hav1ng — CS2 Stats
76561199033779572[U:1:1073513844]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingEffective 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 device 95% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 586ms 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 7.0/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 23 | 16–7 | 70% | 0.02 | |
| C | 15 | 6–9 | 40% | -0.01 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| D | 13 | 4–9 | 31% | 0.03 | |
| D | 13 | 4–9 | 31% | 0.00 | |
| C | 9 | 4–5 | 44% | 0.00 | |
| C | 7 | 3–4 | 43% | 0.08 | |
| — | 3 | 3–0 | 100% | -0.02 | |
| — | 2 | 0–2 | 0% | -0.05 | |
| — | 2 | 1–1 | 50% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1401 | 51% | 1.11 | 17.3 |
| Dust2 | 797 | 52% | 1.13 | 17.3 |
| Ancient | 594 | 46% | 1.09 | 16.7 |
| Anubis | 542 | 51% | 1.12 | 16.7 |
| Nuke | 133 | 49% | 1.12 | 16.9 |
| Inferno | 119 | 54% | 1.18 | 17.5 |
| Train | 72 | 44% | 1.00 | 16.1 |
| Overpass | 72 | 53% | 1.13 | 17.9 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.04 | 22% | 28 Aug → | ||
| 8–13 | -0.08 | 27% | 27 Aug → | ||
| 9–4 | 0.06 | 26% | 21 Aug → | ||
| 13–11 | 0.10 | 25% | 21 Aug → | ||
| 16–19 | -0.02 | 21% | 5 Aug → | ||
| 13–3 | 0.07 | 30% | 5 Aug → | ||
| 5–4 | -0.00 | 38% | 29 Jul → | ||
| 10–13 | 0.08 | 24% | 29 Jul → | ||
| 0–2 | 0.00 | 0% | 29 Jul → | ||
| 2–13 | -0.00 | 39% | 29 Jul → | ||
| 13–5 | 0.04 | 24% | 28 Jul → | ||
| 5–1 | -0.04 | 22% | 28 Jul → | ||
| 13–6 | 0.08 | 33% | 28 Jul → | ||
| 7–13 | 0.06 | 32% | 28 Jul → | ||
| 13–9 | -0.00 | 20% | 28 Jul → | ||
| 6–13 | -0.03 | 21% | 1 Jul → | ||
| 9–13 | -0.01 | 33% | 30 Jun → | ||
| 16–14 | -0.01 | 30% | 28 Jun → | ||
| 16–14 | -0.04 | 22% | 28 Jun → | ||
| 13–11 | 0.01 | 6% | 24 Jun → | ||
| 13–8 | 0.02 | 16% | 23 Jun → | ||
| 13–9 | -0.01 | 9% | 22 Jun → | ||
| 16–14 | 0.04 | 20% | 21 Jun → | ||
| 7–9 | 0.00 | 15% | 20 Jun → | ||
| 1–9 | -0.23 | 36% | 20 Jun → | ||
| 8–13 | 0.08 | 28% | 16 Jun → | ||
| 13–4 | 0.06 | 16% | 16 Jun → | ||
| 11–13 | -0.05 | 12% | 10 Jun → | ||
| 13–8 | 0.05 | 14% | 8 Jun → | ||
| 0–9 | -0.29 | 0% | 6 Jun → | ||
| 0–9 | -0.24 | 0% | 6 Jun → | ||
| 5–9 | 0.06 | 21% | 6 Jun → | ||
| 9–5 | 0.14 | 26% | 6 Jun → | ||
| 7–9 | -0.01 | 6% | 6 Jun → | ||
| 6–9 | -0.07 | 39% | 6 Jun → | ||
| 5–9 | -0.02 | 34% | 6 Jun → | ||
| 10–13 | -0.03 | 35% | 4 Jun → | ||
| 11–13 | 0.00 | 17% | 3 Jun → | ||
| 9–0 | 0.42 | 29% | 2 Jun → | ||
| 13–11 | -0.01 | 26% | 29 May → | ||
| 9–13 | 0.05 | 24% | 28 May → | ||
| 8–13 | 0.04 | 12% | 27 May → | ||
| 5–9 | -0.04 | 50% | 23 May → | ||
| 6–13 | 0.02 | 28% | 13 May → | ||
| 9–4 | 0.34 | 29% | 12 May → | ||
| 13–9 | -0.00 | 36% | 12 May → | ||
| 9–7 | 0.16 | 26% | 30 Apr → | ||
| 5–9 | -0.11 | 40% | 30 Apr → | ||
| 6–9 | 0.02 | 26% | 30 Apr → | ||
| 13–11 | -0.04 | 42% | 29 Apr → | ||
| 4–9 | 0.01 | 40% | 25 Apr → | ||
| 13–5 | 0.03 | 12% | 25 Apr → | ||
| 14–16 | 0.08 | 29% | 25 Apr → | ||
| 9–13 | -0.03 | 25% | 24 Apr → | ||
| 16–13 | -0.01 | 13% | 23 Apr → | ||
| 13–8 | 0.03 | 38% | 21 Apr → | ||
| 13–11 | -0.01 | 24% | 21 Apr → | ||
| 13–11 | -0.01 | 22% | 6 Apr → | ||
| 16–14 | 0.03 | 15% | 4 Apr → | ||
| 13–11 | 0.05 | 21% | 4 Apr → | ||
| 4–13 | -0.07 | 21% | 4 Apr → | ||
| 13–10 | -0.02 | 14% | 3 Apr → | ||
| 8–13 | -0.02 | 21% | 2 Apr → | ||
| 10–13 | -0.01 | 18% | 1 Apr → | ||
| 12–16 | -0.10 | 14% | 30 Mar → | ||
| 22–19 | 0.01 | 19% | 28 Mar → | ||
| 13–8 | 0.02 | 25% | 18 Mar → | ||
| 8–13 | 0.04 | 20% | 11 Mar → | ||
| 9–13 | -0.04 | 25% | 1 Mar → | ||
| 9–13 | -0.01 | 22% | 1 Mar → | ||
| 11–13 | -0.03 | 22% | 25 Feb → | ||
| 11–13 | 0.02 | 23% | 18 Feb → | ||
| 17–19 | 0.01 | 28% | 16 Feb → | ||
| 13–11 | -0.05 | 13% | 13 Feb → | ||
| 7–13 | 0.01 | 20% | 12 Feb → | ||
| 11–13 | -0.03 | 18% | 9 Feb → | ||
| 9–13 | -0.02 | 23% | 8 Feb → | ||
| 13–6 | -0.01 | 19% | 5 Feb → | ||
| 13–9 | 0.03 | 17% | 3 Feb → | ||
| 13–6 | 0.05 | 27% | 30 Jan → | ||
| 13–6 | -0.01 | 35% | 29 Jan → | ||
| 9–0 | 0.35 | 20% | 17 Jan → | ||
| 13–6 | 0.04 | 23% | 8 Jan → | ||
| 9–13 | 0.02 | 30% | 6 Jan → | ||
| 5–9 | 0.01 | 23% | 29 Dec → | ||
| 9–2 | 0.07 | 60% | 28 Dec → | ||
| 9–4 | 0.15 | 31% | 28 Dec → | ||
| 13–10 | 0.09 | 22% | 28 Dec → | ||
| 13–5 | 0.08 | 14% | 28 Dec → | ||
| 13–2 | 0.18 | 28% | 22 Dec → | ||
| 13–7 | 0.11 | 26% | 22 Dec → | ||
| 7–13 | -0.03 | 17% | 22 Dec → | ||
| 11–13 | -0.05 | 27% | 11 Dec → | ||
| 11–13 | 0.00 | 19% | 8 Dec → | ||
| 6–13 | -0.06 | 17% | 8 Dec → | ||
| 0–13 | -0.09 | 29% | 7 Dec → | ||
| 13–5 | 0.01 | 16% | 2 Dec → | ||
| 13–10 | -0.04 | 33% | 17 Nov → | ||
| 13–10 | -0.01 | 18% | 13 Nov → | ||
| 11–13 | -0.03 | 24% | 9 Nov → |
Match data via Leetify.