CatchThat Football 记录了 0 月访问量，月度环比增长为 0%，定价为免费。DeepSeek 记录了 372,761,591 月访问量，增长率为 +4.3%，定价为免费增值。
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 与 R1 驱动的高效开源权重与托管推理 AI，token 成本极低。
| 维度 / 指标 | ||
|---|---|---|
| 官方域名 | shop.catchthat.io | deepseek.com |
| 定价模式 | 免费 | 免费增值 |
| 月访问量 | 0 (0) | 3.73亿 (372,761,591) |
| 月度环比流量变化 | 0 (0%) | +1536.22万 (+4.3%) |
| 主要市场与份额 | 🌐 全球 (—) | 🇨🇳 中国 (50.5%) |
| 直接访问 / 月 | 0 | 2.92亿 |
| 用户评分 | 4.2 | 4.8 |
| 支持的平台 | 网站 | 网站 |
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 与 R1 驱动的高效开源权重与托管推理 AI，token 成本极低。
依托稀疏混合专家架构（V4-Pro 为 1.6T 中的 49B 激活参数），以极低延迟与内存开销处理最多 100 万 token。
由 DeepSeek-R1 开创并融入 V3.2 与 V4 思考模式，对复杂数学、逻辑与代码调试展示逐步自校验过程。
缓存命中时，输入 token 成本降至 Flash 的每百万 0.003 美元与 V4-Pro 的每百万 0.022 美元，非高峰 UTC 时段费率再低 50%。
在 chat.deepseek.com 及 iOS/Android 上免费提供文档上传、推理模式与网页搜索，核心模型不必付费墙。
提供巨大的上下文窗口与深度的 Google 生态系整合，但对于纯推理任务感觉较不够专精。
提供巨大的上下文窗口与深度的 Google 生态系整合，但对于纯推理任务感觉较不够专精。
免费 / 开源提供同等级的开源权重基础模型与多语言效能，但需要自行架构主机或第三方推理设定。
免费 / 开源Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.
免费 / 开源Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.
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