H1TM4N — CS2 Stats
76561197995830166[U:1:35564438]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.01 avg rating
Player DNA
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 NiKo 81% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 4.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 35 | 13–22 | 37% | -0.01 | |
| S | 16 | 11–5 | 69% | -0.01 | |
| B | 15 | 8–7 | 53% | 0.01 | |
| D | 10 | 3–7 | 30% | -0.01 | |
| office | B | 8 | 4–4 | 50% | -0.02 |
| S | 7 | 5–2 | 71% | 0.01 | |
| D | 6 | 1–5 | 17% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.05 |
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.
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.7631° — above the 12° mark we flag
- 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 9.7725% — below the 15% mark we flag
- 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 0.4626 — 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 | |
|---|---|---|---|---|---|
| 13–6 | 0.07 | 9% | 28 Aug → | ||
| 13–7 | 0.00 | 7% | 27 Aug → | ||
| 9–13 | -0.00 | 14% | 27 Aug → | ||
| 13–6 | -0.02 | 10% | 26 Aug → | ||
| 16–14 | 0.08 | 8% | 25 Aug → | ||
| 13–7 | -0.02 | 12% | 24 Aug → | ||
| 8–1 | 0.11 | 11% | 24 Aug → | ||
| office | 13–10 | -0.08 | 10% | 23 Aug → | |
| office | 13–5 | -0.08 | 8% | 23 Aug → | |
| 6–13 | 0.01 | 16% | 23 Aug → | ||
| 13–6 | 0.04 | 13% | 23 Aug → | ||
| office | 9–13 | -0.01 | 8% | 23 Aug → | |
| office | 8–13 | -0.04 | 6% | 23 Aug → | |
| 13–4 | 0.01 | 5% | 22 Aug → | ||
| 10–13 | -0.07 | 9% | 22 Aug → | ||
| 8–13 | -0.07 | 8% | 22 Aug → | ||
| 13–3 | -0.02 | 17% | 21 Aug → | ||
| office | 13–3 | 0.04 | 7% | 21 Aug → | |
| 14–16 | 0.01 | 17% | 21 Aug → | ||
| 10–13 | 0.04 | 11% | 21 Aug → | ||
| 13–6 | -0.01 | 13% | 21 Aug → | ||
| 8–13 | -0.03 | 8% | 21 Aug → | ||
| 13–7 | 0.06 | 6% | 20 Aug → | ||
| 9–13 | -0.04 | 9% | 20 Aug → | ||
| 10–13 | -0.05 | 9% | 20 Aug → | ||
| 10–13 | -0.02 | 8% | 20 Aug → | ||
| 11–13 | -0.03 | 8% | 20 Aug → | ||
| 14–16 | 0.00 | 6% | 20 Aug → | ||
| 8–13 | -0.02 | 15% | 20 Aug → | ||
| 13–4 | -0.03 | 3% | 20 Aug → | ||
| 11–13 | -0.00 | 8% | 20 Aug → | ||
| 14–16 | -0.03 | 7% | 20 Aug → | ||
| 13–5 | 0.02 | 14% | 20 Aug → | ||
| 11–13 | -0.09 | 12% | 19 Aug → | ||
| office | 13–8 | 0.01 | 3% | 19 Aug → | |
| 16–12 | 0.02 | 16% | 19 Aug → | ||
| 3–13 | -0.03 | 8% | 19 Aug → | ||
| 13–7 | 0.05 | 7% | 19 Aug → | ||
| 10–13 | -0.09 | 11% | 18 Aug → | ||
| 13–11 | -0.01 | 7% | 17 Aug → | ||
| 11–13 | -0.05 | 15% | 17 Aug → | ||
| 16–14 | -0.02 | 15% | 17 Aug → | ||
| 13–11 | 0.02 | 9% | 17 Aug → | ||
| 16–14 | -0.03 | 9% | 17 Aug → | ||
| 10–13 | -0.07 | 16% | 17 Aug → | ||
| 9–13 | -0.01 | 13% | 17 Aug → | ||
| 13–9 | -0.00 | 20% | 16 Aug → | ||
| 13–10 | 0.06 | 9% | 16 Aug → | ||
| 13–6 | 0.01 | 12% | 15 Aug → | ||
| 1–13 | 0.01 | 13% | 15 Aug → | ||
| 5–13 | 0.03 | 11% | 15 Aug → | ||
| 11–13 | 0.01 | 11% | 15 Aug → | ||
| 7–13 | -0.00 | 12% | 15 Aug → | ||
| 13–5 | 0.04 | 8% | 15 Aug → | ||
| 2–0 | 0.11 | 13% | 15 Aug → | ||
| 4–13 | -0.03 | 12% | 14 Aug → | ||
| 11–13 | 0.02 | 8% | 14 Aug → | ||
| 13–10 | 0.00 | 9% | 14 Aug → | ||
| 10–13 | -0.05 | 12% | 13 Aug → | ||
| 4–13 | -0.02 | 20% | 13 Aug → | ||
| 14–16 | -0.05 | 13% | 13 Aug → | ||
| 16–12 | 0.06 | 7% | 13 Aug → | ||
| 13–6 | 0.06 | 11% | 13 Aug → | ||
| 9–13 | 0.01 | 10% | 13 Aug → | ||
| 13–11 | -0.00 | 17% | 12 Aug → | ||
| 13–11 | 0.00 | 12% | 12 Aug → | ||
| 13–7 | -0.01 | 15% | 12 Aug → | ||
| 13–9 | -0.04 | 8% | 12 Aug → | ||
| 12–16 | -0.02 | 13% | 11 Aug → | ||
| 8–13 | -0.02 | 19% | 11 Aug → | ||
| 13–9 | 0.03 | 8% | 11 Aug → | ||
| 4–13 | -0.05 | 4% | 11 Aug → | ||
| 13–10 | 0.01 | 13% | 10 Aug → | ||
| 12–16 | -0.04 | 7% | 10 Aug → | ||
| 10–13 | 0.01 | 11% | 10 Aug → | ||
| 13–2 | -0.03 | 12% | 10 Aug → | ||
| 13–5 | 0.02 | 10% | 10 Aug → | ||
| 7–13 | -0.02 | 4% | 10 Aug → | ||
| 16–14 | 0.04 | 17% | 9 Aug → | ||
| 11–13 | -0.05 | 11% | 9 Aug → | ||
| 3–13 | -0.05 | 10% | 9 Aug → | ||
| 13–10 | -0.08 | 3% | 8 Aug → | ||
| 2–13 | -0.07 | 14% | 8 Aug → | ||
| 15–15 | 0.07 | 9% | 8 Aug → | ||
| 10–13 | 0.00 | 6% | 8 Aug → | ||
| 5–13 | -0.05 | 5% | 8 Aug → | ||
| 13–6 | 0.07 | 20% | 8 Aug → | ||
| 13–8 | -0.02 | 8% | 7 Aug → | ||
| 7–13 | -0.06 | 16% | 7 Aug → | ||
| 13–11 | -0.05 | 10% | 7 Aug → | ||
| 11–13 | -0.00 | 9% | 7 Aug → | ||
| 9–13 | 0.03 | 11% | 7 Aug → | ||
| office | 9–13 | -0.05 | 7% | 7 Aug → | |
| 6–13 | -0.07 | 8% | 7 Aug → | ||
| 13–3 | -0.04 | 11% | 7 Aug → | ||
| 7–13 | -0.04 | 12% | 7 Aug → | ||
| 11–13 | -0.06 | 13% | 6 Aug → | ||
| 2–13 | -0.03 | 6% | 6 Aug → | ||
| 13–5 | -0.04 | 5% | 6 Aug → | ||
| office | 12–12 | 0.01 | 10% | 6 Aug → |
Match data via Leetify.