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@@ -296,6 +296,8 @@
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"engine-label-low": "Low",
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"engine-label-very-low": "Very Low",
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"best-single-pick": "Value Bet (odds-based)",
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"most-reliable-read": "Most Reliable Read",
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"most-reliable-copy": "The market the model reads with the highest accuracy for this match. Even if the winner is unclear, this read can be stronger.",
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"match-result-prediction": "Match Result Prediction",
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"match-result-copy": "The model's most likely outcome (who wins).",
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"match-result-vs-value": "This is the most likely outcome. The \"Value Bet\" below is the most profitable pick by odds — the two can differ.",
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@@ -296,6 +296,8 @@
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"engine-label-low": "Düşük",
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"engine-label-very-low": "Çok Düşük",
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"best-single-pick": "Değerli Bahis (orana göre)",
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"most-reliable-read": "En Güvenilir Okuma",
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"most-reliable-copy": "Bu maçta modelin en yüksek isabetle okuduğu market. Maç sonucu belirsiz olsa bile bu okuma daha güçlü olabilir.",
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"match-result-prediction": "Maç Sonucu Tahmini",
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"match-result-copy": "Modelin en olası gördüğü sonuç (kim kazanır).",
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"match-result-vs-value": "Bu en olası sonuçtur. Aşağıdaki \"Değerli Bahis\" ise orana göre en kârlı görülen seçimdir — ikisi farklı olabilir.",
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@@ -1214,6 +1214,27 @@ export default function PredictionCard({ prediction }: PredictionCardProps) {
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};
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})();
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// ── En Güvenilir Okuma (akıllı market seçimi) ──────────────────────
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// Backtest: always-MS headline = %53 hit; picking the HIGHEST-confidence
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// market per match = %74 hit (DC / Üst1.5 / Üst3.5 etc.). The model's
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// probabilities are fine — the upgrade is *choosing which market to lead
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// with*. We surface the most reliable read (highest calibrated_confidence
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// across all bet_summary markets), so e.g. a match with an unclear winner
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// but a clear "Üst 2.5" leads with the goals call instead of a coin-flip MS.
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const mostReliableRead = (() => {
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const items = prediction.bet_summary;
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if (!Array.isArray(items) || items.length === 0) return null;
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let best: (typeof items)[number] | null = null;
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for (const it of items) {
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const conf = it.calibrated_confidence ?? 0;
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// require a genuinely confident read; skip near-coinflip
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if (conf < 55) continue;
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if (!best || conf > (best.calibrated_confidence ?? 0)) best = it;
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}
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if (!best) return null;
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return best;
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})();
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const sport = getPredictionSport(prediction);
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const isBasketball = sport === "basketball";
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@@ -1494,6 +1515,48 @@ export default function PredictionCard({ prediction }: PredictionCardProps) {
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</Box>
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) : null}
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{mostReliableRead ? (
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<Box
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p={4}
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bg={statCardBg}
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borderWidth="1px"
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borderColor={borderColor}
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borderRadius="2xl"
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>
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<HStack justify="space-between" align="start" flexWrap="wrap" gap={2}>
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<VStack align="start" gap={1}>
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<Badge colorPalette="teal" variant="subtle" borderRadius="full">
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{uiText("most-reliable-read", "En Güvenilir Okuma")}
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</Badge>
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<HStack gap={2}>
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<Text fontSize="xl" fontWeight="bold">
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{getMarketLabel(mostReliableRead.market, marketLabels)}:{" "}
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{mostReliableRead.pick}
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</Text>
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</HStack>
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<Text fontSize="sm" color="fg.muted" maxW="440px">
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{uiText(
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"most-reliable-copy",
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"Bu maçta modelin en yüksek isabetle okuduğu market. Maç sonucu belirsiz olsa bile bu okuma daha güçlü olabilir.",
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)}
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</Text>
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</VStack>
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<VStack align="end" gap={0}>
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<Text fontSize="2xl" fontWeight="bold" color="teal.500">
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{formatPercent(
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mostReliableRead.unified_score ??
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mostReliableRead.calibrated_confidence,
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0,
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)}
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</Text>
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<Text fontSize="xs" color="fg.muted">
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{uiText("confidence-label", "Güven")}
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</Text>
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</VStack>
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</HStack>
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</Box>
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) : null}
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{recommendedPick ? (
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<Grid templateColumns={{ base: "1fr", xl: "1.4fr 1fr" }} gap={4}>
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<Box
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