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Super League · Regular Season - 1

Chengdu Better City

⚽ Wellington Silva 20' ⚽ Felipe Silva 31' ⚽ H. Hu 45' ⚽ Wellington Silva 63' ⚽ Liao Rongxiang 79'
5:1
FT HT 3 – 1

Sichuan Jiuniu

⚽ A. Ademi 5'

Kick-off

Fri 6 Mar 2026

11:35

Venue

Chengdu Phoenix Hill Sports Park

Competition

Super League

China

Status

FT
📰

Stunning comeback: Chengdu Better City overturn deficit to win 5-1.

📝 Match Report

How It Unfolded

Chengdu Better City came from behind to beat Sichuan Jiuniu 5-1 at Chengdu Phoenix Hill Sports Park, Regular Season - 1, in the Super League. It was 3-1 at the break, with 2 further goals after it. A red card featured along the way. Scorers: A. Ademi (5') · Wellington Silva (20', 63') · Felipe Silva (31') · H. Hu (45') · Liao Rongxiang (79'). That is the bare outline; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Chengdu Better City 1.85 xG and Sichuan Jiuniu 1.17 xG, a combined 3.03. The scoreboard read 5-1 for 6 actual goals. Chengdu Better City beat their projection by 3.1 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Chengdu Better City attack 1.01 / defence 0.91 against Sichuan Jiuniu attack 0.88 / defence 1.01, drawn from 30/30 games (PrevSeason).

On the result, the model split it Chengdu Better City 53% | Draw 23% | Sichuan Jiuniu 24%, with Chengdu Better City to win its most likely call at 53%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 58%. The game delivered 6, so it went over — the model's lean was correct. Over 1.5 had been 80% and landed. Over 3.5 was 36% and came in. On both teams to score, the model sat at 58% and the match saw both sides score — another call in the model's favour. Historically the two sides average 62% Over 2.5 across their same-competition games (Chengdu Better City 60%, Sichuan Jiuniu 63%), a base rate that agreed with today's over. Their combined BTTS history runs at 58%, which matched the both-scored outcome.

Trading Patterns vs Reality

Chengdu Better City's trading profile (60 games, 30 home) set some clear expectations: they score before half-time in 85% of games, and here they did; BTTS lands in 58% of their matches — today it did; they keep a clean sheet 33% of the time, and conceded here.

Sichuan Jiuniu's trading profile (60 games, 30 away) set some clear expectations: they score before half-time in 75% of games, and here they did; BTTS lands in 57% of their matches — today it did.

Form vs Result

On form, Chengdu Better City arrived the stronger side — 1.98 PPG against 0.93. The form guide was vindicated by the result. Chengdu Better City (home/away splits) scored 5 against a 2.23 average — above their attacking norm. Sichuan Jiuniu (home/away splits) shipped 5 against a 1.97 concession average — a leakier day than usual.

In-Play Signals

Chengdu Better City controlled the ball (79%). That matched the side the model favoured, and they converted the territory into the win the numbers expected. Chengdu Better City shot more often (29 to 6, 8 on target). The scoring opened before half-time (3-1 at the interval). 2 of the 6 goals arrived after the restart.

Verdict

Grading the result against the stored data, 4 of 4 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit), form (hit). The data earned its keep here, calling the bulk of the fixture correctly. A comeback of the kind no pre-match model prices cleanly only underlines how much live momentum can override the numbers.

💡 Key Insights

Possession Chengdu Better City dominated possession at 79% — yet the final score may tell a different story.
Shots Chengdu Better City mustered 29 total shots — a significant volume advantage.
Set Pieces The match produced 18 corners combined — set-piece delivery was a key feature of this game.
Prediction Model correctly called Chengdu Better City to win — prediction accuracy confirmed.
Model Over/Under 2.5 landed as modelled — 58% Over 2.5 probability, 6 goals scored.
Model BTTS matched the model — 58% projected, both teams scored.
Trading Trading data backed up — the sides average 62% Over 2.5 historically, and this game went over.

⚡ Key Moments

⚽️
5'
Goal

A. Ademi

A. Ademi found the back of the net to make it 0-1, assisted by Ghojaehmet Shahzat. Breaking the deadlock at this stage was a pivotal moment, handing Sichuan Jiuniu the initiative.

📺
17'
VAR Decision

Card upgrade

The Video Assistant Referee intervened at 17' — Card upgrade. The VAR check confirmed the on-field decision, allowing play to continue.

🟥
18'
Red Card

Zhipeng Jiang

Zhipeng Jiang from Sichuan Jiuniu was dismissed in the 18', leaving their side to play out the remainder of the game with ten men. This red card fundamentally altered the tactical shape and would prove a significant factor in how the match concluded.

⚽️
20'
Goal

Wellington Silva

Wellington Silva found the back of the net to make it 1-1, assisted by Felipe Silva. This equaliser reset the contest and injected new urgency into the game.

⚽️
31'
Goal

Felipe Silva

Felipe Silva found the back of the net to make it 2-1. Breaking the deadlock at this stage was a pivotal moment, handing Chengdu Better City the initiative.

⚽️
45'
Goal

H. Hu

H. Hu found the back of the net to make it 3-1, assisted by Wang Dongsheng. This extended Chengdu Better City's lead to 2 and effectively made the result safe.

⚽️
63'
Goal

Wellington Silva

Wellington Silva found the back of the net to make it 4-1, assisted by Wang Dongsheng. This extended Chengdu Better City's lead to 3 and effectively made the result safe.

⚽️
79'
Goal

Liao Rongxiang

Liao Rongxiang found the back of the net to make it 5-1, assisted by Romulo. This extended Chengdu Better City's lead to 4 and effectively made the result safe.

📊 Statistics

Chengdu Better City Sichuan Jiuniu
79% Ball Possession 21%
29 Total Shots 6
8 Shots on Goal 3
14 Shots off Goal 3
7 Blocked Shots 0
14 Corner Kicks 4
Offsides
7 Fouls 6
1 Yellow Cards 0
0 Red Cards 1
2 Goalkeeper Saves 3
645 Total passes 183
576 Passes accurate 107
89% Passes % 58%

⚠️ This match report is generated algorithmically from official fixture data. All statistics, events and player data are sourced from the match record. Analysis is for informational purposes only.