Yeeeetong — CS2 Stats
76561198878377564[U:1:918111836]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingEffective flashes
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 89% playstyle similarity
Most alike: opening-duel success, 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
Strengths
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 746ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 38 | 19–19 | 50% | -0.01 | |
| C | 31 | 12–19 | 39% | -0.02 | |
| A | 11 | 7–4 | 64% | -0.02 | |
| A | 11 | 6–5 | 55% | -0.02 | |
| — | 3 | 1–2 | 33% | -0.05 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.12 | |
| — | 1 | 0–1 | 0% | -0.10 | |
| — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (39% over 31). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 194 | 51% | 0.94 | 14.1 |
| Dust2 | 141 | 47% | 0.94 | 14.1 |
| Inferno | 89 | 56% | 0.89 | 13.7 |
| Anubis | 65 | 52% | 0.99 | 14.6 |
| Ancient | 34 | 38% | 0.87 | 14.1 |
| Nuke | 18 | 28% | 0.76 | 11.3 |
| Vertigo | 10 | 40% | 1.01 | 14.8 |
| Overpass | 7 | 43% | 0.81 | 16.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 746.4804ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
39% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.03 | 14% | 27 Aug → | ||
| 5–13 | -0.06 | 25% | 26 Aug → | ||
| 13–3 | 0.01 | 29% | 21 Aug → | ||
| 8–13 | -0.01 | 23% | 5 Aug → | ||
| 8–13 | -0.02 | 31% | 4 Aug → | ||
| 13–3 | 0.03 | 21% | 2 Aug → | ||
| 22–19 | -0.02 | 38% | 31 Jul → | ||
| 8–13 | -0.04 | 16% | 28 Jul → | ||
| 3–13 | -0.08 | 27% | 28 Jul → | ||
| 13–9 | -0.04 | 38% | 27 Jul → | ||
| 11–13 | -0.01 | 36% | 3 Jul → | ||
| 8–13 | -0.00 | 18% | 3 Jul → | ||
| 8–13 | -0.11 | 27% | 28 Jun → | ||
| 11–13 | -0.02 | 29% | 27 Jun → | ||
| 13–11 | -0.02 | 15% | 26 Jun → | ||
| 16–14 | -0.02 | 22% | 25 Jun → | ||
| 9–13 | -0.05 | 12% | 23 Jun → | ||
| 13–10 | 0.06 | 21% | 22 Jun → | ||
| 9–13 | -0.08 | 35% | 22 Jun → | ||
| 13–8 | 0.01 | 32% | 21 Jun → | ||
| 13–7 | -0.03 | 23% | 21 Jun → | ||
| 13–8 | 0.02 | 30% | 21 Jun → | ||
| 13–11 | 0.00 | 28% | 21 Jun → | ||
| 8–13 | -0.02 | 14% | 19 Jun → | ||
| 10–13 | -0.06 | 11% | 19 Jun → | ||
| 13–7 | -0.00 | 32% | 24 May → | ||
| 11–13 | -0.01 | 26% | 23 May → | ||
| 13–16 | 0.02 | 19% | 9 May → | ||
| 13–8 | -0.07 | 25% | 30 Apr → | ||
| 13–7 | 0.02 | 23% | 30 Apr → | ||
| 5–13 | -0.06 | 19% | 29 Apr → | ||
| 11–13 | -0.12 | 25% | 29 Apr → | ||
| 13–9 | -0.00 | 19% | 27 Apr → | ||
| 16–12 | 0.02 | 16% | 27 Apr → | ||
| 6–13 | -0.07 | 5% | 27 Apr → | ||
| 13–5 | 0.00 | 25% | 27 Apr → | ||
| 8–13 | -0.01 | 22% | 25 Apr → | ||
| 13–9 | 0.00 | 22% | 24 Apr → | ||
| 13–0 | 0.03 | 29% | 24 Apr → | ||
| 13–11 | -0.01 | 22% | 23 Apr → | ||
| 10–13 | -0.05 | 35% | 21 Apr → | ||
| 7–2 | 0.02 | 35% | 20 Apr → | ||
| 13–8 | -0.05 | 17% | 20 Apr → | ||
| 5–13 | -0.05 | 36% | 20 Apr → | ||
| 13–6 | 0.01 | 23% | 18 Apr → | ||
| 6–13 | -0.06 | 42% | 18 Apr → | ||
| 14–16 | -0.02 | 20% | 17 Apr → | ||
| 9–13 | -0.10 | 33% | 14 Apr → | ||
| 8–13 | -0.02 | 29% | 3 Apr → | ||
| 10–13 | 0.03 | 47% | 3 Apr → | ||
| 11–13 | 0.02 | 22% | 2 Apr → | ||
| 10–13 | -0.00 | 26% | 26 Mar → | ||
| 13–10 | -0.08 | 25% | 23 Feb → | ||
| 13–3 | -0.01 | 35% | 22 Feb → | ||
| 13–10 | 0.04 | 37% | 21 Feb → | ||
| 13–8 | -0.03 | 50% | 21 Feb → | ||
| 13–6 | -0.03 | 29% | 17 Feb → | ||
| 13–2 | 0.10 | 39% | 17 Feb → | ||
| 14–16 | -0.01 | 35% | 16 Feb → | ||
| 10–13 | -0.06 | 25% | 16 Feb → | ||
| 3–13 | -0.12 | 29% | 16 Feb → | ||
| 13–10 | 0.02 | 22% | 14 Feb → | ||
| 16–13 | -0.01 | 23% | 14 Feb → | ||
| 16–14 | 0.02 | 33% | 13 Feb → | ||
| 6–13 | -0.03 | 32% | 13 Feb → | ||
| 13–9 | 0.00 | 32% | 12 Feb → | ||
| 15–19 | -0.05 | 24% | 12 Feb → | ||
| 12–16 | -0.03 | 36% | 10 Feb → | ||
| 13–6 | 0.05 | 37% | 6 Feb → | ||
| 4–13 | -0.04 | 89% | 6 Feb → | ||
| 10–13 | -0.05 | 35% | 5 Feb → | ||
| 13–11 | 0.03 | 49% | 29 Jan → | ||
| 8–13 | -0.03 | 23% | 23 Jan → | ||
| 13–3 | 0.02 | 16% | 23 Jan → | ||
| 13–10 | -0.01 | 21% | 23 Jan → | ||
| 13–9 | -0.03 | 24% | 21 Jan → | ||
| 6–13 | -0.11 | 0% | 25 Dec → | ||
| 11–13 | 0.01 | 35% | 24 Dec → | ||
| 8–13 | -0.04 | 21% | 24 Dec → | ||
| 7–13 | -0.08 | 47% | 20 Dec → | ||
| 3–13 | -0.03 | 36% | 20 Dec → | ||
| 6–13 | 0.01 | 18% | 12 Dec → | ||
| 13–8 | -0.03 | 21% | 11 Dec → | ||
| 16–12 | -0.06 | 22% | 30 Nov → | ||
| 13–10 | -0.04 | 24% | 1 Sept → | ||
| 13–9 | -0.02 | 26% | 31 Aug → | ||
| 13–16 | 0.03 | 27% | 26 Aug → | ||
| 13–1 | 0.06 | 25% | 24 Aug → | ||
| 16–13 | -0.06 | 18% | 22 Aug → | ||
| 11–13 | -0.00 | 21% | 20 Aug → | ||
| 5–13 | -0.00 | 28% | 20 Aug → | ||
| 13–11 | -0.02 | 24% | 19 Aug → | ||
| 11–13 | -0.03 | 23% | 19 Aug → | ||
| 5–13 | -0.04 | 27% | 18 Aug → | ||
| 1–13 | -0.07 | 17% | 18 Aug → | ||
| 7–13 | -0.00 | 28% | 16 Aug → | ||
| 10–13 | -0.00 | 30% | 14 Aug → | ||
| 13–5 | 0.04 | 29% | 14 Aug → | ||
| 11–13 | -0.00 | 36% | 13 Aug → | ||
| 5–13 | 0.07 | 53% | 12 Aug → |
Match data via Leetify.