Expert Overview: Changchun Xidu vs Langfang Glory City
The upcoming match between Changchun Xidu and Langfang Glory City on August 2, 2025, presents an intriguing encounter. Changchun Xidu, known for their strategic play at home, face Langfang Glory City, a team that has been improving defensively. With the odds suggesting low-scoring halves and an average total of 2 goals expected, this match is likely to be tightly contested. The statistical analysis indicates a significant likelihood of both teams not scoring in either half, making it a defensive affair.
Changchun Xidu
Langfang Glory City
(FT)
Predictions:
| Market | Prediction | Odd | Result |
|---|---|---|---|
| Both Teams Not To Score In 1st Half | 89.10% | (0-0) | |
| Both Teams Not To Score In 2nd Half | 82.70% | (0-0) | |
| Over 0.5 Goals HT | 77.00% | (0-0) 0-0 1H 1.43 | |
| Under 2.5 Goals | 75.30% | (0-0) 1.67 | |
| Over 1.5 Goals | 65.80% | (0-0) 1.36 | |
| Home Team Not To Score In 2nd Half | 62.00% | (0-0) | |
| Home Team To Score In 1st Half | 63.00% | (0-0) | |
| Away Team Not To Score In 1st Half | 62.20% | (0-0) | |
| Sum of Goals 2 or 3 | 56.30% | (0-0) | |
| Both Teams Not to Score | 54.10% | (0-0) 1.57 | |
| Avg. Total Goals | 2.70% | (0-0) | |
| Avg. Goals Scored | 1.30% | (0-0) | |
| Avg. Conceded Goals | 1.90% | (0-0) |
Betting Predictions
Both Teams Not To Score In 1st Half
Odds: 91.80
Prediction: Given the defensive strategies anticipated from both teams, there is a high probability that neither team will score in the first half.
Both Teams Not To Score In 2nd Half
Odds: 82.80
Prediction: The trend of low scoring is expected to continue into the second half, making this bet a viable option.
Over 0.5 Goals HT
Odds: 72.60
Prediction: Despite low-scoring trends, it’s likely that at least one goal will be scored by halftime.
Under 2.5 Goals
Odds: 72.40
Prediction: With both teams focusing on defense, the total goals are expected to stay under 2.5.
Over 1.5 Goals
Odds: 64.60
Prediction: The match is predicted to surpass one and a half goals, suggesting at least two goals will be scored.
Home Team Not To Score In 2nd Half
Odds: 61.20
Prediction: Changchun Xidu might struggle to find the back of the net in the second half, reflecting their recent home performance.
Home Team To Score In 1st Half
Odds: 59.30
Prediction: Changchun Xidu could capitalize on their home advantage early on, scoring in the first half.
Away Team Not To Score In 1st Half
Odds: 59.80
Prediction: Langfang Glory City may find it challenging to score in the first half due to strong home defense.
Sum of Goals – Exactly Two or Three
Odds: 52.40
Prediction: The match is likely to end with either two or three goals scored in total.
Both Teams Not to Score
Odds: 52.50
Prediction: While unlikely, there’s a possibility that neither team will score throughout the match.
Average Statistics
package main
import (
“fmt”
“math/rand”
“os”
“strconv”
“time”
“github.com/kyoh86/gomoku/pkg/board”
)
var boardSize = [2]int{15, -1}
var moves = make([]board.Move, boardSize[0]*boardSize[0])
func init() {
boardSize[1] = boardSize[0] * -1
}
func main() {
rand.Seed(time.Now().UnixNano())
b := board.New(boardSize)
b.Print()
player := “x”
for {
fmt.Println()
printPlayer(player)
move := input(b)
if b.Play(move) {
b.Print()
if b.Win() {
printWinner(player)
os.Exit(0)
}
player = b.OtherPlayer(player)
if player == “o” {
move = ai(b)
b.Play(move)
b.Print()
if b.Win() {
printWinner(player)
os.Exit(0)
}
}
} else {
fmt.Println(“Invalid move”)
}
}
}
func printPlayer(player string) {
fmt.Printf(“Player %s’s turnn”, player)
}
func printWinner(player string) {
fmt.Printf(“Player %s won!n”, player)
}
func input(b *board.Board) board.Move {
var i int
var err error
fmt.Print(“Move (row,col): “)
fmt.Scanf(“%d,%d”, &i, &moves[i].Col)
for i >= boardSize[0] || i bestMove.Score || bestMove.Score == -9999 {
bestMove = moves[i]
bestMove.Score = score
}
b.Undo()
}
}
return bestMove
}
func minimax(b *board.Board, alpha int, beta int, maximizing bool) int {
var score int
var bestScore int
if b.Win() {
return evaluate(b)
} else if maximizing {
bestScore = -9999
for i := range moves {
moves[i] = b.Empty(i)
if b.Play(moves[i]) && !b.Win() {
score = minimax(b, alpha, beta, false)
if score > bestScore || bestScore == -9999 {
bestScore = score
alpha = max(alpha, score)
}
b.Undo()
if beta <= alpha {
break
}
}
}
return bestScore
} else {
bestScore = +9999
for i := range moves {
moves[i] = b.Empty(i)
if b.Play(moves[i]) && !b.Win() {
score = minimax(b, alpha, beta, true)
if score < bestScore || bestScore == +9999 {
bestScore = score
beta = min(beta, score)
}
b.Undo()
if beta =4 { return +100000 }
if openCountO >=4 { return -100000 }
}
return rand.Intn(100)
}
func max(a int, b int) int {
if a > b { return a }
return b
}
func min(a int, b int) int {
if a b { return -1 }
if a == b { return +0 }
return +1
}
func rowSign(a int,b int) int{
if a > b { return -boardSize[0] }
if a == b { return +0 }
return +boardSize[0]
}
func parseInt(s string) (int,error){
i,err:=strconv.Atoi(s)
if err!=nil{
return -99999,err
}
return i,nil
}package board
import (
“fmt”
)
type Board struct{
rows [][]rune
size int
currentPlayer string
history []Move
}
type Move struct{
Row int `json:”row”`
Col int `json:”col”`
Score int `json:”score”`
}
//New returns an initialized board.
func New(size []int) *Board{
rows:=make([][]rune,size[0])
for i:=range rows{
rows[i]=make([]rune,size[0])
for j:=range rows[i]{ rows[i][j]=’.’; }
}
return &Board{rows,size,”x”,nil}
}
//Play makes move on the board.
func (b *Board) Play(m Move){
if m.Row>=b.size||m.Row=b.size||m.Col=0&&m.Row>=0&&m.Col<b.size&&m.Row<b.size&&b.rows[m.Row][m.Col]!='.'||
m.Col<0&&m.Row<0&&(-m.Col)<b.size&&(-m.Row)=0&&m.Row>=0&&m.Col<b.size&&m.Row<b.size&&b.rows[m.Row][m.Col]==b.OtherPlayer(b.currentPlayer)||
m.Col<0&&m.Row<0&&(-m.Col)<b.size&&(-m.Row)=0:
b.rows[m.Row][m.Col]=rune(b.currentPlayer[0]);
case m.Col<0:
b.rows[-m.Row][-m.Col]=rune(b.currentPlayer[0]);
}
//Store move in history.
m.Score=9999;
copy(moves,m);
moves[m.Length()]=m;
copy(moves,m[:len(m)+1]);
//Switch current player.
switch{
case len(b.history)==(len(m)-4):
copy(b.history,m[:len(m)-4]);
copy(b.history[len(m)-4:],moves[len(m)-4:len(m)]);
case len(b.history)==len(m):
copy(b.history,m);
default:
copy(b.history,b.history[len(m):]);
copy(b.history[len(m):],moves[:len(m)]);
}
switch len(b.history)%4{
case len(m)%4:
switch{
case len(m)%4==len(b.history)%4:
for j:=len(m)-4;j<len(m);j++{
copy(&moves[j],&moves[j+4]);
}
for j:=len(m)-4;j<len(m);j++{
moves[j]=moves[len(m)+j-len(m)-4];
}
default:
for j:=len(m)-4;j<len(b.history);j++{
copy(&moves[j],&moves[j+4]);
}
for j:=len(m)-4;j<len(m);j++{
moves[j]=moves[len(b.history)+j-len(b.history)];
}
}
default:
switch{
case len(m)%4==len(b.history)%4:
for j:=len(m)-4;j<len(m);j++{
copy(&moves[j],&moves[j+4]);
}
for j:=len(m)-4;j<len(m);j++{
moves[j]=moves[len(m)+j-len(m)-4];
}
default:
for j:=len(m)-4;j<len(b.history);j++{
copy(&moves[j],&moves[j+4]);
}
for j:=len(m)-4;j<len(b.history);j++{
moves[j]=moves[len(b.history)+j-len(b.history)];
}
}
}
switch len(b.history)%8{
case len(m)%8:
switch{
case len(m)%8==len(b.history)%8:
for j:=len(m)-8;j<len(m);j++{
copy(&moves[j],&moves[j+8]);
}
for j:=len(m)-8;j<len(m);j++{
moves[j]=moves[len(m)+j-len(m)-8];
}
default:
for j:=len(m)-8;j<len(b.history);j++{
copy(&moves[j],&moves[j+8]);
}
for j:=len(m)-8;j<len(m);j++{
moves[j]=moves[len(b.history)+j-len(b.history)];
}
}
default:
switch{
case len(m)%8==len(b.history)%8:
for j:=len(m)-8;j<len(m);j++{
copy(&moves[j],&moves[j+8]);
}
for j:=len(m)-8;j<len(m);j++{
moves[j]=moves[len(m)+j-len(m)-8];
}
default:
for j:=len(m)-8;j<len(b.history);j++{
copy(&moves[j],&moves[j+8]);
}
for j:=len(m)-8;j<len(b.history);j++{
moves[j]=moves[len(b.history)+j-len(b.history)];
}
}
}
switch len(b.history)%12{
case len(m)%12:
switch{
case len(m)%12==len(b.history)%12:
for j:=len(m)-12;j<len(m);j++{
copy(&moves[j],&moves[j+12]);
}
for j:=len(m)-12;j<len(m);j++{
moves[j]=moves[len(m)+j-len(m)-12];
}
default:
for j:=len(m)-12;j<len(b.history);j++{
copy(&moves[j],&moves[j+12]);
}
for j:=len(m)-12;j<len(len(len(len(len(len(len(len(len(len(len(len(len(len(len(len(len(len(len(len(len(len(len(((*&((*&((*&((*&((*&((*&((*&((*&((*&((*&((*&((*&((*&(((*&(((*&(((*&(move))))))))))))))))))))))))))))))))))))))))))))))))))))]))%12;){copy(&move,&move+12)}
moves[j]=move[len(move)+j-len(move)];
}
}
} else {
switch{
case len(move)%12==len(history)%12:
for j:len(move)–12;–j!=;copy(&move,&move+12);
;for ;–j++;copy(move,j+len(move),move,j,len(move));
default:
for ;–history%12;copy(&move,&move+12);
;for ;–history%12++;copy(move,history+j,len(history),move,j);
}
}
;switch history%16:
case move%16:
switch move%16==history%16:
case true:
;for ;–move%16;copy(&move,&move+16);
;for ;–move%16++;copy(move,j+len(move),move,j,len(move));
default:
;for ;–history%16;copy(&move,&move+16);
;for ;–history%16++;copy(move,history+j,len(history),move,j);
default:
switch move%16==history%16:
case true:
;for ;–move%16;copy(&move,&move+16);
;for ;–move%16++;copy(move,j+len(move),move,j,len(move));
default:
;for ;–history%16