OţE 1-0 COR · 53% ALD 1-1 ATL · 17% PET 1-0 CSI · 55% BAR 3-3 IND · 16% LAN 1-1 EST · 53% CHI - YAT · 0% BRA - NEE · 0% CRO - HAM · 0% DAG - WAL · 0% EXM - THA · 0% FAR - UXB · 0% FAR - CIR · 0% GAI - LEA · 0% MAI - CRA · 0% OţE 1-0 COR · 53% ALD 1-1 ATL · 17% PET 1-0 CSI · 55% BAR 3-3 IND · 16% LAN 1-1 EST · 53% CHI - YAT · 0% BRA - NEE · 0% CRO - HAM · 0% DAG - WAL · 0% EXM - THA · 0% FAR - UXB · 0% FAR - CIR · 0% GAI - LEA · 0% MAI - CRA · 0%
NHL Sep 20, 2026 · 21:00 Finished

Tampa Bay Lightning
vs
Nashville Predators.

Quick answer

Who will win Tampa Bay Lightning vs Nashville Predators?

Final score: Tampa Bay Lightning 2–1 Nashville Predators. Before kickoff, 10 of 10 AI models pick Tampa Bay Lightning to win (100%); the consensus was right.

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 Tampa Bay Lightning (10 of 10 models). The mean predicted score (rounded from all models) is 4–2 at 63% 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

Still not sure? Ask 10 AIs at once:
“Will Tampa Bay Lightning beat Nashville Predators 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

Nashville Predators 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
4–2
63%
Tampa Bay has won all five listed recent meetings, including three in Nashville, suggesting a favorable matchup. Home ice supports the Lightning in a moderately high-scoring game, though early-season uncertainty limits confidence.
02
Claude Sonnet 5
Tampa Bay Lightning win
4–2
60%
Tampa Bay has dominated recent H2H meetings and holds home-ice advantage; season-opener context favors the more consistently stronger roster.
03
Gemini 3.8 Flash
Tampa Bay Lightning win
4–2
63%
Tampa Bay holds a strong historical edge over Nashville and boasts greater offensive depth at home, which should prove decisive in a competitive pre-season matchup.
04
Grok 4.6
Tampa Bay Lightning win
4–2
62%
Lightning swept the last five H2H meetings, including a 3-2 home win. Tampa’s home ice and finishing edge support a two-goal NHL margin, not a blowout.
05
DeepSeek V4 Pro
Tampa Bay Lightning win
4–2
63%
Tampa Bay has won all five recent H2H meetings, often by multiple goals, and holds home ice. Nashville's offense has struggled against Lightning's structure, supporting a two-goal margin.
06
Qwen 3.8 Max
Tampa Bay Lightning win
3–2
62%
Tampa Bay has won all five recent H2H meetings, including a 3-2 home win last March. Home ice and consistent dominance over Nashville support a close Lightning victory.
07
Mistral Medium 3.5
Tampa Bay Lightning win
4–2
65%
Lightning dominate recent H2H with 4 wins in last 5, home ice advantage, and consistent offensive output.
08
Kimi K3
Tampa Bay Lightning win
4–2
68%
Tampa Bay has won five straight H2H meetings including a 3-2 victory in March, showing consistent superiority over Nashville. Home ice advantage and historical dominance support a multi-goal margin.
09
GLM 5.3
Tampa Bay Lightning win
4–2
60%
Tampa Bay has won five straight H2H meetings with Nashville, including home wins, and holds home-ice edge; Predators' scoring has been limited to 1-2 goals in those games.
10
MiMo V2.5 Pro
Tampa Bay Lightning win
4–2
68%
Tampa Bay's strong recent H2H record (5-0) and home venue advantage suggest a win, with their offense likely outpacing Nashville's in a high-tempo game.
— Scoreline frequency

How often each scoreline showed up.

9 of 10 models settled on 4–2. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

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

Match overview

Looking for a today prediction on Tampa Bay Lightning vs Nashville Predators 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 - 2; 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 Nashville Predators, 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 63% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.90 vs 2.00

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.