Everton de Vina 2-1 Universidad de Chile – Result & Analysis

Poisson model rates Everton de Vina at 44%, yet other data sources diverge — this Everton de Vina vs Universidad de Chile fixture contains genuine analytical tension.

✍️ Match Preview

Full Analysis

Estadio Sausalito plays host to Everton de Vina versus Universidad de Chile in Primera División, Regular Season - 13. Kick-off: Saturday 14 May 2022 at 20:30 UTC.

Form & Momentum

Everton de Vina have collected 0.80 PPG across 10 Primera División outings this season: 2W 2D 6L. Last five: L D L L L. They are averaging 1.00 goals per game and conceding 1.60 — a modest attacking output that tempers optimism on the Over 2.5 market. 2 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets.

Everton de Vina's form when playing at home: 4W 2D 4L across 10 games at Estadio Sausalito this term (1.40 PPG). At home they are averaging 1.00 goals scored and 1.00 conceded per game. 5 clean sheets from 10 home games (50%) — they are an exceptionally hard side to score against at Estadio Sausalito. Their home PPG of 1.40 is noticeably stronger than their overall 0.80 — Everton de Vina are significantly better at Estadio Sausalito than their overall form suggests.

Universidad de Chile (all games): 1W 2D 7L across 10 Primera División outings this term — 0.50 points per game. Last five: L L D D W. Their scoring rate of 0.40 per game is modest, conceding 1.20 — not a side to back heavily on the Over 2.5 from their form alone. 2 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in only 20% of their fixtures — a very low rate that strongly backs BTTS No.

Universidad de Chile away from home this season: 3W 2D 5L from 10 away games — 1.10 PPG on the road. Away from home they average 1.20 goals scored and 1.30 conceded per game. Their away PPG of 1.10 exceeds their overall 0.50 — they actually perform better on the road than their aggregate form implies.

A near-identical PPG reading — 0.80 for Everton de Vina, 0.50 for Universidad de Chile — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

H2H History

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 1 meetings: Everton de Vina 1W, Universidad de Chile 0W, 0D.

Historically, goals have been at a premium in this fixture — just 1.0 per game from 1 meetings. The Under 2.5 has a clear base rate from the H2H record alone. The most recent clash, on 9 Oct 2021, ended 1–0 with Everton de Vina winning.

With a balanced win record and just 1.0 goals per game historically, the H2H points toward a tight, low-scoring contest. Under 2.5 goals has the strongest statistical grounding from the fixture history regardless of which side wins.

Trading Data

Everton de Vina goal-timing and half-time pattern breakdown (32 games, 16 at home): they score before half-time in 62% of fixtures in home games; when goalless at HT, a second-half goal follows 79% of the time; BTTS occurs in 31% of their matches (home games); Over 2.5 goals lands in 38% of games (home games); they fail to score in 34% of games.

Universidad de Chile goal-timing and half-time pattern breakdown (32 games, 16 at away): they score before half-time in 44% of fixtures in away games; when goalless at HT, a second-half goal follows 76% of the time; BTTS occurs in 50% of their matches (away games); Over 2.5 goals lands in 50% of games (away games); they fail to score in 41% of games.

BTTS rates are mixed from the trading data — Everton de Vina 38% versus Universidad de Chile 53%; no strong lean in either direction. Under 2.5 goals has backing from the in-play data — both teams register low Over 2.5 rates (Everton de Vina 31% | Universidad de Chile 44%).

Poisson Model

The Poisson distribution model projects Everton de Vina 1.20 xG and Universidad de Chile 0.81 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Everton de Vina attack 0.724 / defence 0.851 | Universidad de Chile attack 0.986 / defence 1.244. League average goals — home 1.327 / away 0.964. Everton de Vina's attack strength of 0.724 is below the league average — the 1.20 xG projection reflects a team that scores at a discount to the division norm. Universidad de Chile bring a strong defensive rating of 1.244 — this is suppressing Everton de Vina's projected output below what their attack strength alone would suggest. Data: 44 Everton de Vina games / 44 Universidad de Chile games used (CurrentSeason).

Result probabilities: Everton de Vina 44% | Draw 31% | Universidad de Chile 24%. Fair-value odds: Everton de Vina 2.27 | Draw 3.23 | Universidad de Chile 4.17. This is a low-confidence result — no outcome exceeds 45%. The draw at 31% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 32% | BTTS probability 39% | Total xG 2.00. Under 2.5 is the strongly backed market at 68% probability — total xG of 2.00 sits well below the 2.5 threshold. The model is projecting a tight, low-scoring match based on both sides' defensive quality. BTTS probability of 39% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Final Verdict

Poisson rates Everton de Vina as the most likely outcome at 44% — marginal model lean. Draw probability of 31% warrants consideration of Double Chance or Draw No Bet on Everton de Vina if the outright odds are short.

The Poisson model projects 2.00 xG in total — Under 2.5 at 32% — Poisson-only — limited corroboration confidence.

Poisson assigns a 39% probability to BTTS No based on the attack/defence strength model. Form rates corroborate: Everton de Vina 40% | Universidad de Chile 50% BTTS from recent games.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights