CHI 1-1 NEW · 38% STA 1-0 ANG · 45% LOR 2-1 PAR · 44% MON 2-1 TOU · 47% PAR 3-0 LEM · 69% NAP 2-0 FRO · 58% REA 2-1 VIL · 52% BRO 1-1 DAL · 36% POR 1-0 BOI · 41% UNI 1-0 FOR · 44% CHA 1-1 LOU · 39% TAM 1-1 CAR · 37% DET 1-0 RHO · 39% IND 1-1 TAM · 37% CHI 1-1 NEW · 38% STA 1-0 ANG · 45% LOR 2-1 PAR · 44% MON 2-1 TOU · 47% PAR 3-0 LEM · 69% NAP 2-0 FRO · 58% REA 2-1 VIL · 52% BRO 1-1 DAL · 36% POR 1-0 BOI · 41% UNI 1-0 FOR · 44% CHA 1-1 LOU · 39% TAM 1-1 CAR · 37% DET 1-0 RHO · 39% IND 1-1 TAM · 37%
NHL Oct 8, 2026 · 23:00 Finished

Tampa Bay Lightning
vs
Minnesota Wild.

Quick answer

Who will win Tampa Bay Lightning vs Minnesota Wild?

Final score: Tampa Bay Lightning 3–2 Minnesota Wild. Before kickoff, 10 of 10 AI models pick Tampa Bay Lightning to win (100%); the consensus was right. The AI predicted score was 4–3.

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

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (292 games).

10 AI models read this game. The plurality on the winner leans toward Tampa Bay Lightning (10 of 10 models). The mean predicted score (rounded from all models) is 4–3 at 57% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

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10 AI models · council in session Live match data · Pro

Still not sure? Ask 10 AIs at once:
“Will Tampa Bay Lightning beat Minnesota Wild in their upcoming match?”

Every model votes yes or no and defends it in a sentence or two. Attach this match's last-5 form, head-to-head and the picks above so they argue from real data — then keep asking the same council follow-ups.

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— Consensus

Where the panel lands.

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

Tampa Bay Lightning win 100%

10 / 10 models

Minnesota Wild win 0%

0 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-5.6 Luna
Tampa Bay Lightning win
4–3
56%
Tampa Bay’s home advantage and latest 6-3 win over Minnesota support a narrow Lightning edge, while the recent series suggests an open, high-scoring matchup.
02
Claude Sonnet 5
Tampa Bay Lightning win
4–3
55%
Recent H2H shows high-scoring, close contests; home ice and typical Lightning offensive depth give a slight edge in a tight game.
03
Gemini 3.8 Flash
Tampa Bay Lightning win
4–3
56%
Tampa Bay holds home-ice advantage in what typically develops into a high-event matchup against Minnesota, leaning on elite top-line finishing.
04
Grok 4.6
Tampa Bay Lightning win
4–3
56%
H2H is split and high-scoring both ways; early-season form is thin. Home ice and Lightning’s typical attack support a one-goal Tampa win rather than Minnesota.
05
DeepSeek V4 Pro
Tampa Bay Lightning win
4–3
58%
Tampa Bay's home edge and recent 6-3 H2H win suggest they can edge a high-event matchup, though Minnesota's 5-1 road win shows they are dangerous.
06
Qwen 3.8 Max
Tampa Bay Lightning win
4–2
58%
Tampa Bay won the most recent H2H 6-3 at home and tends to score well in this matchup on home ice; season opener context limits certainty.
07
Mistral Medium 3.5
Tampa Bay Lightning win
4–3
58%
Tampa Bay’s home form and recent high-scoring wins edge out Wild’s inconsistent road results.
08
Kimi K3
Tampa Bay Lightning win
4–2
58%
Tampa Bay's home advantage and superior offensive depth should edge Minnesota, though the Wild's recent H2H wins keep confidence moderate. Expect a competitive game with the Lightning pulling ahead late.
09
GLM 5.3
Tampa Bay Lightning win
4–3
55%
H2H is split but Tampa Bay won the most recent meeting 6-3 at home; Lightning's home ice and scoring depth edge a Wild side that has won three of the last five matchups. Evidence is mixed, so confidence stays moderate.
10
MiMo V2.5 Pro
Tampa Bay Lightning win
4–3
58%
Recent H2H shows high-scoring, volatile games; Tampa's home venue and offensive depth give a slight edge in a likely close, open contest.
— Scoreline frequency

How often each scoreline showed up.

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

  • 4–3
    8 models
  • 4–2
    2 models

Match overview

Looking for a today prediction on Tampa Bay Lightning vs Minnesota Wild 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 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 Tampa Bay Lightning win, with vote shares roughly 100% / 0% home and away (rounded).

If you are asking who will win Tampa Bay Lightning vs Minnesota Wild, 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.

— Aggregated insights

What’s moving the panel.

01
Consensus favors Tampa Bay Lightning

100% of models lean home — the clearest cluster on this fixture before kickoff.

02
Medium confidence

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

03
xG tilt 4.00 vs 2.80

Derived from predicted scorelines (model means), not live game 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.

Confidence trend

Cumulative average confidence in table order.

First model Last model

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.