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| Date | Match | Score |
|---|---|---|
| 13.06.2026 | Yichun Grand Tiger - Xiamen Feilu | 1 : 0 |
| Date | Match | Score | Res |
|---|---|---|---|
| 16.08.2026 | Jiangxi Liansheng - Xiamen Feilu | 0 - 2 | W |
| 08.08.2026 | Xiamen Feilu - Guangzhou Dandelion | 0 - 0 | D |
| 02.08.2026 | Chengdu Rongcheng II - Xiamen Feilu | 5 - 1 | L |
| 29.07.2026 | Wuhan Three Towns II - Xiamen Feilu | 2 - 1 | L |
| 26.07.2026 | Xiamen Feilu - Langfang Glory City | 1 - 2 | L |
| Date | Match | Score | Res |
|---|---|---|---|
| 16.08.2026 | Yichun Grand Tiger - Shenzhen 2028 | 1 - 1 | D |
| 09.08.2026 | Guangdong Mingtu - Yichun Grand Tiger | 0 - 0 | D |
| 01.08.2026 | Yichun Grand Tiger - Jiangxi Liansheng | 1 - 1 | D |
| 25.07.2026 | Guangzhou Dandelion - Yichun Grand Tiger | 0 - 0 | D |
| 18.07.2026 | Yichun Grand Tiger - Hubei Chufeng Heli | 1 - 2 | L |
The upcoming match between Xiamen Feilu and Yichun Grand Tiger is scheduled for 23.08.2026 11:30 in League Two. The analysis uses only stored statistics, form, head-to-head records, trend percentages and active Premium market signals. It does not guarantee a particular result.
Xiamen Feilu recorded 2 wins, 4 draws and 4 losses across the last 10 completed matches. The newest-to-oldest result sequence is WDLLLDDWDL. The averages are 0.70 goals scored and 1.10 goals conceded per match. Both teams scored in 40% of those matches, while 40% finished with over 2.5 goals. Yichun Grand Tiger recorded 3 wins, 5 draws and 2 losses across the last 10 completed matches. The newest-to-oldest result sequence is DDDDLDLWWW. The averages are 0.80 goals scored and 0.70 goals conceded per match. Both teams scored in 50% of those matches, while 30% finished with over 2.5 goals.
Across the last 1 head-to-head matches, Xiamen Feilu recorded 0 wins, there were 0 draws, and Yichun Grand Tiger recorded 1 wins. The average total was 1 goals per match. Both teams scored in 0% of those matches, while 0% finished with over 2.5 goals.
The highest stored values are: Under 3.5 goals — 90%; Over 1.5 goals — 70%; Under 2.5 goals — 70%; Over 0.5 first-half goals — 60%; Both teams to score — 50%. They are statistical indicators and are not automatically converted into a prediction.
The PMV3 model classifies the leading outcome as Xiamen Feilu or draw (1X) with 81% confidence. The stored fair probabilities for home, draw and away are 53.83%, 27.24% and 18.93%. The model momentum difference is 34.91 points in favour of Xiamen Feilu. The input data quality score is 96/100. The stored price for the selected market is 1.12 with Bet365. The stored estimated EV is -9.20%. Despite the model probability, the price is marked NO_VALUE. The signal is therefore not treated automatically as a value bet.
The normalized movement for the Asian pair Xiamen Feilu 0 / Yichun Grand Tiger 0 supports Yichun Grand Tiger by an average 2.87 percentage points across 2 bookmakers (Pinnacle, 1xBet) with up to 2 stored observations. This is a market signal, not a result guarantee.
1 active football Premium signals are stored for this fixture. Odd/Even — Odd (odds 2.02).
The discipline profile for Xiamen Feilu at home is based on 7 matches. The team averages 1.57 yellow cards, 0.00 red cards and 1.57 total cards per match. At least 1, 2, 3, 4 and 5 cards were recorded in 100.0%, 57.1%, 0.0%, 0.0% and 0.0% of those matches respectively, while a red card occurred in 0.0%. Season card data is available for 15 of 21 completed matches (71.4% coverage). The discipline profile for Yichun Grand Tiger away from home is based on 6 matches. The team averages 2.00 yellow cards, 0.00 red cards and 2.00 total cards per match. At least 1, 2, 3, 4 and 5 cards were recorded in 100.0%, 100.0%, 0.0%, 0.0% and 0.0% of those matches respectively, while a red card occurred in 0.0%. Season card data is available for 13 of 20 completed matches (65.0% coverage).
The match between Xiamen Feilu and Yichun Grand Tiger ended 0-2. The game produced 2 goals in total. The first half contained 0 goals. The following review compares the final result only with historical data, the discipline profile, trend values and Premium signals locked before kickoff.
Before kickoff, the stored trend indicated Over 1.5 at 70%. The actual outcome was Over 1.5. The stored trend was confirmed by the result. Before kickoff, the stored trend indicated Under 2.5 at 70%. The actual outcome was Under 2.5. The stored trend was confirmed by the result. Before kickoff, the stored trend indicated Under 3.5 at 90%. The actual outcome was Under 3.5. The stored trend was confirmed by the result. Before kickoff, the stored trend indicated Over 0.5 HT at 60%. The actual outcome was Under 0.5 HT. The stored trend was not confirmed by the result. Before kickoff, the stored trend indicated Under 1.5 HT at 70%. The actual outcome was Under 1.5 HT. The stored trend was confirmed by the result.
Before kickoff, the discipline profile for Xiamen Feilu at home was based on 7 matches, with averages of 1.57 yellow cards, 0 red cards and 1.57 total cards per match. In this game, Xiamen Feilu received 2 yellow cards and 0 red cards, 2 in total. That was 0.43 cards above the stored average. In the pre-match sample, 3+ cards occurred in 0% of matches, 5+ in 0%, and a red card in 0%. Before kickoff, the discipline profile for Yichun Grand Tiger away from home was based on 6 matches, with averages of 2 yellow cards, 0 red cards and 2 total cards per match. In this game, Yichun Grand Tiger received 0 yellow cards and 0 red cards, 0 in total. That was 2 cards below the stored average. In the pre-match sample, 3+ cards occurred in 0% of matches, 5+ in 0%, and a red card in 0%.
The Asian-handicap signal locked before kickoff supported Yichun Grand Tiger at 0. The stored market movement was 2.87 percentage points across 2 bookmakers. At the final score of 0-2, the line settled as a full win. The Asian-handicap signal was confirmed.
The stored Premium market was Odd at odds of 2.02. The actual market outcome was Even. The Premium signal was not confirmed.
Of 7 verifiable pre-match indicators, 5 aligned with the final result and 2 were not confirmed. This is a post-match verification of data stored before kickoff, not a revision of the analysis after the match ended.