· AFC Champions League Two
Machida Zelvia
ATT
5/10
DEF
6/10
vs
Shanghai Shenhua
5/10
ATT
6/10
DEF
Programmata· Thu 5 Nov · 10:00
Migliore scelta
GOL DI ENTRAMBE
53%
Risultato esatto
Eccellente
1-1
11.7%
8.57
Eccellente
1-0
10.7%
9.34
2-1
9.6%
10.46
2-0
8.8%
11.39
0-1
7.1%
14.06
0-0
6.5%
15.31
1-2
6.4%
15.75
3-1
5.2%
19.13
150%
1.99TOP
X25%
4.07
225%
3.96
1X75%
X250%
1275%
Probable XI4-4-2
Koch
Okamura
Shoji
Mochizuki
Nakamura
Masuyama
Mayaka
Tokumura
Mae
Erik
Ogawa
Impact Player Hot Head
Formazioni non ancora annunciate — analisi completa della rosa sotto
Machida Zelvia18 giocatori
57.8/ 99Forte
Migliori
1Koki OgawaFWD77
2Tete YengiFWD75
3Ibrahim DreševićDEF73
Shanghai Shenhua18 giocatori
50.7/ 99Medio
Migliori
1Tianyi GaoMID63
2Liu ChengyuFWD61
3Shunkai JinDEF56
Machida Zelvia32
PlayerValutazioneImpattoAggressivitàDisciplina
Koki Ogawa77875850
Tete Yengi75795961
Ibrahim Drešević73616078
Hiroyuki Mae64646656
Ryohei Shirasaki63604867
Yuki Soma63665356
Keiya Sento60525467
Kim Min-Tae58455472
Mitchell Duke56455283
Henry Heroki Mochizuki55455761
Thomas Ouwejan55485461
Tatsuya Morita54563950
Kosei Tani52539950
Shanghai Shenhua32
PlayerValutazioneImpattoAggressivitàDisciplina
Tianyi Gao63535572
Liu Chengyu61575667
Shunkai Jin56614950
Zexiang Yang56456061
Zhen Ma53533950
Shinichi Chan53524956
Shenglong Jiang51544750
Yang Shuai51514456
João Carlos Teixeira51524950
Rafael Ratão51514356
Xue Qinghao50504550
Xi Wu49494950
Haijian Wang48464256
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Koki OgawaMachida Zelvia
87
2
Tete YengiMachida Zelvia
79
3
Yuki SomaMachida Zelvia
66
4
Liu ChengyuShanghai Shenhua
57
5
Rafael RatãoShanghai Shenhua
51
Muro
Migliori difensori
1
Ibrahim DreševićMachida Zelvia
61
2
Shunkai JinShanghai Shenhua
61
3
Shenglong JiangShanghai Shenhua
54
4
Shinichi ChanShanghai Shenhua
52
5
Yang ShuaiShanghai Shenhua
51
Controllo
Migliori registi
1
Hokuto ShimodaMachida Zelvia
70
2
Hiroyuki MaeMachida Zelvia
64
3
Ryohei ShirasakiMachida Zelvia
60
4
Tianyi GaoShanghai Shenhua
53
5
Keiya SentoMachida Zelvia
52
Cattivi ragazzi
Più propensi ai cartellini
1
Hokuto ShimodaMachida Zelvia
12
2
Wilson ManafáShanghai Shenhua
25
3
Kosei TaniMachida Zelvia
50
4
Tatsuya MoritaMachida Zelvia
50
5
Daihachi OkamuraMachida Zelvia
50
Classifica potenza
Più forti in assoluto
1
Koki OgawaMachida Zelvia
77
2
Tete YengiMachida Zelvia
75
3
Ibrahim DreševićMachida Zelvia
73
4
Hiroyuki MaeMachida Zelvia
64
5
Ryohei ShirasakiMachida Zelvia
63

Domande frequenti

Our Poisson model calculates the probability of every possible scoreline for Machida Zelvia vs Shanghai Shenhua based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Machida Zelvia vs Shanghai Shenhua match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Machida Zelvia has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Machida Zelvia vs Shanghai Shenhua without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Machida Zelvia a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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