BOR 2-1 WER · 52% RBL 2-1 EIN · 51% 189 2-1 HAM · 48% SCF 2-0 FCS · 54% FCA 1-3 BAY · 56% FSV 1-2 BAY · 47% UNI 2-0 SVE · 51% 1.F 2-2 BOR · 43% SCP 1-2 VFB · 45% LIV 1-1 MAN · 44% ARS 3-0 LEE · 60% CHE 2-1 BOU · 47% MAN 2-1 TOT · 45% AST 2-1 BRE · 45% BOR 2-1 WER · 52% RBL 2-1 EIN · 51% 189 2-1 HAM · 48% SCF 2-0 FCS · 54% FCA 1-3 BAY · 56% FSV 1-2 BAY · 47% UNI 2-0 SVE · 51% 1.F 2-2 BOR · 43% SCP 1-2 VFB · 45% LIV 1-1 MAN · 44% ARS 3-0 LEE · 60% CHE 2-1 BOU · 47% MAN 2-1 TOT · 45% AST 2-1 BRE · 45%
NHL Oct 1, 2026 · 23:00 Finished

New York Rangers
vs
Tampa Bay Lightning.

Quick answer

Who will win New York Rangers vs Tampa Bay Lightning?

Final score: New York Rangers 5–1 Tampa Bay Lightning. Before kickoff, 9 of 10 AI models pick New York Rangers to win (90%); the consensus was right. The AI predicted score was 4–3.

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

10 AI models read this game. The plurality on the winner leans toward New York Rangers (9 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?

Vote before kick-off and compare with AI

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

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“Will New York Rangers beat Tampa Bay Lightning 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.

New York Rangers win 90%

9 / 10 models

Tampa Bay Lightning win 10%

1 / 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
New York Rangers win
4–3
57%
Recent meetings favor New York overall, including a 4-2 Rangers win in April, while Tampa’s scoring threat makes this likely to remain close. Home ice gives New York a modest edge in an expected high-tempo game.
02
Claude Sonnet 5
New York Rangers win
4–3
55%
Recent H2H trends favor Rangers at home, including a 4-2 win last April; season opener adds variance, so moderate confidence.
03
Gemini 3.8 Flash
New York Rangers win
4–2
58%
The Rangers hold home-ice advantage at Madison Square Garden and have generally controlled recent head-to-head encounters, utilizing strong goaltending and opportunistic finishing to secure a two-goal victory.
04
Grok 4.6
New York Rangers win
3–2
55%
H2H is split but Rangers won three of five, including a home shutout. Early-season venue edge and typical NHL pace support a one-goal home win.
05
DeepSeek V4 Pro
New York Rangers win
4–3
58%
Rangers have won three of the last five meetings, including a 4-2 road win in April, and hold home ice. Lightning remain dangerous offensively, so a close, higher-scoring game fits.
06
Qwen 3.8 Max
New York Rangers win
3–2
58%
Rangers won 3 of last 5 H2H including a road win in April; home ice and season opener energy favor a tight Rangers victory.
07
Mistral Medium 3.5
New York Rangers win
4–2
62%
Rangers hold 3-2 edge in recent H2H; home ice and balanced scoring depth favor them.
08
Kimi K3
Tampa Bay Lightning win
2–3
52%
Season opener with no current form data; H2H is split with high-scoring swings, so I lean slightly on Tampa Bay's road experience and defensive structure in a tight, low-margin game.
09
GLM 5.3
New York Rangers win
4–2
58%
Rangers won three of the last five meetings including two high-scoring road wins at Tampa; home ice and that offensive edge supports a modest multi-goal margin, though Lightning remain dangerous offensively.
10
MiMo V2.5 Pro
New York Rangers win
4–3
58%
Recent H2H shows high-scoring, open games; Rangers' home venue and last meeting win give a slight edge in a tight contest.
— Scoreline frequency

How often each scoreline showed up.

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

  • 4–3
    4 models
  • 4–2
    3 models
  • 3–2
    2 models
  • 2–3
    1 model

Match overview

Looking for a today prediction on New York Rangers vs Tampa Bay Lightning 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 New York Rangers win, with vote shares roughly 90% / 10% home and away (rounded).

If you are asking who will win New York Rangers vs Tampa Bay Lightning, 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 New York Rangers

90% 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 3.60 vs 2.50

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.