{
    "site": "saihuay",
    "page_type": "lucky_number_analysis",
    "canonical_url": "https://saihuay.com/lucky_data?lotto=maekhong_phatthana",
    "generated_at": "2026-05-16T18:28:23+00:00",
    "market_slug": "maekhong_phatthana",
    "market_name_th": "Mekong Phatthana",
    "market_display_name": "Mekong Phatthana",
    "analysis_limit": 120,
    "prediction_basis": 68,
    "latest_row": {
        "draw_date": "2026-05-16",
        "top_3": "288",
        "bottom_2": "49",
        "first_prize": "",
        "draw_result": "494288"
    },
    "next_draw": {
        "display": "May 17, 2026",
        "note": "Daily draws",
        "cutoff": "Results around 21:15"
    },
    "trend_scores": {
        "top_3": 21.4,
        "bottom_2": 24.3
    },
    "top_3_analysis": {
        "valid_rows": 68,
        "positions": [
            {
                "label": "Hundreds",
                "top_digit": "0",
                "top_percent": 23.8,
                "top_digits": [
                    {
                        "digit": "0",
                        "percent": 23.8
                    },
                    {
                        "digit": "3",
                        "percent": 20.8
                    },
                    {
                        "digit": "2",
                        "percent": 17.1
                    },
                    {
                        "digit": "5",
                        "percent": 12.8
                    },
                    {
                        "digit": "6",
                        "percent": 7.7
                    }
                ]
            },
            {
                "label": "Tens",
                "top_digit": "8",
                "top_percent": 17.5,
                "top_digits": [
                    {
                        "digit": "8",
                        "percent": 17.5
                    },
                    {
                        "digit": "4",
                        "percent": 16.6
                    },
                    {
                        "digit": "9",
                        "percent": 16
                    },
                    {
                        "digit": "1",
                        "percent": 13.2
                    },
                    {
                        "digit": "6",
                        "percent": 12.6
                    }
                ]
            },
            {
                "label": "Units",
                "top_digit": "5",
                "top_percent": 22.9,
                "top_digits": [
                    {
                        "digit": "5",
                        "percent": 22.9
                    },
                    {
                        "digit": "8",
                        "percent": 15.5
                    },
                    {
                        "digit": "1",
                        "percent": 10.8
                    },
                    {
                        "digit": "7",
                        "percent": 10.5
                    },
                    {
                        "digit": "4",
                        "percent": 10
                    }
                ]
            }
        ],
        "window_highlights": [
            {
                "label": "Short term",
                "size": 20,
                "digits": "095",
                "average_percent": 25.3
            },
            {
                "label": "Mid term",
                "size": 60,
                "digits": "345",
                "average_percent": 19.8
            },
            {
                "label": "Overall",
                "size": 120,
                "digits": "345",
                "average_percent": 19.4
            }
        ],
        "candidates": [
            {
                "digits": "085",
                "trend_percent": 100
            },
            {
                "digits": "045",
                "trend_percent": 94.9
            },
            {
                "digits": "095",
                "trend_percent": 91.4
            },
            {
                "digits": "385",
                "trend_percent": 87.4
            },
            {
                "digits": "345",
                "trend_percent": 82.9
            },
            {
                "digits": "395",
                "trend_percent": 79.9
            }
        ]
    },
    "bottom_2_analysis": {
        "valid_rows": 68,
        "positions": [
            {
                "label": "Bottom Tens",
                "top_digit": "4",
                "top_percent": 28.8,
                "top_digits": [
                    {
                        "digit": "4",
                        "percent": 28.8
                    },
                    {
                        "digit": "9",
                        "percent": 26.2
                    },
                    {
                        "digit": "0",
                        "percent": 22.3
                    },
                    {
                        "digit": "6",
                        "percent": 7.1
                    },
                    {
                        "digit": "7",
                        "percent": 4.6
                    }
                ]
            },
            {
                "label": "Bottom Units",
                "top_digit": "6",
                "top_percent": 19.8,
                "top_digits": [
                    {
                        "digit": "6",
                        "percent": 19.8
                    },
                    {
                        "digit": "9",
                        "percent": 15.6
                    },
                    {
                        "digit": "7",
                        "percent": 14.2
                    },
                    {
                        "digit": "2",
                        "percent": 11.8
                    },
                    {
                        "digit": "1",
                        "percent": 10.3
                    }
                ]
            }
        ],
        "window_highlights": [
            {
                "label": "Short term",
                "size": 20,
                "digits": "46",
                "average_percent": 28.4
            },
            {
                "label": "Mid term",
                "size": 60,
                "digits": "96",
                "average_percent": 21
            },
            {
                "label": "Overall",
                "size": 120,
                "digits": "96",
                "average_percent": 20.4
            }
        ],
        "candidates": [
            {
                "digits": "46",
                "trend_percent": 100
            },
            {
                "digits": "96",
                "trend_percent": 91
            },
            {
                "digits": "49",
                "trend_percent": 78.8
            },
            {
                "digits": "06",
                "trend_percent": 77.4
            },
            {
                "digits": "47",
                "trend_percent": 71.7
            },
            {
                "digits": "99",
                "trend_percent": 71.7
            }
        ]
    },
    "hot_digits": [
        {
            "digit": "9",
            "count": 0,
            "percent": 12.9
        },
        {
            "digit": "0",
            "count": 0,
            "percent": 11.6
        },
        {
            "digit": "4",
            "count": 0,
            "percent": 11.5
        },
        {
            "digit": "6",
            "count": 0,
            "percent": 11.1
        },
        {
            "digit": "3",
            "count": 0,
            "percent": 9.8
        },
        {
            "digit": "8",
            "count": 0,
            "percent": 9.5
        }
    ],
    "related_urls": {
        "latest_results_url": "https://saihuay.com/result",
        "historical_url": "https://saihuay.com/historical?lotto=maekhong_phatthana",
        "lucky_url": "https://saihuay.com/lucky_data?lotto=maekhong_phatthana"
    },
    "disclaimer": "Statistical analysis based on historical data; not a guaranteed prediction.",
    "error_message": ""
}