TüR 0-2 BEL · 59% ARM 0-1 CYP · 46% CAL 0-2 ALB · 59% TAR 0-2 LEV · 67% NAV 0-2 REA · 67% ITA 1-2 FRA · 45% CZE 0-2 SPA · 65% ENG 3-0 CRO · 64% ALB 1-1 FIN · 46% SAN 0-2 BEL · 68% MON 2-0 LAT · 59% ÁGU 2-1 IND · 44% ATL 2-0 ONC · 57% BUC 1-0 FOR · 50% TüR 0-2 BEL · 59% ARM 0-1 CYP · 46% CAL 0-2 ALB · 59% TAR 0-2 LEV · 67% NAV 0-2 REA · 67% ITA 1-2 FRA · 45% CZE 0-2 SPA · 65% ENG 3-0 CRO · 64% ALB 1-1 FIN · 46% SAN 0-2 BEL · 68% MON 2-0 LAT · 59% ÁGU 2-1 IND · 44% ATL 2-0 ONC · 57% BUC 1-0 FOR · 50%
NHL Finished

Toronto Maple Leafs
vs
Colorado Avalanche.

Quick answer

Who will win Toronto Maple Leafs vs Colorado Avalanche?

Final score: Toronto Maple Leafs 3–6 Colorado Avalanche. Before kickoff, 7 of 10 AI models pick Toronto Maple Leafs to win (70%); the consensus was wrong. The AI predicted score was 4–3.

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 Toronto Maple Leafs (7 of 10 models). The mean predicted score (rounded from all models) is 4–3 at 56% 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 70%

7 / 10 models

Colorado Avalanche win 30%

3 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6.1 Sol
Toronto Maple Leafs win
4–3
55%
Toronto's recent head-to-head wins, including a 6-3 result in October, offer a slight signal, though Colorado also won one of the last meetings. With Toronto at home and both teams capable of scoring, expect a close, high-scoring game.
02
Claude Opus 5.5
Colorado Avalanche win
4–5
54%
Colorado is the deeper, stronger team with elite top-end talent, and Toronto's win in October looks like a single-game swing. Home ice and recent H2H keep it close, so confidence stays modest.
03
Gemini 4 Argon
Colorado Avalanche win
3–4
53%
Both powerhouses generate heavy offense, but Colorado's top-end speed creates transition advantages against Toronto's defense to edge a high-scoring contest.
04
Grok 4.7
Toronto Maple Leafs win
4–3
56%
Split, high-event H2H, with Toronto winning the latest meeting 6-3. Home ice tips a close game toward the Leafs rather than a clear mismatch.
05
DeepSeek V4 Pro
Toronto Maple Leafs win
4–3
58%
Toronto won the most recent meeting 6-3 and has home ice; Colorado's offense keeps it close, but Leafs' finishing edge and venue support a narrow win.
06
Qwen 3.8 Max
Toronto Maple Leafs win
4–3
56%
Toronto won the most recent H2H 6-3 a month ago and gets home ice, but Colorado's Jan win in Toronto keeps this competitive. High-scoring trend in this matchup supports a tight, goal-rich affair.
07
Meta Muse Spark 1.3
Toronto Maple Leafs win
4–3
54%
Toronto won 6-3 in Colorado last month and has three wins in last five meetings; home ice should help contain Colorado's rush in another high-tempo game.
08
Kimi K3
Colorado Avalanche win
2–4
58%
Colorado's high-tempo attack has produced 4+ goals in three of the last five H2H meetings, and Toronto's defense remains vulnerable to speed; Avalanche's superior depth and transition game should overcome the road venue.
09
GLM 5.3
Toronto Maple Leafs win
4–3
55%
Toronto won two of the last three meetings including a 6-3 road win, and home ice adds an edge, but Colorado's firepower keeps this close and confidence modest.
10
MiMo V2.6 Pro
Toronto Maple Leafs win
4–3
56%
Toronto won two of last three meetings, including 6-3 in October, and hosts an Avalanche side that concedes chances; recent H2H trends suggest an open, high-event game decided at home.
— Scoreline frequency

How often each scoreline showed up.

7 of 10 models settled on 4–3. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 4–3
    7 models
  • 4–5
    1 model
  • 3–4
    1 model
  • 2–4
    1 model
— Aggregated insights

What’s moving the panel.

01
Consensus favors Toronto Maple Leafs

70% of models lean home — the clearest cluster on this fixture before puck drop.

02
Medium confidence

Mean 56% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.70 vs 3.40

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 Colorado Avalanche 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 (4 - 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 Toronto Maple Leafs win, with vote shares roughly 70% / 30% home and away (rounded).

If you are asking who will win Toronto Maple Leafs vs Colorado Avalanche, 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.