D. La Serena vs Nublense Statistics & Analysis

D. La Serena

Sep 06, 2026 - 15:30

2 1.45

1 1.16

xG Accuracy: 82%

Nublense

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

Market Prediction Result Outcome
Over / Under 2.5 Over 2.5 Over 2.5 (3 goals) ✔ Correct
Both Teams To Score BTTS No Yes ✖ Incorrect
1X2 D. La Serena D. La Serena ✔ Correct
Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:44 UTC Snapshot ID: dp-6365251

Closing Odds 2.79

AI Fair Odds —

CLV +0.0%

Final Result D. La Serena win · D. La Serena 2–1 Nublense

Prediction ✔ Correct

Decision Grade B-

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices D. La Serena (1X2), Draw (1X2) meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on D. La Serena (1X2) by about 3.5 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
D. La Serena (1X2)	41.3	37.8	+3.5
Draw (1X2)	29.1	27.7	+1.3
Nublense (1X2)	29.6	34.5	-4.8
Over 2.5 goals	48.4	47.7	+0.7
Under 2.5 goals	51.6	52.3	-0.7

What this means

In plain terms: the model lands near 41.3% on D. La Serena (1X2), while the closing snapshot implied about 37.8%. The difference — about 3.5 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table

Market	Early (PRE30)	Closing (PRE1)
D. La Serena (1X2)	2.55	2.55
Draw (1X2)	3.47	3.47
Nublense (1X2)	2.79	2.79
Over 2.5 goals	2.03	2.03
Under 2.5 goals	1.85	1.85

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

League: Primera División
Fixture: D. La Serena vs Nublense
Kickoff: 2026-09-06 15:30:00
1X2 (model): Home 41.3% · Draw 29.0% · Away 29.6%
xG (showing): D. La Serena 1.45 — Nublense 1.16 (total xG ≈ 2.61)
Value headline: None (actionable) — best tracked EV is about +0.1%, still below the +2.0% minimum for a headline / default stake (no default bet).
Structural leans (not bets): Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
BTTS (model): Yes N/A · No N/A
Correct score (top bin): N/A

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

Price movement: implied probabilities and EV move with odds.
Sample / data gaps: low-information leagues widen forecast bands.
In-play state: goals and red cards are not modelled here.
Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 28, 2026 (UTC)

Explore More Predictions Content

Get Premium Predictions for D. La Serena & Nublense!

Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.

Subscribe Now

Back to Statistics

Primera División — Standings

#	TEAM	MP	W	D	L	PTS
1	Colo Colo	23	17	3	3	54
2	U. Catolica	23	13	3	7	42
3	Universidad de Chile	23	12	6	5	42
4	Everton de Vina	23	10	6	7	36
5	Palestino	23	11	3	9	36
6	Deportes Limache	23	10	3	10	33
7	Nublense	23	8	8	7	32
8	Concepción	23	9	4	10	31
9	D. La Serena	23	7	9	7	30
10	Coquimbo Unido	22	8	5	9	29
11	A. Italiano	23	7	7	9	28
12	O'Higgins	23	8	3	12	27
13	Huachipato	21	7	4	10	25
14	Cobresal	23	7	3	13	24
15	Universidad de Concepcion	22	6	4	12	22
16	Union La Calera	23	4	5	14	17

#	TEAM	MP	GS	GC	+/-	PTS
1	U. Catolica	23	50	33	+17	42
2	Colo Colo	23	48	22	+26	54
3	Deportes Limache	23	43	35	+8	33
4	Everton de Vina	23	37	25	+12	36
5	Palestino	23	36	33	+3	36
6	Universidad de Chile	23	35	19	+16	42
7	D. La Serena	23	34	38	-4	30
8	Cobresal	23	34	44	-10	24
9	Coquimbo Unido	22	31	31	0	29
10	Huachipato	21	29	39	-10	25
11	Nublense	23	28	31	-3	32
12	O'Higgins	23	28	36	-8	27
13	A. Italiano	23	26	31	-5	28
14	Concepción	23	25	26	-1	31
15	Union La Calera	23	19	40	-21	17
16	Universidad de Concepcion	22	17	37	-20	22

#	TEAM	MP	xG	xGC	+/-	PTS
1	U. Catolica	23	1.5	1.2	+0.3	42
2	Nublense	23	1.2	1.5	-0.3	32
3	Colo Colo	23	—	—	—	54
4	Universidad de Chile	23	—	—	—	42
5	Everton de Vina	23	—	—	—	36
6	Palestino	23	—	—	—	36
7	Deportes Limache	23	—	—	—	33
8	Concepción	23	—	—	—	31
9	D. La Serena	23	—	—	—	30
10	Coquimbo Unido	22	—	—	—	29
11	A. Italiano	23	—	—	—	28
12	O'Higgins	23	—	—	—	27
13	Huachipato	21	—	—	—	25
14	Cobresal	23	—	—	—	24
15	Universidad de Concepcion	22	—	—	—	22
16	Union La Calera	23	—	—	—	17

Chile. Primera División Predictions

Universidad de Concepcion

Huachipato

Oct 02

1.33 : 1.36