USL Championship · Score Research
07-26 07:00 CST · USL Championship · Separate HT/FT models
Miami FC
Home side / left market direction
Tampa Bay Rowdies
Away side / right market direction
Five-Factor Read
The handicap leans toward Tampa Bay Rowdies; the market prices the away side as stronger.
HT first pick is 0:0 (56.9%); HT draw probability is 62.9%, so the model still respects early caution.
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: 客队防守稳固且整体实力占优,主队进攻乏力,预计客队小胜可能性大。
Venue: venue pending. Non-neutral venue. Weather/temperature: 间中有云, 28°C. The schedule marks this as non-neutral, so home/away identity remains a weak background factor. Higher temperature raises fatigue risk and late-game tempo drop risk. Together with the totals line, the venue layer can support a more open upper tail.
86 comparable matches; useful for probability ranking
Full-Time Score Distribution
Half-Time Score Distribution
Key Variables
Pre-Match Update · Market Movement
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: 1:2
Predicted side: Tampa Bay Rowdies win · Actual side: Tampa Bay Rowdies win · side aligned
Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Miami FC vs Tampa Bay Rowdies is 1:2 (14.0%). Tampa Bay Rowdies 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: 客队防守稳固且整体实力占优,主队进攻乏力,预计客队小胜可能性大。 HT first pick is 0:0 (56.9%); HT draw probability is 62.9%, 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