May — CS2 Stats
BR76561198238734222[U:1:278468494]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.04 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 90% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Reaction time. 583ms 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 (×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 |
|---|---|---|---|---|---|
| S | 25 | 18–7 | 72% | 0.04 | |
| B | 14 | 7–7 | 50% | -0.04 | |
| S | 13 | 12–1 | 92% | 0.06 | |
| palacio | S | 9 | 7–2 | 78% | 0.03 |
| B | 8 | 4–4 | 50% | -0.00 | |
| S | 7 | 6–1 | 86% | 0.02 | |
| B | 6 | 3–3 | 50% | -0.00 | |
| — | 4 | 3–1 | 75% | 0.04 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.07 | |
| office | — | 3 | 2–1 | 67% | 0.02 |
| — | 2 | 1–1 | 50% | -0.08 | |
| italy | — | 1 | 0–1 | 0% | -0.03 |
| golden | — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (50% over 14). 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 9 | 56% | 0.97 | 15.6 |
| Dust2 | 6 | 33% | 0.74 | 12.2 |
| Train | 4 | 75% | 1.15 | 15.8 |
| Nuke | 3 | 0% | 0.74 | 13.7 |
| Anubis | 1 | 100% | 1.13 | 17.0 |
| Ancient | 1 | 0% | 1.79 | 34.0 |
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 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 13.9214% — 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 37.2363% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.03 | 9% | 22 Aug → | ||
| 13–9 | 0.02 | 0% | 22 Aug → | ||
| 13–7 | -0.00 | 14% | 22 Aug → | ||
| 2–13 | -0.10 | 4% | 18 Aug → | ||
| 15–15 | -0.07 | 11% | 17 Aug → | ||
| 1–13 | -0.16 | 43% | 16 Aug → | ||
| 13–11 | 0.05 | 12% | 16 Aug → | ||
| 7–13 | -0.05 | 12% | 16 Aug → | ||
| 13–6 | -0.01 | 17% | 13 Aug → | ||
| 13–10 | -0.03 | 16% | 13 Aug → | ||
| 13–8 | 0.03 | 15% | 12 Aug → | ||
| 13–6 | -0.10 | 12% | 12 Aug → | ||
| 9–13 | -0.03 | 17% | 8 Aug → | ||
| 13–8 | 0.00 | 15% | 8 Aug → | ||
| 3–13 | -0.02 | 5% | 8 Aug → | ||
| 13–9 | 0.05 | 11% | 8 Aug → | ||
| 13–3 | 0.11 | 21% | 8 Aug → | ||
| 13–5 | -0.01 | 0% | 8 Aug → | ||
| 13–7 | -0.03 | 17% | 8 Aug → | ||
| 12–12 | -0.00 | 19% | 8 Aug → | ||
| 13–10 | 0.05 | 18% | 7 Aug → | ||
| 13–9 | 0.04 | 6% | 7 Aug → | ||
| 13–9 | 0.04 | 19% | 7 Aug → | ||
| 13–1 | 0.05 | 22% | 3 Aug → | ||
| 13–2 | 0.01 | 13% | 3 Aug → | ||
| 5–13 | -0.03 | 19% | 3 Aug → | ||
| 13–5 | -0.07 | 17% | 1 Aug → | ||
| 13–9 | -0.02 | 9% | 2 Jul → | ||
| 13–11 | 0.03 | 22% | 10 Jun → | ||
| 13–3 | 0.00 | 10% | 3 Jun → | ||
| 13–8 | 0.06 | 22% | 23 May → | ||
| 13–4 | 0.10 | 18% | 23 May → | ||
| 4–13 | -0.08 | 6% | 22 May → | ||
| 5–13 | -0.09 | 13% | 18 May → | ||
| 5–13 | -0.13 | 0% | 18 May → | ||
| 2–13 | -0.07 | 4% | 15 May → | ||
| 6–13 | -0.09 | 7% | 10 May → | ||
| 13–6 | 0.01 | 5% | 10 May → | ||
| 4–5 | 0.14 | 25% | 6 May → | ||
| 13–6 | 0.06 | 14% | 3 May → | ||
| 13–2 | 0.03 | 11% | 3 May → | ||
| 13–6 | 0.06 | 10% | 3 May → | ||
| 13–9 | 0.13 | 16% | 3 May → | ||
| 9–1 | 0.26 | 21% | 1 May → | ||
| 13–5 | 0.08 | 11% | 1 May → | ||
| 13–1 | -0.02 | 11% | 1 May → | ||
| 13–11 | -0.01 | 7% | 22 Apr → | ||
| 9–3 | 0.17 | 12% | 13 Apr → | ||
| 9–1 | 0.10 | 6% | 30 Mar → | ||
| 9–3 | 0.02 | 7% | 30 Mar → | ||
| 8–8 | 0.13 | 15% | 29 Mar → | ||
| 13–11 | 0.06 | 17% | 11 Feb → | ||
| 13–3 | 0.05 | 15% | 7 Feb → | ||
| 13–4 | 0.19 | 6% | 7 Feb → | ||
| 9–2 | 0.26 | 25% | 30 Jan → | ||
| 9–6 | 0.01 | 8% | 30 Jan → | ||
| 9–3 | 0.01 | 14% | 21 Jan → | ||
| 9–0 | 0.30 | 29% | 20 Jan → | ||
| 9–7 | -0.04 | 21% | 20 Jan → | ||
| 13–7 | 0.13 | 24% | 18 Jan → | ||
| 13–8 | 0.02 | 9% | 31 Dec → | ||
| 4–9 | -0.10 | 5% | 20 Dec → | ||
| 8–13 | -0.02 | 6% | 20 Dec → | ||
| 9–13 | -0.04 | 8% | 13 Dec → | ||
| 13–3 | 0.05 | 15% | 10 Dec → | ||
| 13–7 | 0.03 | 16% | 5 Dec → | ||
| 6–13 | -0.02 | 9% | 29 Nov → | ||
| palacio | 4–13 | -0.04 | 15% | 23 Nov → | |
| 5–13 | 0.04 | 13% | 9 Nov → | ||
| 13–4 | 0.03 | 20% | 5 Nov → | ||
| 13–11 | 0.01 | 13% | 4 Nov → | ||
| 12–12 | -0.02 | 8% | 4 Nov → | ||
| 13–5 | 0.08 | 19% | 23 Oct → | ||
| 9–5 | -0.02 | 4% | 23 Oct → | ||
| 2–9 | -0.16 | 6% | 23 Oct → | ||
| 9–3 | 0.03 | 8% | 23 Oct → | ||
| 9–4 | -0.01 | 14% | 23 Oct → | ||
| 9–6 | 0.02 | 7% | 23 Oct → | ||
| 9–4 | -0.03 | 12% | 22 Oct → | ||
| 13–10 | 0.11 | 13% | 20 Oct → | ||
| 9–13 | 0.04 | 15% | 20 Oct → | ||
| 14–16 | -0.01 | 14% | 18 Oct → | ||
| 11–13 | 0.06 | 11% | 18 Oct → | ||
| 13–7 | 0.03 | 9% | 15 Oct → | ||
| palacio | 13–3 | 0.02 | 11% | 13 Oct → | |
| palacio | 13–2 | 0.13 | 7% | 10 Oct → | |
| palacio | 9–13 | 0.04 | 8% | 10 Oct → | |
| 8–13 | 0.07 | 22% | 8 Oct → | ||
| palacio | 13–11 | -0.02 | 11% | 5 Oct → | |
| italy | 0–4 | -0.03 | 60% | 5 Oct → | |
| palacio | 13–7 | 0.04 | 6% | 5 Oct → | |
| office | 6–13 | -0.04 | 15% | 5 Oct → | |
| palacio | 13–5 | 0.07 | 9% | 5 Oct → | |
| palacio | 13–9 | 0.01 | 10% | 5 Oct → | |
| golden | 10–13 | 0.01 | 13% | 5 Oct → | |
| 3–13 | -0.10 | 11% | 5 Oct → | ||
| palacio | 13–1 | 0.02 | 12% | 4 Oct → | |
| office | 13–11 | 0.06 | 11% | 1 Oct → | |
| office | 13–11 | 0.04 | 18% | 1 Oct → | |
| 13–6 | 0.09 | 12% | 27 Sept → |
Match data via Leetify.