. — CS2 Stats
76561199560419868[U:1:1600154140]
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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.
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 Twistzz 91% 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
Reaction time. 555ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
 mirage | C | 35 | 14–21 | 40% | -0.02 |
 dust2 | B | 22 | 10–12 | 45% | -0.02 |
 anubis | S | 15 | 11–4 | 73% | -0.00 |
 ancient | B | 13 | 6–7 | 46% | -0.02 |
 cache | C | 7 | 3–4 | 43% | -0.03 |
 nuke | S | 6 | 5–1 | 83% | -0.01 |
 overpass | — | 1 | 1–0 | 100% | -0.06 |
 inferno | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (40% over 35). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 65 | 42% | 1.18 | 17.1 |
| Dust2 | 53 | 40% | 0.86 | 13.5 |
| Anubis | 44 | 64% | 1.11 | 14.6 |
| Cache | 34 | 56% | 0.97 | 14.8 |
| Ancient | 19 | 58% | 1.09 | 16.3 |
| Inferno | 11 | 45% | 0.79 | 11.4 |
| Nuke | 9 | 67% | 1.11 | 14.6 |
| Overpass | 2 | 100% | 1.02 | 13.5 |
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 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.1456% — below the 15% mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 33.9737% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 12–12 | 0.05 | 21% | 28 Aug → | |
| anubis | 13–8 | 0.01 | 21% | 27 Aug → | |
| dust2 | 7–13 | -0.09 | 10% | 27 Aug → | |
| mirage | 13–11 | 0.04 | 12% | 27 Aug → | |
| mirage | 8–13 | -0.02 | 18% | 27 Aug → | |
| mirage | 13–8 | 0.03 | 13% | 26 Aug → | |
| mirage | 10–13 | -0.06 | 7% | 26 Aug → | |
| dust2 | 13–11 | -0.03 | 16% | 26 Aug → | |
| mirage | 10–13 | -0.01 | 9% | 25 Aug → | |
| mirage | 9–13 | 0.01 | 10% | 23 Aug → | |
| cache | 6–13 | 0.00 | 4% | 22 Aug → | |
| ancient | 13–11 | 0.09 | 11% | 22 Aug → | |
| mirage | 13–10 | -0.02 | 9% | 21 Aug → | |
| dust2 | 13–8 | 0.04 | 14% | 20 Aug → | |
| anubis | 7–13 | 0.01 | 9% | 20 Aug → | |
| cache | 13–9 | -0.03 | 17% | 19 Aug → | |
| mirage | 25–23 | 0.02 | 17% | 17 Aug → | |
| dust2 | 13–6 | 0.01 | 7% | 17 Aug → | |
| dust2 | 16–14 | -0.02 | 9% | 17 Aug → | |
| dust2 | 0–12 | -0.06 | 7% | 9 Aug → | |
| anubis | 13–7 | 0.08 | 18% | 8 Aug → | |
| dust2 | 16–14 | -0.03 | 15% | 8 Aug → | |
| mirage | 13–9 | 0.03 | 7% | 7 Aug → | |
| anubis | 16–14 | 0.02 | 8% | 6 Aug → | |
| dust2 | 11–13 | -0.00 | 24% | 6 Aug → | |
| dust2 | 9–13 | 0.00 | 13% | 6 Aug → | |
| anubis | 13–7 | -0.00 | 7% | 19 Jul → | |
| cache | 13–9 | 0.01 | 11% | 19 Jul → | |
| anubis | 14–16 | 0.01 | 8% | 18 Jul → | |
| mirage | 9–13 | 0.00 | 7% | 18 Jul → | |
| cache | 9–13 | -0.09 | 4% | 17 Jul → | |
| mirage | 13–9 | 0.03 | 16% | 13 Jul → | |
| mirage | 13–10 | -0.00 | 16% | 13 Jul → | |
| ancient | 13–10 | 0.04 | 11% | 11 Jul → | |
| dust2 | 7–13 | -0.02 | 12% | 21 Jun → | |
| ancient | 7–13 | -0.00 | 6% | 21 Jun → | |
| anubis | 13–9 | -0.07 | 11% | 20 Jun → | |
| dust2 | 6–13 | -0.10 | 5% | 20 Jun → | |
| ancient | 10–13 | -0.09 | 8% | 19 Jun → | |
| anubis | 13–9 | -0.00 | 2% | 19 Jun → | |
| dust2 | 6–13 | 0.01 | 7% | 19 Jun → | |
| dust2 | 13–7 | 0.02 | 8% | 17 Jun → | |
| dust2 | 13–9 | -0.02 | 10% | 17 Jun → | |
| mirage | 7–13 | -0.10 | 9% | 17 Jun → | |
| cache | 9–13 | -0.09 | 9% | 14 Jun → | |
| mirage | 3–13 | -0.07 | 9% | 14 Jun → | |
| anubis | 13–7 | 0.03 | 21% | 14 Jun → | |
| cache | 11–13 | -0.04 | 9% | 14 Jun → | |
| ancient | 13–10 | -0.06 | 9% | 14 Jun → | |
| mirage | 13–11 | -0.04 | 9% | 13 Jun → | |
| mirage | 11–13 | -0.07 | 5% | 13 Jun → | |
| anubis | 13–9 | -0.06 | 11% | 13 Jun → | |
| dust2 | 9–13 | -0.07 | 3% | 13 Jun → | |
| mirage | 17–19 | -0.00 | 10% | 10 Jun → | |
| nuke | 13–6 | 0.01 | 7% | 10 Jun → | |
| anubis | 13–7 | -0.03 | 4% | 8 Jun → | |
| mirage | 10–13 | -0.07 | 16% | 8 Jun → | |
| ancient | 7–13 | -0.01 | 6% | 8 Jun → | |
| mirage | 10–13 | 0.02 | 18% | 6 Jun → | |
| cache | 25–23 | 0.02 | 13% | 6 Jun → | |
| mirage | 10–13 | -0.06 | 14% | 5 Jun → | |
| overpass | 13–9 | -0.06 | 6% | 5 Jun → | |
| mirage | 13–6 | -0.01 | 13% | 3 Jun → | |
| ancient | 13–16 | -0.03 | 11% | 3 Jun → | |
| mirage | 9–13 | -0.07 | 6% | 3 Jun → | |
| dust2 | 5–13 | -0.00 | 11% | 3 Jun → | |
| anubis | 13–8 | -0.04 | 5% | 3 Jun → | |
| ancient | 13–11 | -0.02 | 8% | 3 Jun → | |
| dust2 | 13–9 | -0.00 | 10% | 2 Jun → | |
| anubis | 8–13 | -0.05 | 16% | 30 May → | |
| ancient | 13–8 | -0.03 | 11% | 26 May → | |
| mirage | 14–16 | -0.03 | 10% | 25 May → | |
| dust2 | 9–13 | -0.07 | 17% | 24 May → | |
| mirage | 13–9 | -0.04 | 12% | 23 May → | |
| anubis | 13–7 | 0.08 | 11% | 23 May → | |
| ancient | 13–4 | -0.06 | 12% | 23 May → | |
| mirage | 13–9 | -0.01 | 11% | 23 May → | |
| anubis | 3–13 | -0.01 | 11% | 23 May → | |
| mirage | 2–5 | -0.09 | 7% | 22 May → | |
| mirage | 9–13 | 0.00 | 13% | 22 May → | |
| mirage | 13–8 | 0.03 | 20% | 22 May → | |
| mirage | 15–15 | -0.05 | 15% | 20 May → | |
| nuke | 13–3 | 0.02 | 25% | 20 May → | |
| nuke | 13–5 | -0.01 | 12% | 20 May → | |
| dust2 | 9–13 | -0.02 | 34% | 20 May → | |
| ancient | 6–13 | -0.04 | 16% | 20 May → | |
| mirage | 13–5 | -0.09 | 8% | 20 May → | |
| mirage | 6–13 | 0.02 | 14% | 19 May → | |
| inferno | 13–11 | 0.04 | 24% | 19 May → | |
| dust2 | 13–8 | -0.06 | 21% | 1 Oct → | |
| dust2 | 13–7 | -0.02 | 18% | 1 Oct → | |
| mirage | 13–9 | 0.04 | 25% | 1 Oct → | |
| ancient | 15–15 | -0.04 | 12% | 16 Sept → | |
| dust2 | 15–15 | 0.02 | 13% | 16 Sept → | |
| ancient | 9–13 | 0.00 | 19% | 16 Sept → | |
| mirage | 9–13 | -0.06 | 27% | 16 Sept → | |
| nuke | 13–8 | -0.03 | 22% | 15 Sept → | |
| mirage | 10–13 | 0.01 | 21% | 15 Sept → | |
| nuke | 13–7 | 0.05 | 22% | 11 Sept → | |
| nuke | 10–13 | -0.10 | 18% | 8 Sept → |
Match data via Leetify.