· Primera B
Tigres
ATT
4/10
DEF
6/10
0:0
皇家喀他赫纳
6/10
ATT
6/10
DEF
全场
最佳推荐
小 2.5
66%
精确比分47′
顶级
1-1
13.5%
6.50
顶级
1-0
13.2%
8.50
0-1
12.9%
7.50
0-0
12.5%
7.00
2-1
7.1%
13.00
1-2
6.9%
12.00
2-0
6.9%
13.00
0-2
6.6%
11.00
136%
2.82TOP
X30%
3.32
234%
2.91
1X66%
X264%
1270%
xG — Expected Goals
Tigres
Tigres exp
皇家喀他赫纳
皇家喀他赫纳 exp
goal
每15分钟
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Tigres
皇家喀他赫纳
Probable XI4-4-2
Mateus
Al-Haj
Caviedes
Viáfara
Carabalí
Cuadros
Fajardo
Caicedo
Ávila
Ibarra
Dawson
Impact Player Hot Head
阵容尚未公布 — 下方为完整球队分析
Tigres29 球员
58.4/ 99强
最佳
1Jhon MartínezFWD82
2Jhon Alejandro Lopera GaviriaDEF81
3Wakner Stiwar MenaFWD80
皇家喀他赫纳38 球员
59.5/ 99强
最佳
1F. MonteroFWD95
2Jarlan BarreraMID91
3Jhojan Camilo Nieva RoldánMID76
Tigres51
Player综合评分影响力侵略性纪律
Jhon Martínez82983950
Jhon Alejandro Lopera Gaviria81764691
Wakner Stiwar Mena80766878
Andrés Cuadros78638291
Miguel Alvarez76606991
Jesús Cano69466391
Ricardo Rosales67439991
Santiago Guzmán65407591
Duván Viáfara64494191
Jhon Fredys Rentería Cordoba6493961
Omar Preciado64533791
Yimmer Salas64513891
Santiago Rativa61485289
皇家喀他赫纳48
Player综合评分影响力侵略性纪律
F. Montero95956491
Jarlan Barrera91994289
Jhojan Camilo Nieva Roldán76694391
C. Paternina75624991
Marlon Balanta75586991
Gabriel Erazo75684191
Edison López74565991
Jhon Gamboa72772791
Guillermo Tegüé68574291
Luis Guevara67435891
J. Rodríguez66427091
Ronaldo Lora65425291
Mauro Manotas6474967
球员排名
狙击手
最大进球威胁
1
Jhon MartínezTigres
98
2
F. Montero皇家喀他赫纳
95
3
Wakner Stiwar MenaTigres
76
4
Mauro Manotas皇家喀他赫纳
74
5
Álvaro Meléndez皇家喀他赫纳
60
城墙
最佳后卫
1
Jhon Fredys Rentería CordobaTigres
93
2
Jhon Gamboa皇家喀他赫纳
77
3
Jhon Alejandro Lopera GaviriaTigres
76
4
Dilan Ortíz皇家喀他赫纳
65
5
C. Paternina皇家喀他赫纳
62
控制
最佳组织者
1
Jarlan Barrera皇家喀他赫纳
99
2
Jhojan Camilo Nieva Roldán皇家喀他赫纳
69
3
Gabriel Erazo皇家喀他赫纳
68
4
Andrés CuadrosTigres
63
5
Miguel AlvarezTigres
60
坏小子
最可能吃牌
1
Samuel Alejandro Flórez SeguraTigres
1
2
Jimmy Congo皇家喀他赫纳
1
3
Kevin LópezTigres
50
4
Joseph RuízTigres
50
5
Brandón Andrés Mejía FajardoTigres
50
力量排名
综合最强
1
F. Montero皇家喀他赫纳
95
2
Jarlan Barrera皇家喀他赫纳
91
3
Jhon MartínezTigres
82
4
Jhon Alejandro Lopera GaviriaTigres
81
5
Wakner Stiwar MenaTigres
80

常见问题

Our Poisson model calculates the probability of every possible scoreline for Tigres vs 皇家喀他赫纳 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 Tigres vs 皇家喀他赫纳 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 Tigres 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 Tigres vs 皇家喀他赫纳 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 Tigres 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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