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Changchun Xidu vs Langfang Glory City

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

DDDDL
-

Langfang Glory City

DDLWD
Date: 2025-08-02
Time: 08:00
Venue: Not Available Yet

Predictions:

MarketPredictionOddResult
Both Teams Not To Score In 1st Half88.20% Make Bet
Both Teams Not To Score In 2nd Half85.90% Make Bet
Over 0.5 Goals HT73.10% 1.44 Make Bet
Under 2.5 Goals77.10% 1.67 Make Bet
Over 1.5 Goals65.70% 1.36 Make Bet
Home Team Not To Score In 2nd Half60.40% Make Bet
Home Team To Score In 1st Half58.40% Make Bet
Away Team Not To Score In 1st Half58.60% Make Bet
Sum of Goals 2 or 357.50% Make Bet
Both Teams Not to Score55.20% 1.60 Make Bet
Avg. Total Goals2.20% Make Bet
Avg. Goals Scored1.80% Make Bet
Avg. Conceded Goals1.70% Make Bet

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