4 Years of 'Disappointment' with the Warriors: What I Learned as a Data-Driven Fan

The Hype Before the Drop
“Next season, no one wants to face us.” That quote kicked off my 2021 season as a Warriors observer — not just a fan, but a believer in systematic growth. I remember the excitement: two high-upside rookies (Kuminga and Moody), veteran depth upgrades (Murray & Payton), and a championship-caliber core still intact. The media predicted Western Conference sixth place — not glory, but stability.
I didn’t care about rankings. I cared about process.
Year 1: The Rookie Glimmer
The 2021 playoffs were magical. Kuminga dazzled in spurts — raw energy, explosive drives — but looked overwhelmed under pressure. Moody? Calm. Efficient. He hit clutch threes like he’d been there before.
Data didn’t lie: Moody’s true shooting percentage was 10% higher than Kuminga’s in playoff minutes. Yet fans argued over who was “more fun to watch.” I quietly noted the discrepancy.
Code comment:
// Emotional bias > statistical output → risk of systemic misallocation
Year 2: The Collapse of Trust
After winning it all, everyone left: Payton to Portland, Murray to Toronto, Looney to free agency… even Draymond got traded after his suspension fallout.
Enter new pieces: Jrue Holiday (wait — no)… actually Jamal Crawford? No — Jalen Green? Wait again — it was Jordan Poole, Moses Brown, and Chris Paul? No… Wait. It was Gary Payton II, Moses Moody, Jalen Suggs, and yes — the guy they called ‘Diya’. Ah yes.
Nope. Backtrack: The real names were Jordan Poole (not Jalen Suggs), Moses Moody (still here), Gary Payton II (who stayed longer than expected), and Chris Paul didn’t come until later. Anyway. The roster reset wasn’t just turnover; it was identity loss. Even if efficiency stats showed the starting five outperformed everyone else by +8 points per 100 possessions in early 2022–23… win-loss? Mediocre. Why? The coach played Diya (aka DiVincenzo) too much — like he owed him something from draft night speculation. But numbers don’t lie: Pascal Siakam had better usage efficiency than Diya did across three games when inserted late in blowouts. Still… fans screamed about “coaching injustice.” Interesting. The data said otherwise; emotions said war.
Year 3: The Rise of Real Talent
Enter Brandin Podziemski – not “Bozeman,” but Podziemski. The kid arrived with quiet precision. While Diya struggled with inconsistency (58% shooting from deep over six games after mid-season), Podziemski shot 43% from distance while averaging +9 net rating on floor time. He wasn’t flashy. He wasn’t viral on TikTok. But he ran screens like clockwork and made reads no rookie should have at age 21. Meanwhile, diagrams from our internal model showed his offensive impact matched that of a rotation guard after four months—but only if you ignored social media noise.” The result? The team missed the playoffs for the first time since Steph’s peak era—despite having two lottery picks still learning their roles. The blame land squarely where it belonged: poor long-term planning rooted in short-term sentimentality rather than predictive modeling.
Year 4: When Fandom Meets Reality
Now we’re here—four years later—and people still say ‘Diya was mistreated.’ As if consistency matters less than narrative momentum?
Let me run the regression:
- Over four seasons: Diya averaged 67% true shooting rate vs league average for similar position players at same age → below average
- Usage rate peaked at ~35% during stretch run… then dropped when injuries hit
- Team net rating during his minutes: -3 per 100 possessions
- In contrast: Podziemski’s net rating +7 during same span
So yes—some fans feel cheated because their emotional investment wasn’t validated by results.
But sports aren’t personal drama series—they’re optimization problems with human variables added late for flavor.
Final thought:
Don’t confuse loyalty with logic.
I’m still rooting for improvement—but only if it comes from data-driven decisions.
Want more breakdowns like this?
Drop your thoughts below — what player’s career trajectory surprised you most?
StatAlchemist
Hot comment (4)

4 साल की निराशा
वॉरियर्स के साथ 4 साल… जब तक मैंने ‘डिविंसेंजो’ को प्रति मैच 35% गोल करते हुए देखा, मैंने सोचा - ‘अब बस हमारी बहुत प्यारी है!’
पर डेटा कहता है - इसके मिनटों में टीम -3 पॉइंट्स।
जबकि पॉडज़ियम्स्की? ‘4 महीने में Roto-Guard-लेवल प्रभाव’! पर TikTok पर कोई भी इसका क्लिप नहीं करता!
फैन्स? ‘डिया को समझाओ!’ पर data says - आपको समझने की ज़रूरत है 😅
खुदगर्ज़ी vs. सटीकता — फुटबॉल (अच्छा) vs. NBA (गणित)
आपको कौन पसंद है? डिया? पॉडज़ियम्स्की?
#वॉरियर्स #डेटाफ्रेंडलीफ़्यान #NBA #फ़्यानवशुद्ध_खेल
Comment section mein batao — kis player ka career surprise kar gaya?

## 4年目の現実
『ディヤは扱いが悪かった』って言うけど、データ見てんのか?
4年間、チームの勝率は下がりっぱなし。ディヤのTS%はリーグ平均より低いのに、ファンは『感情的に応援した』って言い訳。
## データと感情の対決
一方でポジエムスキは、35%シュート率+9のNET RATING。TikTokで話題にならないけど、毎試合正確にパスを出してる。
ファンたち:「コールドプレイだ!」→ データ:「いや、効率悪いからね」
## 感情より論理を
スポーツはドラマじゃない。最適化問題だよ。ロイヤルティじゃ勝てない。
だから俺は…データで判断する。お前らどう思う?
評論欄で戦争開始!🔥

4 năm thất vọng – mà vẫn yêu!
Từ khi nghe câu nói “Next season, no one wants to face us” năm 2021, mình đã tin vào hệ thống như một nhà khoa học thực thụ.
Nhưng rồi… Kuminga thì bốc đồng, Moody thì lặng lẽ nhưng hiệu quả – dữ liệu không sai đâu!
Lỗi tại cảm xúc?
Sau khi mất cả đội hình cũ, họ gọi về “Diya” – đúng tên thật chứ không phải Jalen Suggs hay Jordan Poole! Dù số liệu cho thấy anh chỉ làm team rating -3⁄100 possession… fan vẫn hét lên: “Chơi tệ vì bị ghẻ lạnh!”
Tương lai ở đâu?
Rồi Podziemski đến – không viral trên TikTok, nhưng net rating +9 và chuyền bóng như máy tính. Mình nghĩ: Đừng nhầm lòng trung thành với logic!
Còn bạn? Có ai từng bị cảm xúc đánh lừa vì một cầu thủ không? Comment đi! 🏀💥

ये वाली सीज़न में डेटा कभी झूठ नहीं बोलता… पर क्रिकेट के स्टेडियम पर हुआ! गैरी पैटन II के ‘clutch threes’ पर मौसेस मूडी की ‘calm efficiency’ से हम सबको हंसी। 100 पॉसेशन्स पर -3 net rating? अच्छा! कोच के पास cricket bat है — NBA में Kumblea nahi, Parthiv Suggs! 😅 #WarriorsKaDard #DataYaHai
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