% ARM 0-1 CYP · 44% CAL 0-2 ALB · 59% TAR 0-2 LEV · 63% NAV 0-2 REA · 64% ITA 1-2 FRA · 44% PLY 2-1 BER · 51% JUN 2-1 CUC · 53% ANA 0-2 ALA · 60% PAM 0-2 EIB · 58% AMO 1-0 UDL · 48% MIJ 0-1 REA · 50% TRI 0-2 LEG · 61% TAV 0-2 VAL · 65% TüR 0-2 BEL · 57% ARM 0-1 CYP · 44% CAL 0-2 ALB · 59% TAR 0-2 LEV · 63% NAV 0-2 REA · 64% ITA 1-2 FRA · 44%
NHL Finished

Toronto Maple Leafs
vs
Montreal Canadiens.

Quick answer

Who will win Toronto Maple Leafs vs Montreal Canadiens?

Final score: Toronto Maple Leafs 2–4 Montreal Canadiens. Before kickoff, 8 of 10 AI models pick Montreal Canadiens to win (80%); the consensus was right. The AI predicted score was 2–3.

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

10 AI models read this game. The plurality on the winner leans toward Montreal Canadiens (8 of 10 models). The mean predicted score (rounded from all models) is 2–3 at 57% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

— Consensus

Where the panel lands.

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

Toronto Maple Leafs win 20%

2 / 10 models

Montreal Canadiens win 80%

8 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6 Luna
Toronto Maple Leafs win
4–3
54%
Montreal has won the five listed meetings, including the latest, but those results span changing rosters and seasons. Toronto's home ice makes a narrow reversal plausible; the limited current-season context keeps confidence modest.
02
Claude Sonnet 5.5
Montreal Canadiens win
3–4
53%
Montreal won all five listed meetings, including three straight in September, though some may be preseason games. Toronto's home edge keeps this close, so the lean is modest toward Montreal in a one-goal game.
03
Gemini 3.8 Flash
Toronto Maple Leafs win
4–2
58%
Despite Montreal's recent head-to-head success, Toronto's superior top-six scoring depth and home-ice advantage should finally prevail in a tight rivalry contest.
04
Grok 4.7
Montreal Canadiens win
2–3
58%
Montreal won all five recent meetings, including two in Toronto this season. Home ice narrows the margin, but the rivalry trend still favors the Canadiens.
05
DeepSeek V4 Pro
Montreal Canadiens win
3–4
62%
Montreal has won four straight head-to-head meetings, including two on Toronto's ice, showing recent matchup control despite venue.
06
Qwen 3.8 Max
Montreal Canadiens win
2–3
56%
Montreal has won all five recent H2H meetings, including two at Toronto's venue. Strong pattern, though roster changes and rivalry volatility temper confidence.
07
Meta Muse Spark 1.3
Montreal Canadiens win
2–4
62%
Montreal won five straight over Toronto including twice in Toronto; matchup history shows Canadiens limit Leafs scoring.
08
Kimi K3
Montreal Canadiens win
2–3
58%
Montreal has won five straight meetings, including twice in Toronto this season, while holding the Leafs to two goals or fewer in four of them; expect another tight, low-scoring Canadiens edge.
09
GLM 5.3
Montreal Canadiens win
3–4
55%
Montreal has won five straight H2H meetings, including twice in Toronto this season; despite home-ice edge, recent head-to-head results favor the Canadiens in a tight, low-scoring game.
10
MiMo V2.6 Pro
Montreal Canadiens win
2–3
57%
Montreal has won five straight over Toronto, including two September wins at Toronto, showing consistent matchup edge. Leafs' home ice narrows it, but Canadiens' recent scoring form keeps them favored.
— Scoreline frequency

How often each scoreline showed up.

4 of 10 models settled on 2–3. The rest of the list shows where dissent still lives before puck drop.

  • 2–3
    4 models
  • 3–4
    3 models
  • 4–3
    1 model
  • 4–2
    1 model
  • 2–4
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors Montreal Canadiens

80% of models lean away — the clearest cluster on this fixture before puck drop.

02
Medium confidence

Mean 57% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 2.70 vs 3.30

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

04
Match context

Rest, recent form and home advantage usually decide whether the favourite wins comfortably or the game stays close; check both teams below.

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.

Confidence trend

Cumulative average confidence in table order.

First model Last model

Match overview

Looking for a today prediction on Toronto Maple Leafs vs Montreal Canadiens in NHL? 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 (2 - 3; the frequency chart below lists the most common exact scorelines), and implied splits before puck drop.

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 Montreal Canadiens win, with vote shares roughly 20% / 80% home and away (rounded).

If you are asking who will win Toronto Maple Leafs vs Montreal Canadiens, 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.

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— 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.