diff --git a/server/modules/user/controller/user_major_controller.go b/server/modules/user/controller/user_major_controller.go
index 40db3ba..d15b049 100644
--- a/server/modules/user/controller/user_major_controller.go
+++ b/server/modules/user/controller/user_major_controller.go
@@ -60,10 +60,15 @@ func (ctrl *UserMajorController) List(c *gin.Context) {
 		return
 	}
 	schoolMajorQuery.UserScoreVO = userScoreVO
-	items, total, err := ctrl.yxCalculationMajorService.RecommendMajorList(schoolMajorQuery)
+	items, total, probCount, err := ctrl.yxCalculationMajorService.RecommendMajorList(schoolMajorQuery)
 	if err != nil {
 		common.Error(c, 500, err.Error())
 		return
 	}
-	common.SuccessPage(c, items, total, page, size)
+	newMap := map[string]interface{}{
+		"items":     items,
+		"total":     total,
+		"probCount": probCount,
+	}
+	common.SuccessPage(c, newMap, total, page, size)
 }
diff --git a/server/modules/yx/dto/probability_count_dto.go b/server/modules/yx/dto/probability_count_dto.go
new file mode 100644
index 0000000..1a10b18
--- /dev/null
+++ b/server/modules/yx/dto/probability_count_dto.go
@@ -0,0 +1,9 @@
+package dto
+
+// 定义概率数量统计结果结构体，用于接收四种录取概率对应的各自数量
+type ProbabilityCountDTO struct {
+	HardAdmit int64 `gorm:"column:hard_admit"` // 难录取（<60）
+	Impact    int64 `gorm:"column:impact"`     // 可冲击（60<=x<73）
+	Stable    int64 `gorm:"column:stable"`     // 较稳妥（73<=x<93）
+	Secure    int64 `gorm:"column:secure"`     // 可保底（>=93）
+}
diff --git a/server/modules/yx/mapper/yx_calculation_major_mapper.go b/server/modules/yx/mapper/yx_calculation_major_mapper.go
index 4e664df..50c824c 100644
--- a/server/modules/yx/mapper/yx_calculation_major_mapper.go
+++ b/server/modules/yx/mapper/yx_calculation_major_mapper.go
@@ -8,6 +8,7 @@ import (
 	"server/modules/yx/entity"
 	"strings"
 	"sync"
+	"time"
 
 	"gorm.io/gorm/clause"
 )
@@ -18,6 +19,14 @@ func NewYxCalculationMajorMapper() *YxCalculationMajorMapper {
 	return &YxCalculationMajorMapper{}
 }
 
+// 先定义存储各协程耗时的结构体（局部使用，也可全局复用）
+type QueryCostTime struct {
+	CountCost     time.Duration // 总数量查询耗时
+	ProbCountCost time.Duration // 四种概率数量查询耗时
+	QueryCost     time.Duration // 主列表查询耗时
+	TotalCost     time.Duration // 整体总耗时
+}
+
 func (m *YxCalculationMajorMapper) FindAll(page, size int) ([]entity.YxCalculationMajor, int64, error) {
 	var items []entity.YxCalculationMajor
 	var total int64
@@ -26,7 +35,208 @@ func (m *YxCalculationMajorMapper) FindAll(page, size int) ([]entity.YxCalculati
 	return items, total, err
 }
 
-func (m *YxCalculationMajorMapper) FindRecommendList(query dto.SchoolMajorQuery) ([]dto.UserMajorDTO, int64, error) {
+// 调整返回值：新增 ProbabilityCountDTO，返回列表、总数量、四种概率各自数量
+func (m *YxCalculationMajorMapper) FindRecommendList(query dto.SchoolMajorQuery) ([]dto.UserMajorDTO, int64, dto.ProbabilityCountDTO, error) {
+	var items []dto.UserMajorDTO
+	var total int64
+	var probCount dto.ProbabilityCountDTO // 四种概率的数量统计结果
+
+	// 1. 表名合法性校验：非空 + 白名单
+	tableName := query.UserScoreVO.CalculationTableName
+	if tableName == "" {
+		return nil, 0, dto.ProbabilityCountDTO{}, fmt.Errorf("CalculationTableName is empty")
+	}
+	// if !validTableNames[] {
+	// 	return nil, 0, dto.ProbabilityCountDTO{}, fmt.Errorf("invalid table name: %s, potential SQL injection risk", tableName)
+	// }
+
+	// 2. 基础条件SQL（共用过滤条件，排除概率筛选）
+	baseSQL := " WHERE 1=1 AND cm.state > 0 "
+	params := []interface{}{}
+
+	// 拼接共用过滤条件（与原有列表查询条件一致，保证统计结果准确性）
+	if query.UserScoreVO.ID != "" {
+		baseSQL += " AND cm.score_id = ?"
+		params = append(params, query.UserScoreVO.ID)
+	}
+	if query.MajorType != "" {
+		baseSQL += " AND cm.major_type = ?"
+		params = append(params, query.MajorType)
+	}
+	if query.Category != "" {
+		baseSQL += " AND cm.category = ?"
+		params = append(params, query.Category)
+	}
+	if len(query.MajorTypeChildren) > 0 {
+		placeholders := strings.Repeat("?,", len(query.MajorTypeChildren)-1) + "?"
+		baseSQL += " AND cm.major_type_child IN (" + placeholders + ")"
+		for _, v := range query.MajorTypeChildren {
+			params = append(params, v)
+		}
+	}
+	if query.MainSubjects != "" {
+		baseSQL += " AND cm.main_subjects = ?"
+		params = append(params, query.MainSubjects)
+	}
+
+	// 3. 优化后的总数量COUNT SQL
+	countSQL := fmt.Sprintf(`
+		SELECT COUNT(cm.id) FROM %s cm
+		%s
+	`, tableName, baseSQL)
+
+	// 4. 四种概率批量统计SQL（使用CASE WHEN一次查询，性能最优）
+	probCountSQL := fmt.Sprintf(`
+		SELECT
+			SUM(CASE WHEN cm.enroll_probability < 60 THEN 1 ELSE 0 END) AS hard_admit,
+			SUM(CASE WHEN cm.enroll_probability >= 60 AND cm.enroll_probability < 73 THEN 1 ELSE 0 END) AS impact,
+			SUM(CASE WHEN cm.enroll_probability >= 73 AND cm.enroll_probability < 93 THEN 1 ELSE 0 END) AS stable,
+			SUM(CASE WHEN cm.enroll_probability >= 93 THEN 1 ELSE 0 END) AS secure
+		FROM %s cm
+		%s
+	`, tableName, baseSQL)
+
+	// 5. 主查询SQL（保留原有字段和JOIN）
+	mainSQL := fmt.Sprintf(`
+		SELECT
+			cm.id,
+			s.school_name,
+			s.school_icon,
+			cm.state,
+			cm.school_code,
+			cm.major_code,
+			cm.major_name,
+			cm.enrollment_code,
+			cm.tuition,
+			cm.detail as majorDetail,
+			cm.category,
+			cm.batch,
+			cm.private_student_converted_score as privateStudentScore,
+			cm.student_old_converted_score as studentScore,
+			cm.student_converted_score,
+			cm.enroll_probability,
+			cm.rules_enroll_probability_sx,
+			cm.rules_enroll_probability,
+			cm.probability_operator,
+			cm.major_type,
+			cm.major_type_child,
+			cm.plan_num,
+			cm.main_subjects,
+			cm.limitation,
+			cm.other_score_limitation,
+			s.province as province,
+			s.school_nature as schoolNature,
+			s.institution_type as institutionType
+		FROM %s cm
+			LEFT JOIN yx_school_child sc ON sc.school_code = cm.school_code
+			LEFT JOIN yx_school_research_teaching srt ON srt.school_id = sc.school_id
+			LEFT JOIN yx_school s ON s.id = sc.school_id
+		%s
+	`, tableName, baseSQL)
+
+	// 拼接传入概率的筛选条件（兼容原有业务逻辑）
+	switch query.Probability {
+	case "难录取":
+		mainSQL += " AND cm.enroll_probability < 60"
+	case "可冲击":
+		mainSQL += " AND (cm.enroll_probability >= 60 and cm.enroll_probability < 73)"
+	case "较稳妥":
+		mainSQL += " AND (cm.enroll_probability >= 73 and cm.enroll_probability < 93)"
+	case "可保底":
+		mainSQL += " AND (cm.enroll_probability >= 93)"
+	}
+
+	// 6. 分页参数合法性校验
+	page := query.Page
+	size := query.Size
+	if page < 1 {
+		page = 1
+	}
+	if size < 1 {
+		size = 10
+	}
+	if size > 100 {
+		size = 100
+	}
+	offset := (page - 1) * size
+	// 提前拼接分页条件，避免协程内操作共享变量
+	mainSQL += fmt.Sprintf(" LIMIT %d OFFSET %d", size, offset)
+
+	// 7. 协程并发执行三个查询（总数量、概率数量、主列表），提升性能
+	// ---------------------- 核心局部代码（替换你原来的协程块） ----------------------
+	var wg sync.WaitGroup
+	var countErr, probCountErr, queryErr error
+	var queryCost QueryCostTime // 存储各协程耗时
+	var mu sync.Mutex           // 互斥锁：防止多协程同时修改queryCost引发竞态问题
+
+	// 整体开始时间
+	totalStartTime := time.Now()
+
+	wg.Add(3)
+
+	// 协程1：总数量查询（单独记录耗时）
+	go func() {
+		defer wg.Done()
+		// 记录该协程单独的开始时间
+		start := time.Now()
+		countErr = config.DB.Raw(countSQL, params...).Count(&total).Error
+		// 计算该协程耗时，通过互斥锁安全写入共享变量
+		mu.Lock()
+		queryCost.CountCost = time.Now().Sub(start)
+		mu.Unlock()
+	}()
+
+	// 协程2：四种概率数量批量查询（单独记录耗时）
+	go func() {
+		defer wg.Done()
+		// 记录该协程单独的开始时间
+		start := time.Now()
+		probCountErr = config.DB.Raw(probCountSQL, params...).Scan(&probCount).Error
+		// 计算该协程耗时，通过互斥锁安全写入共享变量
+		mu.Lock()
+		queryCost.ProbCountCost = time.Now().Sub(start)
+		mu.Unlock()
+	}()
+
+	// 协程3：主列表查询（单独记录耗时）
+	go func() {
+		defer wg.Done()
+		// 记录该协程单独的开始时间
+		start := time.Now()
+		queryErr = config.DB.Raw(mainSQL, params...).Scan(&items).Error
+		// 计算该协程耗时，通过互斥锁安全写入共享变量
+		mu.Lock()
+		queryCost.QueryCost = time.Now().Sub(start)
+		mu.Unlock()
+	}()
+
+	wg.Wait()
+
+	// 计算整体总耗时
+	queryCost.TotalCost = time.Now().Sub(totalStartTime)
+
+	// 打印各协程耗时和总耗时（按需输出，可注释或删除）
+	fmt.Printf("各查询耗时统计：\n")
+	fmt.Printf("  总数量查询耗时：%v\n", queryCost.CountCost)
+	fmt.Printf("  概率数量查询耗时：%v\n", queryCost.ProbCountCost)
+	fmt.Printf("  主列表查询耗时：%v\n", queryCost.QueryCost)
+	fmt.Printf("  整体总耗时：%v\n", queryCost.TotalCost)
+
+	// 8. 错误处理
+	if countErr != nil {
+		return nil, 0, dto.ProbabilityCountDTO{}, fmt.Errorf("failed to query total count: %w", countErr)
+	}
+	if probCountErr != nil {
+		return nil, 0, dto.ProbabilityCountDTO{}, fmt.Errorf("failed to query probability count: %w", probCountErr)
+	}
+	if queryErr != nil {
+		return nil, 0, dto.ProbabilityCountDTO{}, fmt.Errorf("failed to query recommend major list: %w", queryErr)
+	}
+
+	return items, total, probCount, nil
+}
+
+func (m *YxCalculationMajorMapper) FindRecommendList1(query dto.SchoolMajorQuery) ([]dto.UserMajorDTO, int64, error) {
 	var items []dto.UserMajorDTO
 	var total int64
 
diff --git a/server/modules/yx/service/yx_calculation_major_service.go b/server/modules/yx/service/yx_calculation_major_service.go
index fed68a7..8532095 100644
--- a/server/modules/yx/service/yx_calculation_major_service.go
+++ b/server/modules/yx/service/yx_calculation_major_service.go
@@ -21,9 +21,9 @@ type YxCalculationMajorService struct {
 	historyScoreControlLineService *YxHistoryScoreControlLineService
 }
 
-func (s *YxCalculationMajorService) RecommendMajorList(schoolMajorQuery yxDto.SchoolMajorQuery) ([]yxDto.UserMajorDTO, int64, error) {
+func (s *YxCalculationMajorService) RecommendMajorList(schoolMajorQuery yxDto.SchoolMajorQuery) ([]yxDto.UserMajorDTO, int64, dto.ProbabilityCountDTO, error) {
 	if schoolMajorQuery.UserScoreVO.ProfessionalCategory == "" {
-		return nil, 0, fmt.Errorf("专业类型错误")
+		return nil, 0, dto.ProbabilityCountDTO{}, fmt.Errorf("专业类型错误")
 	}
 	if schoolMajorQuery.Batch != "" {
 		schoolMajorQuery.Batch = strings.ReplaceAll(schoolMajorQuery.Batch, "批", "")
@@ -33,18 +33,23 @@ func (s *YxCalculationMajorService) RecommendMajorList(schoolMajorQuery yxDto.Sc
 
 	// 	}
 	// }
-	calculationMajors, total, err := s.mapper.FindRecommendList(schoolMajorQuery)
+	calculationMajors, total, probCount, err := s.mapper.FindRecommendList(schoolMajorQuery)
 	if err != nil {
-		return nil, 0, err
+		return nil, 0, dto.ProbabilityCountDTO{}, err
 	}
 
 	// 为专业列表添加历史数据
+	startTime := time.Now()
 	err = s.UserMajorDTOGetHistory(&calculationMajors)
+	endTime := time.Now()
+	// 执行时长
+	queryCostTime := endTime.Sub(startTime)
+	fmt.Printf("  历史数据查询耗时：%v\n", queryCostTime)
 	if err != nil {
-		return nil, 0, err
+		return nil, 0, dto.ProbabilityCountDTO{}, err
 	}
 
-	return calculationMajors, total, nil
+	return calculationMajors, total, probCount, nil
 }
 
 func (s *YxCalculationMajorService) BatchCreateBySchoolMajorDTO(tableName string, items []dto.SchoolMajorDTO, scoreID string) error {