HEW MAY?! — CS2 Stats
US76561197960541466[U:1:275738]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective 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 Twistzz 94% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Strengths
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
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 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 20 | 13–7 | 65% | 0.02 | |
| A | 19 | 11–8 | 58% | 0.01 | |
| A | 16 | 9–7 | 56% | -0.02 | |
| B | 13 | 7–6 | 54% | -0.01 | |
| S | 10 | 7–3 | 70% | 0.00 | |
| D | 10 | 3–7 | 30% | 0.00 | |
| D | 9 | 3–6 | 33% | -0.03 | |
| — | 2 | 0–2 | 0% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.09 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 10 | 60% | 1.07 | 16.3 |
| Ancient | 8 | 12% | 1.01 | 17.3 |
| Nuke | 7 | 86% | 1.27 | 16.4 |
| Mirage | 7 | 43% | 0.91 | 17.6 |
| Inferno | 6 | 83% | 1.02 | 19.7 |
| Vertigo | 2 | 0% | 1.02 | 21.5 |
| Anubis | 2 | 0% | 0.48 | 7.0 |
| Cache | 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.
- 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 12.4028% — 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 34.3027% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.03 | 20% | 28 Aug → | ||
| 13–11 | -0.04 | 12% | 28 Aug → | ||
| 8–13 | 0.06 | 16% | 28 Aug → | ||
| 13–3 | 0.04 | 16% | 28 Aug → | ||
| 13–5 | 0.00 | 7% | 28 Aug → | ||
| 13–2 | 0.07 | 20% | 28 Aug → | ||
| 6–13 | 0.01 | 12% | 28 Aug → | ||
| 13–4 | 0.07 | 14% | 28 Aug → | ||
| 16–12 | -0.02 | 10% | 28 Aug → | ||
| 15–15 | -0.05 | 19% | 28 Aug → | ||
| 8–13 | 0.05 | 15% | 28 Aug → | ||
| 13–6 | -0.03 | 10% | 28 Aug → | ||
| 13–9 | -0.03 | 13% | 24 Aug → | ||
| 25–28 | 0.03 | 12% | 22 Aug → | ||
| 13–10 | -0.06 | 5% | 22 Aug → | ||
| 3–13 | 0.09 | 8% | 22 Aug → | ||
| 13–7 | -0.05 | 11% | 18 Aug → | ||
| 13–11 | -0.03 | 13% | 17 Aug → | ||
| 13–2 | -0.00 | 10% | 16 Aug → | ||
| 11–13 | -0.05 | 6% | 16 Aug → | ||
| 7–13 | 0.09 | 10% | 16 Aug → | ||
| 4–13 | -0.10 | 10% | 16 Aug → | ||
| 13–11 | 0.11 | 13% | 16 Aug → | ||
| 13–8 | 0.01 | 18% | 15 Aug → | ||
| 13–11 | -0.01 | 9% | 15 Aug → | ||
| 14–16 | -0.07 | 13% | 15 Aug → | ||
| 13–9 | -0.06 | 6% | 15 Aug → | ||
| 31–29 | -0.03 | 13% | 15 Aug → | ||
| 5–13 | -0.04 | 14% | 15 Aug → | ||
| 10–13 | 0.04 | 16% | 14 Aug → | ||
| 13–10 | -0.01 | 21% | 14 Aug → | ||
| 6–13 | 0.01 | 19% | 14 Aug → | ||
| 9–13 | -0.04 | 10% | 14 Aug → | ||
| 8–13 | -0.07 | 8% | 14 Aug → | ||
| 4–13 | 0.03 | 21% | 14 Aug → | ||
| 13–7 | 0.07 | 11% | 13 Aug → | ||
| 13–8 | 0.05 | 10% | 13 Aug → | ||
| 13–8 | 0.09 | 6% | 13 Aug → | ||
| 13–6 | -0.05 | 23% | 11 Aug → | ||
| 5–13 | -0.00 | 14% | 11 Aug → | ||
| 3–13 | -0.06 | 14% | 11 Aug → | ||
| 13–6 | -0.04 | 7% | 11 Aug → | ||
| 5–13 | -0.05 | 5% | 11 Aug → | ||
| 13–7 | 0.03 | 17% | 11 Aug → | ||
| 13–5 | 0.09 | 10% | 11 Aug → | ||
| 13–6 | 0.02 | 12% | 8 Aug → | ||
| 13–6 | 0.06 | 11% | 8 Aug → | ||
| 13–11 | -0.03 | 9% | 8 Aug → | ||
| 16–13 | 0.03 | 10% | 8 Aug → | ||
| 13–16 | 0.00 | 19% | 8 Aug → | ||
| 9–13 | -0.02 | 10% | 8 Aug → | ||
| 13–7 | 0.06 | 13% | 7 Aug → | ||
| 13–3 | 0.04 | 10% | 7 Aug → | ||
| 13–5 | 0.07 | 23% | 7 Aug → | ||
| 11–13 | 0.01 | 14% | 7 Aug → | ||
| 13–9 | 0.02 | 14% | 7 Aug → | ||
| 11–13 | -0.08 | 12% | 7 Aug → | ||
| 10–13 | -0.01 | 13% | 7 Aug → | ||
| 9–13 | 0.07 | 19% | 6 Aug → | ||
| 7–13 | -0.05 | 12% | 6 Aug → | ||
| 13–5 | -0.02 | 8% | 6 Aug → | ||
| 6–13 | -0.04 | 12% | 6 Aug → | ||
| 7–13 | 0.01 | 19% | 5 Aug → | ||
| 13–2 | 0.06 | 15% | 5 Aug → | ||
| 15–15 | 0.03 | 26% | 5 Aug → | ||
| 13–11 | 0.04 | 23% | 5 Aug → | ||
| 15–15 | -0.04 | 17% | 5 Aug → | ||
| 13–7 | 0.02 | 13% | 5 Aug → | ||
| 13–10 | -0.03 | 10% | 5 Aug → | ||
| 9–13 | -0.02 | 12% | 5 Aug → | ||
| 6–13 | 0.04 | 16% | 5 Aug → | ||
| 13–10 | -0.06 | 5% | 4 Aug → | ||
| 0–3 | -0.10 | 0% | 4 Aug → | ||
| 13–6 | 0.01 | 17% | 4 Aug → | ||
| 13–1 | 0.04 | 7% | 1 Aug → | ||
| 6–13 | 0.06 | 30% | 1 Aug → | ||
| 13–3 | -0.01 | 14% | 1 Aug → | ||
| 13–9 | 0.03 | 17% | 1 Aug → | ||
| 13–7 | 0.04 | 19% | 1 Aug → | ||
| 8–13 | -0.07 | 18% | 1 Aug → | ||
| 16–14 | 0.00 | 13% | 1 Aug → | ||
| 10–13 | -0.03 | 14% | 31 Jul → | ||
| 13–10 | 0.01 | 23% | 31 Jul → | ||
| 19–17 | 0.02 | 13% | 31 Jul → | ||
| 14–16 | -0.01 | 10% | 31 Jul → | ||
| 13–16 | -0.03 | 22% | 31 Jul → | ||
| 10–13 | 0.00 | 9% | 31 Jul → | ||
| 13–8 | -0.03 | 16% | 31 Jul → | ||
| 9–13 | -0.03 | 9% | 31 Jul → | ||
| 5–13 | -0.08 | 10% | 31 Jul → | ||
| 7–13 | 0.07 | 10% | 30 Jul → | ||
| 5–13 | -0.01 | 16% | 30 Jul → | ||
| 3–13 | -0.03 | 23% | 30 Jul → | ||
| 11–13 | -0.10 | 13% | 30 Jul → | ||
| 7–13 | -0.09 | 6% | 30 Jul → | ||
| 10–1 | -0.01 | 10% | 30 Jul → | ||
| 13–11 | 0.01 | 21% | 30 Jul → | ||
| 13–4 | 0.13 | 17% | 29 Jul → | ||
| 13–10 | 0.05 | 14% | 29 Jul → | ||
| 6–13 | 0.04 | 18% | 29 Jul → |
Match data via Leetify.