Whycai — CS2 Stats
76561198195849801[U:1:235584073]
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 NiKo 70% 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
CT openings. Opening success drops from 41% on T to 22% on CT — first contacts on the defending side are being lost.
Reaction time. 693ms 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 3.6/10 (Learning), 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 |
|---|---|---|---|---|---|
 mirage | B | 32 | 15–17 | 47% | 0.01 |
 inferno | C | 16 | 6–10 | 38% | -0.01 |
 nuke | S | 13 | 9–4 | 69% | 0.02 |
 ancient | C | 9 | 4–5 | 44% | -0.01 |
 dust2 | A | 9 | 5–4 | 56% | 0.03 |
 anubis | S | 6 | 4–2 | 67% | 0.03 |
 overpass | B | 6 | 3–3 | 50% | 0.02 |
 train | C | 5 | 2–3 | 40% | 0.02 |
 vertigo | — | 3 | 2–1 | 67% | 0.03 |
| grail | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1 | 0% | 0.31 | 5.0 |
| Dust2 | 1 | 0% | 0.62 | 10.0 |
| Train | 1 | 100% | 1.18 | 13.0 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.0685° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 10–13 | 0.01 | 16% | 11 May → | |
| inferno | 11–13 | -0.00 | 20% | 23 Mar → | |
| anubis | 13–6 | 0.09 | 10% | 8 Mar → | |
| mirage | 6–13 | -0.05 | 23% | 17 Dec → | |
| nuke | 13–3 | -0.00 | 26% | 16 Dec → | |
| mirage | 9–1 | 0.01 | 33% | 16 Dec → | |
| anubis | 1–11 | -0.03 | 20% | 12 Dec → | |
| nuke | 13–6 | 0.02 | 32% | 12 Dec → | |
| train | 13–4 | -0.00 | 21% | 7 Sept → | |
| ancient | 13–8 | -0.03 | 17% | 6 Sept → | |
| mirage | 13–8 | -0.00 | 7% | 6 Sept → | |
| dust2 | 13–10 | 0.04 | 22% | 31 Aug → | |
| mirage | 10–13 | -0.00 | 7% | 31 Aug → | |
| overpass | 13–8 | 0.02 | 11% | 30 Aug → | |
| mirage | 8–13 | -0.04 | 17% | 9 Aug → | |
| dust2 | 13–5 | -0.02 | 9% | 9 Aug → | |
| mirage | 2–13 | -0.08 | 12% | 9 Aug → | |
| nuke | 13–11 | -0.03 | 12% | 8 Aug → | |
| train | 8–13 | -0.04 | 5% | 23 May → | |
| train | 13–2 | 0.05 | 22% | 23 May → | |
| mirage | 7–13 | 0.02 | 14% | 23 May → | |
| nuke | 13–4 | 0.00 | 15% | 23 May → | |
| dust2 | 13–4 | 0.09 | 20% | 22 May → | |
| train | 11–13 | 0.03 | 15% | 22 May → | |
| dust2 | 6–13 | -0.02 | 5% | 21 May → | |
| ancient | 5–13 | -0.01 | 15% | 21 May → | |
| grail | 13–11 | 0.03 | 17% | 18 May → | |
| mirage | 16–13 | -0.07 | 10% | 6 Mar → | |
| mirage | 13–8 | -0.00 | 11% | 6 Mar → | |
| mirage | 0–6 | -0.08 | 25% | 6 Mar → | |
| ancient | 13–11 | -0.03 | 24% | 6 Mar → | |
| train | 6–13 | 0.05 | 10% | 2 Mar → | |
| mirage | 13–8 | 0.00 | 17% | 2 Mar → | |
| dust2 | 8–13 | 0.10 | 18% | 2 Mar → | |
| inferno | 2–13 | -0.08 | 3% | 2 Mar → | |
| dust2 | 13–4 | -0.01 | 21% | 17 Feb → | |
| mirage | 8–13 | -0.02 | 20% | 17 Feb → | |
| inferno | 13–8 | 0.02 | 20% | 12 Feb → | |
| mirage | 13–3 | 0.04 | 19% | 12 Feb → | |
| mirage | 10–13 | 0.06 | 16% | 29 Sept → | |
| inferno | 2–13 | -0.08 | 32% | 28 Sept → | |
| mirage | 6–13 | -0.07 | 10% | 9 Sept → | |
| dust2 | 13–16 | -0.01 | 16% | 7 Sept → | |
| anubis | 13–9 | -0.03 | 23% | 7 Sept → | |
| mirage | 13–4 | -0.03 | 41% | 6 Sept → | |
| mirage | 15–15 | 0.01 | 24% | 3 Sept → | |
| dust2 | 9–13 | -0.02 | 15% | 4 Jun → | |
| dust2 | 13–4 | 0.09 | 40% | 4 Jun → | |
| inferno | 13–5 | 0.10 | 24% | 26 Jan → | |
| nuke | 6–13 | 0.01 | 22% | 26 Jan → | |
| ancient | 6–13 | -0.01 | 22% | 21 Jan → | |
| mirage | 13–5 | 0.11 | 18% | 20 Jan → | |
| mirage | 10–13 | 0.03 | 21% | 19 Jan → | |
| ancient | 14–16 | 0.07 | 6% | 16 Jan → | |
| ancient | 13–10 | -0.01 | 14% | 15 Jan → | |
| mirage | 8–0 | 0.13 | 15% | 12 Jan → | |
| mirage | 13–2 | 0.05 | 30% | 8 Jan → | |
| nuke | 13–4 | 0.08 | 13% | 7 Jan → | |
| overpass | 9–13 | -0.03 | 14% | 7 Jan → | |
| nuke | 15–15 | 0.01 | 13% | 7 Jan → | |
| inferno | 13–9 | 0.08 | 11% | 6 Jan → | |
| inferno | 4–13 | -0.11 | 18% | 5 Jan → | |
| mirage | 13–9 | -0.01 | 9% | 4 Jan → | |
| mirage | 6–13 | -0.08 | 9% | 4 Jan → | |
| inferno | 13–7 | 0.00 | 11% | 4 Jan → | |
| mirage | 8–13 | 0.01 | 13% | 4 Jan → | |
| overpass | 13–8 | 0.07 | 14% | 2 Jan → | |
| ancient | 13–6 | 0.01 | 19% | 1 Jan → | |
| anubis | 13–7 | 0.10 | 19% | 21 Dec → | |
| mirage | 10–13 | 0.10 | 15% | 14 Dec → | |
| inferno | 8–13 | -0.04 | 22% | 14 Dec → | |
| nuke | 13–7 | -0.00 | 20% | 11 Dec → | |
| mirage | 4–13 | 0.02 | 23% | 7 Dec → | |
| ancient | 0–9 | -0.06 | 17% | 6 Dec → | |
| overpass | 9–13 | -0.01 | 17% | 6 Dec → | |
| mirage | 5–13 | -0.05 | 14% | 6 Dec → | |
| vertigo | 13–7 | 0.03 | 15% | 6 Dec → | |
| nuke | 16–13 | -0.03 | 18% | 5 Dec → | |
| mirage | 13–10 | -0.01 | 14% | 5 Dec → | |
| vertigo | 13–3 | 0.15 | 13% | 5 Dec → | |
| anubis | 13–10 | 0.05 | 6% | 4 Dec → | |
| nuke | 15–15 | 0.05 | 11% | 4 Dec → | |
| nuke | 13–0 | 0.06 | 29% | 4 Dec → | |
| overpass | 10–13 | 0.00 | 14% | 30 Nov → | |
| mirage | 13–6 | 0.05 | 13% | 29 Nov → | |
| mirage | 13–9 | 0.07 | 22% | 29 Nov → | |
| inferno | 9–13 | -0.04 | 15% | 29 Nov → | |
| inferno | 13–4 | 0.03 | 29% | 27 Nov → | |
| nuke | 16–14 | 0.11 | 19% | 27 Nov → | |
| vertigo | 2–13 | -0.08 | 18% | 26 Nov → | |
| inferno | 5–13 | -0.03 | 9% | 26 Nov → | |
| anubis | 2–13 | -0.02 | 16% | 25 Nov → | |
| ancient | 7–13 | -0.02 | 21% | 25 Nov → | |
| mirage | 13–5 | -0.00 | 28% | 25 Nov → | |
| inferno | 11–13 | 0.02 | 18% | 18 Nov → | |
| mirage | 11–13 | 0.08 | 19% | 17 Nov → | |
| nuke | 5–13 | -0.02 | 15% | 17 Nov → | |
| inferno | 5–13 | -0.03 | 26% | 17 Nov → | |
| overpass | 13–7 | 0.03 | 15% | 16 Nov → | |
| inferno | 13–11 | 0.04 | 16% | 15 Nov → |
Match data via Leetify.