USL Championship · Score Research

07-19 07:00 CST · USL Championship · Separate HT/FT models

Detroit City

Home side / left market direction

Full-time first pick 2:1 Probability 16.2% · Low-total exact zone Low-total exact zone: 2:1 16.2%; 1:0 7.8%; 3:1 7.4% Half-time first pick 0:0 (60.6%)

Indy Eleven

Away side / right market direction

Five-Factor Read

1. Market strength Detroit City side rates higher

The handicap leans toward Detroit City; the market prices the home side as stronger.

2. Form and pace 0:0

HT first pick is 0:0 (60.6%); HT draw probability is 64.9%, so the model still respects early caution.

3. AI Sidecar Read FT total 2.50

This match uses a DeepSeek AI sidecar factor. The AI signal only applies a small candidate-score reweighting and does not override the market/history main model by itself. AI note: 主队防守稳、节奏慢，客队攻击弱，主胜小比分概率高。

4. Venue factor non-neutral / normal weather

Venue: 奥本山宫殿球场. Non-neutral venue. Weather/temperature: 天晴, 26℃～27℃. The schedule marks this as non-neutral, so home/away identity remains a weak background factor. Weather and temperature do not show a clear tempo-suppression signal.

5. Sample and soft factors Usable sample

82 comparable matches; useful for probability ranking

Full-Time Score Distribution

2:1 16.2%

1:0 7.8%

3:1 7.4%

2:0 6.2%

4:1 3.6%

3:0 3.5%

3:2 3.0%

4:0 1.4%

FT market: side line 0.75 · total 2.50 · Bucket ah_ou:0.75/2.5

Score cluster: Low-total exact zone: 2:1 16.2%; 1:0 7.8%; 3:1 7.4%

Half-Time Score Distribution

0:0 60.6%

1:0 20.0%

0:1 9.0%

1:1 4.1%

2:0 2.6%

0:2 1.2%

2:1 0.9%

3:0 0.6%

HT market: side line 0.25 · total 1.00

Detroit City win53.9%

Draw29.6%

Indy Eleven win16.5%

Detroit City expected goals1.86

Indy Eleven expected goals1.11

Under 3.566.0%

FT temperature0.95

Empirical weight50.6%

Sample size82

Europe 1X2home 50.7% / draw 25.9% / away 23.5%

Key Variables

First-goal path Detroit City benefits most from opening the scoring; if HT stays 0:0, the FT distribution compresses toward lower scores.

Deciding factor Draw probability is 29.6%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 66.0%; if the live total moves up materially, rerun the model.

Pre-Match Update · Market Movement

Published 2026-08-05 01:19:19 CST (started/finished about 402h 20m ago) | Snapshot window: pending -> 2026-08-05 01:19:19

First snapshotFT handicap 待补 · total 待补

Latest marketFT handicap 0.75 · total 2.5

Movement: FT handicap data pending; FT total data pending; HT handicap data pending; HT total data pending.

Pre-match note: Market snapshots are thin; refresh Feijing data again before publishing the final pre-match version.

Final Read: 2:1

Predicted side: Detroit City win · Actual side: Detroit City win · side aligned

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Detroit City vs Indy Eleven is 2:1 (16.2%). Detroit City side rates higher. This match uses a DeepSeek AI sidecar factor. The AI signal only applies a small candidate-score reweighting and does not override the market/history main model by itself. AI note: 主队防守稳、节奏慢，客队攻击弱，主胜小比分概率高。 HT first pick is 0:0 (60.6%); HT draw probability is 64.9%, so the model still respects early caution. Exact-score outputs are probability rankings for pre-match research and review.

Risk note: exact scores are low-hit-rate events. The model output is a probability ranking, not a certainty; late market moves, lineups, red cards and early goals can reshape the distribution.

Sources

Feijing · fixtures, results, Asian handicap, totals, half-time markets, Europe 1X2 · Local history database · historical market lines, full-time scores, half-time scores · DeepSeek · AI sidecar context, bounded candidate reweighting only