Predictions

Overview — Prediction metrics

These metrics are structured numeric signals attached to a fixture's metrics array that
describe predicted match behavior (for example: goals, corners, yellow cards, shot scores,
and pressure).
Use these metrics in the frontend, filters, analytics dashboards, or betting pipelines to
display prediction scores, highlight advantages, show confidence, map predictions to market
lines, and provide short explanatory context for users.
When present, the optional meta
object supplies human-friendly details such as reasons, the derived betting line, market and
label ids, or concise notes useful for UI tooltips and downstream workflows.

type_id	developer_name	description
94	PREDICTION_GL_OVER	Prediction that total match goals will be over the Asian goal line; value is combined expected goals (xG).
95	PREDICTION_GL_UNDER	Prediction that total match goals will be under the Asian goal line; value is combined expected goals (xG).
97	PREDICTION_GL_DIFF	Absolute difference between home and away expected goals (xG diff).
98	PREDICTION_GL_LEADER	Leader indicator for goals: 1 = home leading, 2 = away leading, 0 = even.
96	PREDICTION_GL_CONFIDENCE	Confidence score (30-95) for the goals prediction; meta contains base/bonus breakdown.
99	PREDICTION_COR_OVER	Prediction that total corners will be over the Asian corners line; value is combined expected corners.
100	PREDICTION_COR_UNDER	Prediction that total corners will be under the Asian corners line; value is combined expected corners.
102	PREDICTION_COR_DIFF	Difference between home and away expected corners.
103	PREDICTION_COR_LEADER	Leader indicator for corners: 1 = home, 2 = away, 0 = even.
101	PREDICTION_COR_CONFIDENCE	Confidence score (30-95) for the corners prediction; meta contains base/bonus breakdown.
104	PREDICTION_YC_OVER	Prediction that total yellow cards will be over the main line; value is combined expected yellow cards.
105	PREDICTION_YC_UNDER	Prediction that total yellow cards will be under the main line; value is combined expected yellow cards.
107	PREDICTION_YC_DIFF	Difference between home and away expected yellow cards.
108	PREDICTION_YC_LEADER	Leader indicator for yellow cards: 1 = home, 2 = away, 0 = even.
106	PREDICTION_YC_CONFIDENCE	Confidence score (30-95) for the yellow cards prediction; meta contains base/bonus breakdown.
109	PREDICTION_HOME_SHOTS_SCORE	Composite home shots-on-target score combining home attack with opponent shot-defense.
110	PREDICTION_AWAY_SHOTS_SCORE	Composite away shots-on-target score combining away attack with opponent shot-defense.
111	PREDICTION_SHOTS_ADVANTAGE	Advantage indicator for shots-on-target: 1 = home, 2 = away, 0 = even.
112	PREDICTION_HOME_DANGEROUS_SCORE	Composite home dangerous-attacks score combining home dangerous attack power and opponent defense.
113	PREDICTION_AWAY_DANGEROUS_SCORE	Composite away dangerous-attacks score combining away dangerous attack power and opponent defense.
114	PREDICTION_DANGEROUS_ADVANTAGE	Advantage indicator for dangerous attacks: 1 = home, 2 = away, 0 = even.
115	PREDICTION_TOTAL_ATTACK_PRESSURE	Aggregate attack pressure metric summing dangerous attacks and goal-attack powers; meta.classification = Low/Medium/High.
116	PREDICTION_CONFIDENCE_SCORE	Composite overall confidence (20-95) combining xMetric diffs and enhanced indicators.

Examples for prediction metrics that include a `meta` property

PREDICTION_GL_OVER

{
    "fixture_id": 12345,
    "type_id": 94,
    "team_id": 0,
    "developer_name": "PREDICTION_GL_OVER",
    "value": 3.20,
    "meta": {
        "reasons": ["Both teams have weak defenses (>1.1)", "High combined x-goals (>2.75)"],
        "line": 2.75,
        "market_id": 3,
        "label_id": 2
    }
}

PREDICTION_GL_UNDER

{
    "fixture_id": 12345,
    "type_id": 95,
    "team_id": 0,
    "developer_name": "PREDICTION_GL_UNDER",
    "value": 1.90,
    "meta": {
        "reasons": ["Both teams have strong defenses (<0.9)"],
        "line": 2.75,
        "market_id": 3,
        "label_id": 1
    }
}

PREDICTION_GL_CONFIDENCE

{
    "fixture_id": 12345,
    "type_id": 96,
    "team_id": 0,
    "developer_name": "PREDICTION_GL_CONFIDENCE",
    "value": 78,
    "meta": {
        "note": "Base Confidence=70 (Clear xMetric advantage), Bonus=8, Final Confidence=78"
    }
}

PREDICTION_COR_OVER

{
    "fixture_id": 12345,
    "type_id": 99,
    "team_id": 0,
    "developer_name": "PREDICTION_COR_OVER",
    "value": 12.0,
    "meta": {
        "reasons": ["Strong home corner attack", "Opponent concedes many corners"],
        "line": 10.5,
        "market_id": 6,
        "label_id": 2
    }
}

PREDICTION_COR_UNDER

{
    "fixture_id": 12345,
    "type_id": 100,
    "team_id": 0,
    "developer_name": "PREDICTION_COR_UNDER",
    "value": 8.5,
    "meta": {
        "reasons": ["Both teams have weak corner attacks (<0.9)"],
        "line": 10.5,
        "market_id": 6,
        "label_id": 1
    }
}

PREDICTION_COR_CONFIDENCE

{
    "fixture_id": 12345,
    "type_id": 101,
    "team_id": 0,
    "developer_name": "PREDICTION_COR_CONFIDENCE",
    "value": 66,
    "meta": {
        "note": "Base Confidence=60 (Slight xMetric advantage), Bonus=6, Final Confidence=66"
    }
}

PREDICTION_YC_OVER

{
    "fixture_id": 12345,
    "type_id": 104,
    "team_id": 0,
    "developer_name": "PREDICTION_YC_OVER",
    "value": 5.2,
    "meta": {
        "reasons": ["High card tendency by leader", "Opponent draws fouls"],
        "line": 4.25,
        "market_id": 203,
        "label_id": 2
    }
}

PREDICTION_YC_UNDER

{
    "fixture_id": 12345,
    "type_id": 105,
    "team_id": 0,
    "developer_name": "PREDICTION_YC_UNDER",
    "value": 3.8,
    "meta": {
        "reasons": ["Both teams have disciplined defenses (<0.9)"],
        "line": 4.25,
        "market_id": 203,
        "label_id": 1
    }
}

PREDICTION_YC_CONFIDENCE

{
    "fixture_id": 12345,
    "type_id": 106,
    "team_id": 0,
    "developer_name": "PREDICTION_YC_CONFIDENCE",
    "value": 59,
    "meta": {
        "note": "Base Confidence=50 (Close match), Bonus=9, Final Confidence=59"
    }
}

PREDICTION_TOTAL_ATTACK_PRESSURE

{
    "fixture_id": 12345,
    "type_id": 115,
    "team_id": 0,
    "developer_name": "PREDICTION_TOTAL_ATTACK_PRESSURE",
    "value": 4.8,
    "meta": {
        "classification": "High"
    }
}

Overview — Prediction metrics

Examples for prediction metrics that include a meta property

Examples for prediction metrics that include a `meta` property