CatchThat Football 每月有 0 次造訪，月增率 0%，定價模式為免費。DeepSeek 每月有 372,761,591 次造訪，成長率 +4.3%，定價模式為免費增值。
CatchThat Football is a football management simulation game built on a real play-by-play engine. Every one of the 22 players on the field is simulated on each snap, letting you either run the whole franchise over decades or take direct control and call each play yourself. It is currently in development and headed to Steam.
由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI，token 成本極低。
| 面向／指標 | ||
|---|---|---|
| 官方網域 | shop.catchthat.io | deepseek.com |
| 定價模式 | 免費 | 免費增值 |
| 每月造訪次數 | 0 (0) | 3.73億 (372,761,591) |
| 月流量變化量 | 0 (0%) | +1536.22萬 (+4.3%) |
| 主要市場與市佔 | 🌐 全球 (—) | 🇨🇳 中國 (50.5%) |
| 每月直接造訪 | 0 | 2.92億 |
| 使用者評分 | 4.2 | 4.8 |
| 支援平台 | 網站 | 網站 |
CatchThat Football is a football management simulation game built on a real play-by-play engine. Every one of the 22 players on the field is simulated on each snap, letting you either run the whole franchise over decades or take direct control and call each play yourself. It is currently in development and headed to Steam.
Run a franchise across multiple decades, signing, trading and developing players as your dynasty grows.
Take the headset and pick the play yourself, with the engine resolving all 22 players on every snap.
A genuine play-by-play simulation resolves blocking, routes, coverage and tackling instead of abstract dice rolls.
Try an interactive preview of a real engine play directly on the site before the game launches on Steam.
由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI，token 成本極低。
依託稀疏混合專家架構（V4-Pro 為 1.6T 中的 49B 啟用參數），以極低延遲與記憶體開銷處理最多 100 萬 token。
由 DeepSeek-R1 開創並融入 V3.2 與 V4 思考模式，對複雜數學、邏輯與程式碼除錯展示逐步自驗證過程。
快取命中時，輸入 token 成本降至 Flash 的每百萬 0.003 美元與 V4-Pro 的每百萬 0.022 美元，離峰 UTC 時段費率再低 50%。
在 chat.deepseek.com 及 iOS/Android 上免費提供文件上傳、推理模式與網頁搜尋，核心模型無須付費牆。
提供巨大的上下文視窗與深度的 Google 生態系整合，但對於純推理任務感覺較不夠專精。
提供巨大的上下文視窗與深度的 Google 生態系整合，但對於純推理任務感覺較不夠專精。
免費 / 開源提供同等級的開源權重基礎模型與多語言效能，但需要自行架構主機或第三方推論設定。
免費 / 開源Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.
免費 / 開源Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.
來自真實使用者的客觀照片回饋，適用於約會、商務與社群檔案
