Pitahay — CS2 Stats
76561198097690664[U:1:137424936]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective 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 sh1ro 88% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.81 enemies blinded per flash — utility that consistently lands.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 61% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 594ms 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 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | A | 21 | 12–9 | 57% | 0.03 |
 nuke | S | 18 | 12–6 | 67% | 0.04 |
 inferno | A | 17 | 10–7 | 59% | 0.02 |
 train | S | 15 | 10–5 | 67% | 0.02 |
 anubis | A | 10 | 6–4 | 60% | 0.03 |
 ancient | S | 9 | 6–3 | 67% | 0.04 |
 dust2 | B | 8 | 4–4 | 50% | 0.00 |
 overpass | — | 1 | 1–0 | 100% | 0.02 |
| jura | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 166 | 54% | 1.26 | 17.5 |
| Nuke | 122 | 58% | 1.21 | 17.9 |
| Inferno | 95 | 52% | 1.19 | 16.3 |
| Ancient | 86 | 52% | 1.21 | 17.0 |
| Train | 68 | 63% | 1.24 | 16.8 |
| Anubis | 29 | 48% | 1.16 | 16.5 |
| Dust2 | 16 | 44% | 1.00 | 15.1 |
| Vertigo | 11 | 55% | 1.19 | 19.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–6 | -0.00 | 29% | 4 Jan → | |
| train | 13–4 | 0.04 | 28% | 3 Jan → | |
| nuke | 13–3 | 0.05 | 23% | 17 Nov → | |
| nuke | 13–4 | 0.15 | 23% | 17 Nov → | |
| train | 9–13 | -0.01 | 14% | 17 Nov → | |
| mirage | 2–13 | -0.08 | 14% | 16 Sept → | |
| dust2 | 13–10 | 0.03 | 28% | 16 Sept → | |
| nuke | 11–13 | 0.03 | 31% | 16 Sept → | |
| train | 2–13 | -0.00 | 29% | 16 Sept → | |
| nuke | 7–13 | -0.01 | 28% | 7 Aug → | |
| mirage | 8–13 | 0.06 | 19% | 6 Aug → | |
| inferno | 13–6 | -0.08 | 21% | 6 Aug → | |
| nuke | 13–7 | 0.10 | 32% | 6 Aug → | |
| mirage | 12–12 | 0.09 | 27% | 5 Aug → | |
| overpass | 13–10 | 0.02 | 31% | 29 Jul → | |
| train | 7–13 | -0.01 | 14% | 14 Jul → | |
| nuke | 13–10 | 0.07 | 27% | 14 Jul → | |
| mirage | 13–8 | 0.10 | 19% | 14 Jul → | |
| mirage | 13–1 | 0.06 | 19% | 14 Jul → | |
| dust2 | 13–5 | -0.01 | 30% | 14 Jul → | |
| ancient | 16–13 | 0.05 | 17% | 14 Jul → | |
| dust2 | 0–13 | -0.05 | 43% | 1 Jul → | |
| nuke | 13–9 | 0.12 | 25% | 15 Jun → | |
| nuke | 13–5 | 0.05 | 30% | 14 May → | |
| jura | 10–5 | 0.02 | 33% | 11 May → | |
| anubis | 13–4 | 0.05 | 23% | 10 May → | |
| inferno | 13–8 | 0.06 | 15% | 10 May → | |
| mirage | 13–3 | -0.01 | 32% | 10 May → | |
| inferno | 13–11 | -0.01 | 25% | 9 May → | |
| nuke | 13–4 | 0.13 | 35% | 3 May → | |
| nuke | 14–16 | -0.02 | 19% | 18 Apr → | |
| ancient | 7–13 | 0.07 | 19% | 18 Apr → | |
| train | 13–7 | 0.07 | 21% | 17 Apr → | |
| mirage | 13–5 | 0.07 | 23% | 17 Apr → | |
| mirage | 1–13 | 0.01 | 29% | 14 Apr → | |
| ancient | 13–4 | 0.05 | 30% | 7 Apr → | |
| dust2 | 10–13 | -0.01 | 16% | 24 Mar → | |
| inferno | 9–13 | 0.07 | 23% | 23 Mar → | |
| nuke | 5–13 | -0.01 | 16% | 10 Mar → | |
| inferno | 9–13 | 0.06 | 24% | 10 Mar → | |
| mirage | 13–4 | 0.02 | 18% | 9 Mar → | |
| mirage | 13–10 | -0.01 | 18% | 9 Mar → | |
| inferno | 13–5 | 0.02 | 18% | 9 Mar → | |
| train | 13–8 | 0.02 | 35% | 9 Mar → | |
| nuke | 9–13 | -0.02 | 26% | 2 Mar → | |
| ancient | 13–9 | 0.01 | 15% | 1 Mar → | |
| mirage | 13–2 | 0.08 | 30% | 1 Mar → | |
| inferno | 13–4 | -0.01 | 14% | 1 Mar → | |
| dust2 | 13–5 | 0.04 | 23% | 1 Mar → | |
| mirage | 13–10 | 0.07 | 22% | 1 Mar → | |
| train | 12–4 | 0.07 | 28% | 27 Feb → | |
| ancient | 8–13 | 0.04 | 13% | 27 Feb → | |
| inferno | 3–13 | 0.02 | 39% | 27 Feb → | |
| inferno | 4–13 | -0.10 | 10% | 25 Feb → | |
| nuke | 13–9 | 0.04 | 16% | 24 Feb → | |
| mirage | 13–7 | -0.03 | 14% | 24 Feb → | |
| anubis | 13–11 | -0.00 | 21% | 20 Feb → | |
| inferno | 7–13 | 0.00 | 22% | 20 Feb → | |
| mirage | 13–16 | 0.07 | 22% | 18 Feb → | |
| ancient | 13–3 | -0.01 | 7% | 17 Feb → | |
| train | 13–5 | 0.02 | 19% | 16 Feb → | |
| nuke | 16–14 | -0.04 | 19% | 16 Feb → | |
| train | 16–14 | -0.01 | 24% | 15 Feb → | |
| inferno | 13–4 | 0.00 | 35% | 14 Feb → | |
| anubis | 13–7 | 0.05 | 14% | 14 Feb → | |
| mirage | 9–13 | 0.02 | 18% | 6 Feb → | |
| anubis | 13–4 | 0.05 | 23% | 4 Feb → | |
| anubis | 11–13 | 0.07 | 17% | 31 Jan → | |
| inferno | 13–2 | 0.23 | 23% | 31 Jan → | |
| mirage | 11–13 | 0.07 | 19% | 30 Jan → | |
| anubis | 1–13 | -0.01 | 24% | 27 Jan → | |
| dust2 | 13–2 | -0.02 | 20% | 27 Jan → | |
| inferno | 13–11 | -0.08 | 11% | 26 Jan → | |
| inferno | 2–13 | 0.03 | 38% | 26 Jan → | |
| train | 7–13 | 0.01 | 16% | 19 Jan → | |
| inferno | 13–9 | 0.09 | 16% | 15 Jan → | |
| anubis | 13–4 | 0.06 | 17% | 15 Jan → | |
| nuke | 1–13 | -0.09 | 18% | 13 Jan → | |
| train | 13–9 | 0.11 | 20% | 3 Jan → | |
| anubis | 11–13 | 0.01 | 19% | 3 Jan → | |
| mirage | 7–13 | -0.02 | 23% | 3 Jan → | |
| mirage | 13–4 | -0.01 | 11% | 2 Jan → | |
| anubis | 12–12 | -0.01 | 18% | 2 Jan → | |
| ancient | 13–3 | 0.09 | 15% | 2 Jan → | |
| nuke | 13–7 | 0.15 | 32% | 26 Dec → | |
| anubis | 13–5 | 0.04 | 18% | 26 Dec → | |
| inferno | 13–4 | 0.08 | 29% | 26 Dec → | |
| mirage | 13–5 | 0.01 | 26% | 26 Dec → | |
| ancient | 13–1 | 0.05 | 23% | 26 Dec → | |
| train | 13–1 | 0.08 | 22% | 26 Dec → | |
| train | 13–4 | 0.03 | 27% | 23 Dec → | |
| nuke | 13–6 | -0.03 | 17% | 23 Dec → | |
| ancient | 6–13 | 0.01 | 27% | 22 Dec → | |
| train | 6–13 | -0.08 | 19% | 22 Dec → | |
| dust2 | 7–13 | -0.02 | 25% | 19 Dec → | |
| mirage | 11–13 | -0.00 | 17% | 18 Dec → | |
| train | 13–7 | 0.01 | 22% | 18 Dec → | |
| inferno | 12–12 | -0.01 | 26% | 18 Dec → | |
| mirage | 13–3 | 0.08 | 20% | 13 Dec → | |
| dust2 | 6–13 | 0.07 | 23% | 13 Dec → |
Match data via Leetify.