AL- 0-1 ALR · 46% AL- 0-2 AL- · 62% GAZ 1-2 KAS · 50% AL- 2-1 NEO · 54% HAM 2-0 IFE · 57% SIL 2-1 LYN · 49% BAR 1-0 RAC · 46% WIL 1-2 PEC · 51% HAM 1-0 BOR · 47% BRI 1-0 CAM · 46% VEN 1-1 UDI · 42% TOU 2-1 STR · 53% STA 2-1 SKB · 49% OXF 0-2 LEI · 61% AL- 0-1 ALR · 46% AL- 0-2 AL- · 62% GAZ 1-2 KAS · 50% AL- 2-1 NEO · 54% HAM 2-0 IFE · 57% SIL 2-1 LYN · 49% BAR 1-0 RAC · 46% WIL 1-2 PEC · 51% HAM 1-0 BOR · 47% BRI 1-0 CAM · 46% VEN 1-1 UDI · 42% TOU 2-1 STR · 53% STA 2-1 SKB · 49% OXF 0-2 LEI · 61%
Primera División · Regular Season - 27 Estadio Nacional Julio Martínez Prádanos, Santiago Not Started

Universidad de Chile
vs
Cobresal.

Quick answer

Who will win Universidad de Chile vs Cobresal?

10 of 10 AI models pick Universidad de Chile to win (100%). The mean predicted score is 2–0 at 55% average confidence (medium).

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

Head-to-head history → Universidad de Chile form Cobresal form

All 10 AIs agree. When the whole council agrees, it has been right 62% of the time (897 matches).

10 AI models read this match. The plurality on 1X2 leans toward Universidad de Chile (10 of 10 models). The mean predicted score (rounded from all models) is 2–0 at 55% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

Primera División table Where Universidad de Chile and Cobresal stand right now
— Consensus

Where the panel lands.

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

Universidad de Chile win 100%

10 / 10 models

Draw 0%

0 / 10 models

Cobresal 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-6 Luna
Universidad de Chile win
2–0
65%
Universidad de Chile's 45-21 season goal balance and strong home venue contrast with Cobresal's 13 losses and 48 goals conceded. The recent head-to-head defeats temper confidence, but the hosts' stronger season profile supports a controlled win.
02
Claude Sonnet 5.5
Universidad de Chile win
2–0
36%
Universidad de Chile are much stronger this season (45-21 goals, 11 clean sheets, four straight wins before last loss) while Cobresal sit near the bottom, though Cobresal won the last three H2H meetings.
03
Gemini 3.8 Flash
Universidad de Chile win
2–0
62%
Universidad de Chile boasts 11 clean sheets and strong season form, while Cobresal has struggled defensively, conceding 48 goals in 25 matches.
04
Grok 4.7
Universidad de Chile win
2–0
58%
Universidad de Chile's 14-6-6 record, 45-21 goals and 11 clean sheets outweigh a poor H2H. Cobresal's leaky defense and winless last five favor a controlled home win.
05
DeepSeek V4 Pro
Universidad de Chile win
2–0
55%
Universidad de Chile are 14W-6D-6L with 45 goals and 11 clean sheets, while Cobresal have 13 losses and only 4 clean sheets; recent H2H is poor for the hosts, but current form and venue support a controlled home win.
06
Qwen 3.8 Max
Universidad de Chile win
2–0
58%
U. de Chile's strong home form (WWWWL), solid defense (11 clean sheets), and Cobresal's poor record (6W 13L) support a comfortable home win despite recent H2H setbacks.
07
Meta Muse Spark 1.3
Universidad de Chile win
2–0
57%
U. de Chile 14-6-6 with 11 clean sheets and WWWWL form at Nacional faces struggling Cobresal. H2H bogey tempers confidence but defensive gap supports home win to nil.
08
Kimi K3
Universidad de Chile win
2–0
58%
U. Chile's strong home form (14W, 11 clean sheets) and Vargas's 12 goals face Cobresal's poor away defense (48 goals conceded); H2H losses are outweighed by current form and venue.
09
GLM 5.3
Universidad de Chile win
2–0
58%
U de Chile's strong season (14W, 45-21 goals, 11 clean sheets) and home venue outweigh Cobresal's curious three-match H2H edge; Vargas and Arce should break through a leaky Cobresal defense.
10
MiMo V2.6 Pro
Universidad de Chile win
1–0
42%
U de Chile's 11 clean sheets and Cobresal's 13 losses suit a tight home win, though Cobresal won the last three H2H, so confidence stays modest despite Santiago venue and strong season form.
— Scoreline frequency

How often each scoreline showed up.

9 of 10 models settled on 2–0. That convergence is a strong scoreline signal—many fixtures fan out wider across the panel.

  • 2–0
    9 models
  • 1–0
    1 model

Bookmakers vs the AI panel

Bet365 · 1.25 / 5.50 / 10.00
Universidad de Chile Market 74% · AI 100%
Draw Market 17% · AI 0%
Cobresal Market 9% · AI 0%

Grey: bookmaker prices as probabilities, margin removed. Lime: share of the 10 AI models picking each result.

Season data

Primera División numbers for both sides, when they score and the players who carry them.

Universidad de Chile

4-2-3-1
W-D-L
14-6-6
Goals
45-21
Clean sheets
11
Failed to score
6
Best win run
5
Penalties
3/3
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Cobresal

4-4-2
W-D-L
6-6-13
Goals
35-48
Clean sheets
4
Failed to score
7
Best win run
2
Penalties
2/3
When they score
15'30'45'60'75'90'
When they concede
15'30'45'60'75'90'

Key players · Universidad de Chile

  • E. Vargas 12 G · 3 A · 24 apps
  • M. Guerrero 4 G · 8 A · 26 apps
  • A. Arce 7 G · 3 A · 21 apps

Key players · Cobresal

  • S. Pino 8 G · 1 A · 23 apps
  • J. Brea 7 G · 1 A · 24 apps
  • B. Carvallo 1 G · 5 A · 22 apps

Top scorers · Primera División

  1. 1 F. Zampedri U. Catolica 24
  2. 2 J. Correa Colo Colo 18
  3. 3 D. Castro Deportes Limache 14
  4. 4 E. Vargas Universidad de Chile 12
  5. 5 A. Medina Everton de Vina 12
Venue Estadio Nacional Julio Martínez Prádanos, Santiago
New at Universidad de Chile I. Lichnovsky (Fatih Karagümrük), T. Reinhart (Reggiana), G. Añasgo (Racing Club)
New at Cobresal V. Campos (Colo Colo), Martin Espinoza (Universidad de Chile), L. Morales (Comunicaciones)
— Aggregated insights

What’s moving the panel.

01
Consensus favors Universidad de Chile

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

02
Medium confidence

Mean 55% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
xG tilt 1.90 vs 0.00

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

— Match context

Form, history, team news.

Universidad de Chile
#2 · 48 PTS · GD +24
Last 5
W L W W D
15 GF · 3 GA
Recent fixtures
  • Antofagasta 4-0 W
  • U. Catolica 1-0 L
  • Everton de Vina 4-1 W
  • Nublense 6-0 W
  • Everton de Vina 1-1 D
Team news

No major injury updates in the current API snapshot.

Cobresal
#14 · 27 PTS · GD -10
Last 5
D D W L W
7 GF · 7 GA
Recent fixtures
  • O'Higgins 1-1 D
  • Universidad de Concepcion 1-1 D
  • Coquimbo Unido 3-2 W
  • Deportes Limache 3-0 L
  • Palestino 2-0 W
Team news

No major injury updates in the current API snapshot.

Confidence trend

Cumulative average confidence in table order.

First model Last model

Betting tips (AI-signal view)

Educational only — not financial advice. We summarize how the AI picks cluster so you can cross-check with your own staking plan.

  • Lean with the plurality: when 100% of models side with Universidad de Chile, treat that as the default script unless late team news breaks the assumptions.
  • Watch the draw lane at 0% — tight Primera División games often compress toward stalemates when both midfields win the second-ball.
  • If you chase “best bets today” narratives, require alignment between the headline pick and the score-frequency table; conflicting signals usually mean thinner edge.

Odds & analysis (implied probabilities)

Implied fair percentages from the model vote share (normalized to 100%) approximate how a balanced market might price the 1X2 if it mirrored this panel — useful for odds analysis homework even though we do not quote sportsbook ticks here.

Universidad de Chile
~100%
implied lean
Draw
~0%
implied lean
Cobresal
~0%
implied lean

Over / under prediction (totals)

Model-derived xG sums to 1.90 goals in expectation. A notional totals line near 2.2 is consistent with that pace (rounded for readability). If your sportsbook posts a similar number, compare juice and live team news before deciding either side of the total.

Handicap prediction (spread-style read)

When Universidad de Chile is priced as the stronger side in the model vote, a −1 handicap narrative only clears if the most common scorelines include multi-goal wins. Cross-check the score-frequency list: if tight one-goal wins dominate, Asian handicaps near pick’em or −0.5 / −0.75 splits often fit the story better than a full −1.5 sell.

BTTS prediction (both teams to score)

With combined offensive weight near 1.90 xG, a heuristic “both teams score” prior lands around 55% yes before defensive adjustments. If several top models forecast clean-sheet pathways, downgrade BTTS enthusiasm even when the raw xG sum looks juicy.

Best bet framing (consensus-led)

Our headline best bet label follows the consensus recommendation: Universidad de Chile win. Pair that with the confidence band (Medium) — high dispersion across models usually argues for smaller stake or pass, even when the headline pick looks tempting for a today prediction card on social.

Match overview

Looking for a today prediction on Universidad de Chile vs Cobresal in Primera División? 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 (2 - 0; 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 Universidad de Chile win, with vote shares roughly 100% / 0% / 0% home, draw, and away (rounded).

If you are asking who will win Universidad de Chile vs Cobresal, 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.

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.