EIN 2-1 1.F · 49% LEM 1-2 TOU · 44% FRO 1-1 SAS · 42% DEP 1-1 LEV · 44% EVE 1-2 CHE · 46% ESP 1-2 ATL · 48% VEN 0-2 NAP · 54% BAY 2-1 SCF · 49% UNI 0-2 BOR · 51% BOR 2-1 189 · 45% HAM 1-2 VFB · 47% WER 2-1 SCP · 49% FCS 1-0 FSV · 44% SVE 1-2 FCA · 47% EIN 2-1 1.F · 49% LEM 1-2 TOU · 44% FRO 1-1 SAS · 42% DEP 1-1 LEV · 44% EVE 1-2 CHE · 46% ESP 1-2 ATL · 48% VEN 0-2 NAP · 54% BAY 2-1 SCF · 49% UNI 0-2 BOR · 51% BOR 2-1 189 · 45% HAM 1-2 VFB · 47% WER 2-1 SCP · 49% FCS 1-0 FSV · 44% SVE 1-2 FCA · 47%
NHL Oct 14, 2026 · 00:00 Finished

Chicago Blackhawks
vs
Pittsburgh Penguins.

Quick answer

Who will win Chicago Blackhawks vs Pittsburgh Penguins?

Final score: Chicago Blackhawks 5–3 Pittsburgh Penguins. Before kickoff, 10 of 10 AI models pick Pittsburgh Penguins to win (100%); the consensus was wrong. The AI predicted score was 4–5.

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 (313 games).

10 AI models read this game. The plurality on the winner leans toward Pittsburgh Penguins (10 of 10 models). The mean predicted score (rounded from all models) is 4–5 at 61% 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 Chicago Blackhawks beat Pittsburgh Penguins 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.

Chicago Blackhawks win 0%

0 / 10 models

Pittsburgh Penguins win 100%

10 / 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
Pittsburgh Penguins win
4–5
68%
Pittsburgh has won four of the last five meetings, including two dominant recent results, while Chicago’s home advantage should keep the margin moderate in an otherwise offense-friendly matchup.
02
Claude Sonnet 5
Pittsburgh Penguins win
3–4
60%
Penguins have dominated recent meetings, winning four of last five with strong scoring; Chicago has struggled defensively in this matchup.
03
Gemini 3.8 Flash
Pittsburgh Penguins win
2–4
58%
Pittsburgh has dominated recent head-to-head meetings, consistently exploiting Chicago's defensive vulnerabilities. Expect the Penguins' top-end finishing to prevail on the road.
04
Grok 4.6
Pittsburgh Penguins win
2–4
58%
Penguins won four of five recent meetings, often by multiple goals. Chicago’s home ice is real but not enough to overturn that mismatch on current evidence.
05
DeepSeek V4 Pro
Pittsburgh Penguins win
4–5
68%
Penguins have dominated recent head-to-heads, winning four of five with multiple multi-goal victories. Pittsburgh's attack has consistently broken down Chicago's defense, making an away win likely.
06
Qwen 3.8 Max
Pittsburgh Penguins win
4–5
60%
Pittsburgh dominated this H2H recently (4 wins in last 5, often by wide margins). Home ice narrows the gap slightly but Pittsburgh's offensive edge over Chicago is clear.
07
Mistral Medium 3.5
Pittsburgh Penguins win
4–5
68%
Penguins dominated recent H2H (6-2, 7-3, 5-0 wins) and show stronger offensive form.
08
Kimi K3
Pittsburgh Penguins win
2–4
68%
Pittsburgh has dominated this matchup, winning four of the last five meetings including two recent blowouts. Chicago's defense has struggled to contain the Penguins' attack, giving Pittsburgh a clear edge even on the road.
09
GLM 5.3
Pittsburgh Penguins win
2–4
55%
Pittsburgh has dominated recent H2H meetings (6-2, 7-3, 5-0), suggesting a real edge that likely persists despite roster changes; Chicago's home advantage keeps this modest rather than lopsided.
10
MiMo V2.5 Pro
Pittsburgh Penguins win
4–5
62%
Pittsburgh dominated recent H2H, winning the last three by a combined 18-5. Chicago's home advantage is outweighed by the Penguins' clear scoring superiority in this matchup.
— Scoreline frequency

How often each scoreline showed up.

5 of 10 models settled on 4–5. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 4–5
    5 models
  • 2–4
    4 models
  • 3–4
    1 model

Match overview

Looking for a today prediction on Chicago Blackhawks vs Pittsburgh Penguins 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 - 5; 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 Pittsburgh Penguins win, with vote shares roughly 0% / 100% home and away (rounded).

If you are asking who will win Chicago Blackhawks vs Pittsburgh Penguins, 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 Pittsburgh Penguins

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

02
Medium confidence

Mean 61% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 3.10 vs 4.50

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.

Related matches

— 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.