{
    "site": "saihuay",
    "page_type": "lucky_number_analysis",
    "canonical_url": "https://saihuay.com/lucky_data?lotto=china_afternoon_special",
    "generated_at": "2026-05-16T17:22:31+00:00",
    "market_slug": "china_afternoon_special",
    "market_name_th": "China Afternoon Special",
    "market_display_name": "China Afternoon Special",
    "analysis_limit": 120,
    "prediction_basis": 68,
    "latest_row": {
        "draw_date": "2026-05-16",
        "top_3": "210",
        "bottom_2": "96",
        "first_prize": "",
        "draw_result": "1581210"
    },
    "next_draw": {
        "display": "May 17, 2026",
        "note": "Daily draws",
        "cutoff": "Results around 14:25"
    },
    "trend_scores": {
        "top_3": 17.9,
        "bottom_2": 18.6
    },
    "top_3_analysis": {
        "valid_rows": 68,
        "positions": [
            {
                "label": "Hundreds",
                "top_digit": "5",
                "top_percent": 16.8,
                "top_digits": [
                    {
                        "digit": "5",
                        "percent": 16.8
                    },
                    {
                        "digit": "1",
                        "percent": 15.5
                    },
                    {
                        "digit": "9",
                        "percent": 12.6
                    },
                    {
                        "digit": "2",
                        "percent": 12.4
                    },
                    {
                        "digit": "8",
                        "percent": 11.6
                    }
                ]
            },
            {
                "label": "Tens",
                "top_digit": "1",
                "top_percent": 19.3,
                "top_digits": [
                    {
                        "digit": "1",
                        "percent": 19.3
                    },
                    {
                        "digit": "3",
                        "percent": 17.5
                    },
                    {
                        "digit": "6",
                        "percent": 14.2
                    },
                    {
                        "digit": "5",
                        "percent": 11.7
                    },
                    {
                        "digit": "2",
                        "percent": 10
                    }
                ]
            },
            {
                "label": "Units",
                "top_digit": "6",
                "top_percent": 17.6,
                "top_digits": [
                    {
                        "digit": "6",
                        "percent": 17.6
                    },
                    {
                        "digit": "1",
                        "percent": 16.7
                    },
                    {
                        "digit": "0",
                        "percent": 13
                    },
                    {
                        "digit": "7",
                        "percent": 11.7
                    },
                    {
                        "digit": "5",
                        "percent": 10
                    }
                ]
            }
        ],
        "window_highlights": [
            {
                "label": "Short term",
                "size": 20,
                "digits": "116",
                "average_percent": 19.2
            },
            {
                "label": "Mid term",
                "size": 60,
                "digits": "511",
                "average_percent": 17.3
            },
            {
                "label": "Overall",
                "size": 120,
                "digits": "511",
                "average_percent": 16.9
            }
        ],
        "candidates": [
            {
                "digits": "516",
                "trend_percent": 100
            },
            {
                "digits": "511",
                "trend_percent": 94.9
            },
            {
                "digits": "116",
                "trend_percent": 92.3
            },
            {
                "digits": "536",
                "trend_percent": 90.7
            },
            {
                "digits": "111",
                "trend_percent": 87.5
            },
            {
                "digits": "531",
                "trend_percent": 86
            }
        ]
    },
    "bottom_2_analysis": {
        "valid_rows": 68,
        "positions": [
            {
                "label": "Bottom Tens",
                "top_digit": "2",
                "top_percent": 17.2,
                "top_digits": [
                    {
                        "digit": "2",
                        "percent": 17.2
                    },
                    {
                        "digit": "4",
                        "percent": 16.2
                    },
                    {
                        "digit": "3",
                        "percent": 13.5
                    },
                    {
                        "digit": "9",
                        "percent": 13.1
                    },
                    {
                        "digit": "8",
                        "percent": 11.1
                    }
                ]
            },
            {
                "label": "Bottom Units",
                "top_digit": "6",
                "top_percent": 20,
                "top_digits": [
                    {
                        "digit": "6",
                        "percent": 20
                    },
                    {
                        "digit": "2",
                        "percent": 19.8
                    },
                    {
                        "digit": "8",
                        "percent": 15.1
                    },
                    {
                        "digit": "7",
                        "percent": 12.7
                    },
                    {
                        "digit": "4",
                        "percent": 10.1
                    }
                ]
            }
        ],
        "window_highlights": [
            {
                "label": "Short term",
                "size": 20,
                "digits": "22",
                "average_percent": 21.2
            },
            {
                "label": "Mid term",
                "size": 60,
                "digits": "46",
                "average_percent": 16.2
            },
            {
                "label": "Overall",
                "size": 120,
                "digits": "46",
                "average_percent": 16.1
            }
        ],
        "candidates": [
            {
                "digits": "26",
                "trend_percent": 100
            },
            {
                "digits": "22",
                "trend_percent": 99
            },
            {
                "digits": "46",
                "trend_percent": 94.2
            },
            {
                "digits": "42",
                "trend_percent": 93.2
            },
            {
                "digits": "36",
                "trend_percent": 78.5
            },
            {
                "digits": "32",
                "trend_percent": 77.7
            }
        ]
    },
    "hot_digits": [
        {
            "digit": "1",
            "count": 0,
            "percent": 12.1
        },
        {
            "digit": "2",
            "count": 0,
            "percent": 10.9
        },
        {
            "digit": "6",
            "count": 0,
            "percent": 10.8
        },
        {
            "digit": "9",
            "count": 0,
            "percent": 10.6
        },
        {
            "digit": "3",
            "count": 0,
            "percent": 10.6
        },
        {
            "digit": "7",
            "count": 0,
            "percent": 10.3
        }
    ],
    "related_urls": {
        "latest_results_url": "https://saihuay.com/result",
        "historical_url": "https://saihuay.com/historical?lotto=china_afternoon_special",
        "lucky_url": "https://saihuay.com/lucky_data?lotto=china_afternoon_special"
    },
    "disclaimer": "Statistical analysis based on historical data; not a guaranteed prediction.",
    "error_message": ""
}