★ Professional Hater — CS2 Stats
76561199052467062[U:1:1092201334]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 ropz 85% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: 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
Reaction time. 623ms 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 |
|---|---|---|---|---|---|
 dust2 | A | 27 | 15–12 | 56% | -0.02 |
 inferno | B | 23 | 11–12 | 48% | -0.01 |
 nuke | S | 16 | 11–5 | 69% | 0.00 |
 overpass | C | 10 | 4–6 | 40% | -0.02 |
 ancient | S | 6 | 4–2 | 67% | -0.01 |
 anubis | D | 6 | 1–5 | 17% | -0.00 |
 mirage | D | 6 | 2–4 | 33% | -0.00 |
| office | — | 2 | 1–1 | 50% | -0.01 |
 train | — | 2 | 0–2 | 0% | -0.00 |
 cache | — | 1 | 1–0 | 100% | -0.02 |
| alpine | — | 1 | 1–0 | 100% | -0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis 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 |
|---|---|---|---|---|
| Inferno | 3 | 67% | 1.03 | 16.3 |
| Mirage | 3 | 33% | 1.47 | 17.7 |
| Dust2 | 3 | 67% | 1.24 | 18.7 |
| Anubis | 1 | 0% | 0.56 | 9.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4244 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 7–13 | -0.04 | 16% | 11 Jun → | |
| ancient | 13–6 | -0.01 | 21% | 11 Jun → | |
| dust2 | 13–8 | -0.02 | 14% | 9 Jun → | |
| dust2 | 5–13 | -0.07 | 29% | 8 Jun → | |
| inferno | 13–5 | -0.00 | 22% | 7 Jun → | |
| overpass | 13–9 | -0.04 | 12% | 3 Jun → | |
| inferno | 13–10 | 0.06 | 23% | 3 Jun → | |
| anubis | 13–5 | 0.02 | 11% | 3 Jun → | |
| overpass | 13–7 | -0.01 | 18% | 3 Jun → | |
| ancient | 5–13 | -0.05 | 26% | 2 Jun → | |
| dust2 | 13–4 | 0.01 | 14% | 2 Jun → | |
| dust2 | 3–13 | -0.04 | 10% | 1 Jun → | |
| inferno | 7–13 | 0.00 | 25% | 1 Jun → | |
| nuke | 13–7 | 0.06 | 26% | 30 May → | |
| dust2 | 13–16 | -0.05 | 24% | 30 May → | |
| nuke | 13–10 | 0.04 | 16% | 30 May → | |
| overpass | 8–13 | -0.00 | 18% | 26 May → | |
| inferno | 13–3 | 0.03 | 16% | 26 May → | |
| dust2 | 5–13 | -0.02 | 28% | 25 May → | |
| anubis | 4–13 | -0.09 | 23% | 24 May → | |
| nuke | 13–9 | 0.02 | 24% | 24 May → | |
| dust2 | 14–16 | -0.00 | 21% | 24 May → | |
| dust2 | 13–8 | -0.07 | 14% | 23 May → | |
| ancient | 13–9 | -0.02 | 22% | 23 May → | |
| inferno | 13–6 | -0.03 | 19% | 23 May → | |
| mirage | 13–1 | 0.11 | 36% | 23 May → | |
| overpass | 13–7 | -0.01 | 21% | 21 May → | |
| dust2 | 11–13 | -0.01 | 16% | 21 May → | |
| nuke | 10–13 | 0.03 | 15% | 20 May → | |
| nuke | 13–7 | 0.01 | 11% | 19 May → | |
| overpass | 15–15 | -0.04 | 10% | 18 May → | |
| nuke | 13–8 | -0.01 | 24% | 18 May → | |
| dust2 | 13–8 | -0.04 | 18% | 17 May → | |
| ancient | 13–10 | -0.01 | 21% | 17 May → | |
| dust2 | 13–6 | 0.01 | 23% | 17 May → | |
| inferno | 4–13 | 0.01 | 24% | 17 May → | |
| dust2 | 13–8 | 0.00 | 19% | 17 May → | |
| inferno | 13–6 | -0.01 | 23% | 17 May → | |
| dust2 | 13–11 | 0.04 | 19% | 16 May → | |
| inferno | 8–13 | -0.04 | 30% | 16 May → | |
| office | 9–13 | -0.02 | 30% | 16 May → | |
| inferno | 4–13 | -0.07 | 20% | 16 May → | |
| mirage | 3–13 | -0.03 | 24% | 1 May → | |
| dust2 | 11–13 | 0.01 | 15% | 1 May → | |
| overpass | 11–13 | 0.00 | 17% | 1 May → | |
| nuke | 13–4 | 0.00 | 23% | 1 May → | |
| overpass | 13–16 | -0.05 | 20% | 29 Apr → | |
| train | 7–13 | 0.00 | 26% | 28 Apr → | |
| cache | 13–7 | -0.02 | 17% | 28 Apr → | |
| overpass | 11–13 | -0.01 | 11% | 28 Apr → | |
| train | 3–13 | -0.01 | 16% | 28 Apr → | |
| inferno | 14–16 | -0.03 | 13% | 26 Apr → | |
| dust2 | 6–13 | -0.09 | 18% | 25 Apr → | |
| ancient | 9–13 | -0.02 | 15% | 25 Apr → | |
| inferno | 11–13 | -0.00 | 15% | 25 Apr → | |
| alpine | 13–10 | -0.08 | 8% | 23 Apr → | |
| nuke | 13–2 | 0.05 | 20% | 23 Apr → | |
| ancient | 13–3 | 0.05 | 18% | 22 Apr → | |
| dust2 | 16–13 | -0.09 | 11% | 22 Apr → | |
| inferno | 9–13 | -0.05 | 32% | 22 Apr → | |
| dust2 | 11–13 | -0.06 | 17% | 20 Apr → | |
| inferno | 11–13 | 0.04 | 22% | 19 Apr → | |
| mirage | 10–13 | -0.07 | 17% | 16 Apr → | |
| nuke | 5–13 | -0.00 | 21% | 16 Apr → | |
| inferno | 10–13 | 0.05 | 12% | 15 Apr → | |
| dust2 | 13–7 | -0.02 | 22% | 15 Apr → | |
| nuke | 13–10 | 0.02 | 17% | 13 Apr → | |
| dust2 | 6–13 | -0.00 | 24% | 12 Apr → | |
| inferno | 16–12 | -0.01 | 10% | 8 Apr → | |
| nuke | 13–10 | 0.01 | 7% | 4 Apr → | |
| dust2 | 13–10 | -0.05 | 25% | 4 Apr → | |
| inferno | 13–11 | -0.07 | 18% | 2 Apr → | |
| anubis | 7–13 | 0.10 | 17% | 1 Apr → | |
| anubis | 6–13 | -0.02 | 13% | 1 Apr → | |
| mirage | 6–13 | -0.02 | 9% | 31 Mar → | |
| nuke | 15–15 | -0.01 | 12% | 31 Mar → | |
| dust2 | 13–8 | -0.03 | 13% | 30 Mar → | |
| nuke | 7–13 | -0.05 | 10% | 30 Mar → | |
| anubis | 7–13 | -0.06 | 18% | 29 Mar → | |
| dust2 | 13–10 | 0.00 | 28% | 28 Mar → | |
| dust2 | 13–7 | -0.01 | 8% | 28 Mar → | |
| anubis | 11–13 | 0.03 | 19% | 28 Mar → | |
| nuke | 13–9 | -0.03 | 25% | 28 Mar → | |
| inferno | 13–11 | -0.05 | 23% | 28 Mar → | |
| overpass | 9–13 | -0.03 | 14% | 26 Mar → | |
| inferno | 7–13 | -0.04 | 15% | 26 Mar → | |
| inferno | 4–13 | -0.06 | 13% | 26 Mar → | |
| dust2 | 7–13 | -0.03 | 17% | 26 Mar → | |
| nuke | 15–15 | -0.05 | 13% | 25 Mar → | |
| dust2 | 13–1 | 0.05 | 17% | 25 Mar → | |
| inferno | 13–10 | -0.01 | 27% | 24 Mar → | |
| dust2 | 13–5 | 0.02 | 30% | 24 Mar → | |
| mirage | 6–13 | -0.09 | 21% | 24 Mar → | |
| dust2 | 9–13 | 0.02 | 21% | 24 Mar → | |
| overpass | 13–5 | -0.05 | 7% | 24 Mar → | |
| inferno | 13–11 | -0.03 | 30% | 24 Mar → | |
| mirage | 13–5 | 0.08 | 15% | 22 Mar → | |
| nuke | 13–6 | -0.03 | 18% | 22 Mar → | |
| inferno | 13–8 | 0.02 | 14% | 22 Mar → | |
| office | 13–6 | 0.00 | 48% | 19 Mar → |
Match data via Leetify.