COM 1-0 PAR · 57% TOR 0-1 ASR · 57% INT 2-1 UDI · 63% LEE 1-1 NEW · 57% VIL 1-1 REA · 57% RAY 1-1 ESP · 57% ALA 1-1 VAL · 56% ELC 0-2 REA · 68% ATL 1-0 OSA · 63% BAR 2-0 RAC · 70% REA 2-1 GET · 59% DEP 0-1 SEV · 58% LEV 1-2 ATH · 61% MAL 1-2 VIL · 57% COM 1-0 PAR · 57% TOR 0-1 ASR · 57% INT 2-1 UDI · 63% LEE 1-1 NEW · 57% VIL 1-1 REA · 57% RAY 1-1 ESP · 57% ALA 1-1 VAL · 56% ELC 0-2 REA · 68% ATL 1-0 OSA · 63% BAR 2-0 RAC · 70% REA 2-1 GET · 59% DEP 0-1 SEV · 58% LEV 1-2 ATH · 61% MAL 1-2 VIL · 57%
KBO Sep 11, 2026 · 09:30 Finished

Hanwha Eagles
vs
NC Dinos.

10 AI models read this game. The plurality on the winner leans toward NC Dinos (10 of 10 models). The mean predicted score (rounded from all models) is 5–8 at 59% 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 Hanwha Eagles beat NC Dinos 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.

Hanwha Eagles win 0%

0 / 10 models

NC Dinos win 100%

10 / 10 models

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— 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
NC Dinos win
6–7
58%
NC Dinos have won three of the last four completed meetings and scored heavily in the recent series. Hanwha’s home field should keep this competitive, but NC’s stronger recent matchup profile favors a moderate-scoring away win.
02
Claude Sonnet 5
NC Dinos win
7–8
54%
NC has won 4 of last 5 meetings with high-scoring games; Hanwha's pitching has struggled to contain them recently despite home venue.
03
Gemini 3.8 Flash
NC Dinos win
5–7
58%
Recent head-to-head encounters show NC Dinos consistently generating strong offensive output against Hanwha's pitching, giving the away side a scoring advantage in a high-scoring game.
04
Grok 4.6
NC Dinos win
5–8
58%
NC took three of four recent finished meetings, including 10-7 and 11-4 in late August. Hanwha’s home park is a modest offset; scoring stays in that high-run H2H range.
05
DeepSeek V4 Pro
NC Dinos win
5–8
62%
NC Dinos have won three of the last five meetings, including 10-7 and 11-4 at Hanwha, outscoring the Eagles 40-29 in that span; their lineup should edge another high-scoring contest.
06
Qwen 3.8 Max
NC Dinos win
4–7
62%
NC Dinos dominated recent H2H with high-scoring wins (10-7, 11-4); Hanwha's home edge insufficient against Dinos' offensive momentum.
07
Mistral Medium 3.5
NC Dinos win
4–7
65%
NC Dinos won 3 of last 4 H2H, scoring heavily; away edge.
08
Kimi K3
NC Dinos win
5–8
58%
NC Dinos won three of the last four decided H2H meetings, often by multiple runs in high-scoring games at Hanwha; their bats travel well here, so a moderate away edge.
09
GLM 5.3
NC Dinos win
4–7
55%
NC Dinos won three of the last four completed meetings with Hanwha, outscoring them heavily in late August; away form carries despite venue.
10
MiMo V2.5 Pro
NC Dinos win
5–8
60%
NC Dinos have won three of the last four H2H games with high scores, indicating strong offensive form that should overcome Hanwha's home edge.
— Scoreline frequency

How often each scoreline showed up.

4 of 10 models settled on 5–8. The rest of the list shows where dissent still lives before kickoff.

  • 5–8
    4 models
  • 4–7
    3 models
  • 6–7
    1 model
  • 7–8
    1 model
  • 5–7
    1 model

Match overview

Looking for a today prediction on Hanwha Eagles vs NC Dinos in KBO? 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 (5 - 8; 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 NC Dinos win, with vote shares roughly 0% / 100% home and away (rounded).

If you are asking who will win Hanwha Eagles vs NC Dinos, 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 NC Dinos

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

02
Medium confidence

Mean 59% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected runs tilt 5.00 vs 7.50

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

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— Journal

Articles linked to these clubs or AI forecasting.

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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.