Yoodi — CS2 Stats
76561198206928361[U:1:246662633]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like jL 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
T-side openings. Opening success drops from 56% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| B | 26 | 14–12 | 54% | 0.00 | |
| C | 20 | 8–12 | 40% | 0.01 | |
| C | 19 | 7–12 | 37% | -0.01 | |
| A | 17 | 10–7 | 59% | 0.02 | |
| D | 11 | 3–8 | 27% | 0.00 | |
| — | 4 | 3–1 | 75% | 0.04 | |
| — | 2 | 0–2 | 0% | -0.03 | |
| — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 55% | 1.02 | 14.1 |
| Inferno | 10 | 40% | 0.83 | 12.8 |
| Nuke | 6 | 17% | 1.08 | 19.0 |
| Dust2 | 6 | 83% | 0.90 | 13.2 |
| Vertigo | 3 | 33% | 0.37 | 6.0 |
| Ancient | 2 | 0% | 0.64 | 10.5 |
| Anubis | 1 | 0% | 0.44 | 7.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.01 | 24% | 13 Aug → | ||
| 13–11 | -0.01 | 18% | 13 Aug → | ||
| 13–4 | -0.00 | 35% | 6 Aug → | ||
| 9–13 | 0.00 | 19% | 24 Jun → | ||
| 13–7 | -0.02 | 17% | 23 Jun → | ||
| 12–16 | -0.03 | 17% | 22 Jun → | ||
| 11–13 | 0.07 | 22% | 18 Jun → | ||
| 13–11 | 0.04 | 14% | 16 Jun → | ||
| 11–13 | -0.01 | 20% | 14 Jun → | ||
| 13–4 | 0.03 | 14% | 14 Jun → | ||
| 13–8 | 0.01 | 27% | 11 Jun → | ||
| 6–2 | 0.01 | 24% | 11 Jun → | ||
| 11–13 | -0.04 | 12% | 25 May → | ||
| 9–13 | -0.05 | 22% | 25 May → | ||
| 13–8 | -0.05 | 23% | 24 May → | ||
| 13–8 | 0.10 | 21% | 24 May → | ||
| 8–13 | -0.01 | 15% | 23 May → | ||
| 13–8 | 0.07 | 18% | 23 May → | ||
| 7–13 | 0.03 | 27% | 22 May → | ||
| 13–7 | 0.04 | 17% | 20 May → | ||
| 13–11 | 0.00 | 16% | 20 May → | ||
| 11–13 | -0.00 | 16% | 15 May → | ||
| 13–8 | 0.09 | 21% | 15 May → | ||
| 11–13 | -0.01 | 24% | 12 May → | ||
| 7–13 | 0.01 | 21% | 8 May → | ||
| 13–6 | 0.02 | 19% | 6 May → | ||
| 13–8 | 0.07 | 24% | 6 May → | ||
| 8–13 | -0.01 | 17% | 4 May → | ||
| 13–3 | 0.04 | 30% | 4 May → | ||
| 9–13 | 0.03 | 24% | 4 May → | ||
| 9–13 | 0.01 | 13% | 1 May → | ||
| 13–8 | 0.01 | 17% | 1 May → | ||
| 13–7 | -0.01 | 24% | 1 May → | ||
| 13–10 | 0.00 | 18% | 1 May → | ||
| 9–13 | -0.00 | 13% | 1 May → | ||
| 13–8 | 0.07 | 13% | 30 Apr → | ||
| 13–10 | 0.03 | 24% | 30 Apr → | ||
| 6–13 | -0.05 | 33% | 30 Apr → | ||
| 13–4 | 0.00 | 29% | 30 Apr → | ||
| 15–15 | -0.01 | 37% | 30 Apr → | ||
| 12–16 | -0.03 | 25% | 29 Apr → | ||
| 10–13 | 0.04 | 14% | 29 Apr → | ||
| 16–14 | 0.02 | 16% | 29 Apr → | ||
| 13–16 | -0.07 | 17% | 28 Apr → | ||
| 13–11 | 0.00 | 20% | 28 Apr → | ||
| 2–13 | 0.05 | 15% | 27 Apr → | ||
| 6–13 | -0.06 | 5% | 27 Apr → | ||
| 9–13 | -0.04 | 15% | 26 Apr → | ||
| 13–7 | 0.01 | 15% | 26 Apr → | ||
| 15–15 | -0.06 | 13% | 23 Apr → | ||
| 11–13 | 0.00 | 16% | 22 Apr → | ||
| 7–13 | -0.03 | 13% | 22 Apr → | ||
| 13–1 | 0.03 | 18% | 21 Apr → | ||
| 14–16 | -0.04 | 20% | 20 Apr → | ||
| 13–9 | -0.03 | 14% | 20 Apr → | ||
| 9–13 | 0.07 | 19% | 19 Apr → | ||
| 15–15 | 0.04 | 17% | 19 Apr → | ||
| 9–13 | -0.04 | 14% | 17 Apr → | ||
| 12–16 | 0.00 | 13% | 16 Apr → | ||
| 9–13 | -0.01 | 15% | 13 Apr → | ||
| 13–8 | -0.02 | 29% | 11 Apr → | ||
| 13–7 | 0.04 | 17% | 3 Apr → | ||
| 13–4 | 0.06 | 28% | 3 Apr → | ||
| 16–14 | 0.01 | 16% | 31 Mar → | ||
| 13–8 | 0.08 | 9% | 31 Mar → | ||
| 10–13 | 0.00 | 15% | 28 Mar → | ||
| 6–13 | -0.03 | 22% | 26 Mar → | ||
| 15–15 | 0.00 | 18% | 25 Mar → | ||
| 11–13 | -0.00 | 9% | 19 Mar → | ||
| 13–10 | 0.00 | 15% | 19 Mar → | ||
| 11–13 | -0.04 | 19% | 17 Mar → | ||
| 10–13 | -0.02 | 10% | 17 Mar → | ||
| 13–8 | 0.02 | 20% | 16 Mar → | ||
| 2–13 | -0.00 | 16% | 16 Mar → | ||
| 16–12 | 0.04 | 13% | 17 Feb → | ||
| 11–13 | 0.05 | 24% | 10 Feb → | ||
| 11–13 | -0.01 | 15% | 26 Jan → | ||
| 13–1 | 0.09 | 20% | 1 Jan → | ||
| 10–13 | 0.00 | 20% | 30 Dec → | ||
| 4–13 | 0.03 | 21% | 30 Dec → | ||
| 16–12 | 0.02 | 9% | 22 Dec → | ||
| 5–13 | -0.07 | 25% | 4 Nov → | ||
| 13–6 | 0.01 | 20% | 23 Oct → | ||
| 13–4 | 0.04 | 20% | 23 Oct → | ||
| 8–13 | -0.04 | 16% | 17 Oct → | ||
| 16–14 | 0.06 | 23% | 14 Oct → | ||
| 13–10 | -0.00 | 26% | 14 Oct → | ||
| 13–9 | -0.02 | 12% | 26 Aug → | ||
| 12–16 | 0.00 | 17% | 25 Aug → | ||
| 13–11 | -0.03 | 18% | 24 Aug → | ||
| 7–13 | -0.01 | 18% | 24 Aug → | ||
| 13–11 | 0.06 | 19% | 23 Aug → | ||
| 8–13 | 0.01 | 15% | 20 Aug → | ||
| 11–13 | -0.01 | 31% | 19 Aug → | ||
| 13–8 | -0.02 | 11% | 19 Aug → | ||
| 4–13 | -0.04 | 17% | 19 Aug → | ||
| 10–13 | 0.05 | 22% | 18 Aug → | ||
| 5–13 | -0.01 | 31% | 18 Aug → | ||
| 13–8 | -0.03 | 16% | 11 Aug → | ||
| 15–15 | -0.02 | 8% | 11 Aug → |
Match data via Leetify.