Kamazon — CS2 Stats
76561198301216037[U:1:340950309]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.05 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 74% playstyle similarity
Most alike: opening-duel success, 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. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 55% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 2.6/10 (Learning), 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 |
|---|---|---|---|---|---|
| A | 22 | 12–10 | 55% | 0.01 | |
| D | 22 | 7–15 | 32% | -0.02 | |
| S | 18 | 12–6 | 67% | -0.01 | |
| S | 17 | 11–6 | 65% | -0.01 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| C | 7 | 3–4 | 43% | -0.03 | |
| — | 4 | 2–2 | 50% | -0.04 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (32% over 22). 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 10 | 30% | 0.86 | 10.6 |
| Dust2 | 10 | 50% | 0.74 | 11.0 |
| Nuke | 5 | 100% | 0.80 | 14.6 |
| Vertigo | 4 | 75% | 0.62 | 9.3 |
| Inferno | 3 | 33% | 0.45 | 7.3 |
| Ancient | 3 | 100% | 0.63 | 10.0 |
| Cache | 3 | 33% | 0.51 | 9.3 |
| Overpass | 2 | 0% | 0.52 | 8.0 |
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 9.7705% — 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 28.2503% — 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.
32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.14 | 14% | 28 Aug → | ||
| 14–16 | 0.01 | 6% | 28 Aug → | ||
| 10–13 | -0.07 | 10% | 22 Aug → | ||
| 16–14 | -0.00 | 12% | 21 Aug → | ||
| 13–3 | 0.07 | 8% | 18 Aug → | ||
| 13–3 | 0.09 | 7% | 17 Aug → | ||
| 10–13 | -0.01 | 15% | 17 Aug → | ||
| 8–13 | -0.09 | 6% | 16 Aug → | ||
| 10–13 | 0.00 | 14% | 15 Aug → | ||
| 7–13 | -0.04 | 5% | 15 Aug → | ||
| 16–14 | -0.07 | 8% | 14 Aug → | ||
| 13–10 | -0.03 | 9% | 10 Aug → | ||
| 2–13 | -0.11 | 9% | 10 Aug → | ||
| 13–8 | -0.02 | 14% | 9 Aug → | ||
| 6–13 | -0.04 | 2% | 9 Aug → | ||
| 13–6 | 0.02 | 7% | 8 Aug → | ||
| 7–13 | -0.02 | 3% | 8 Aug → | ||
| 11–13 | -0.03 | 3% | 6 Aug → | ||
| 13–5 | -0.01 | 7% | 6 Aug → | ||
| 11–13 | -0.05 | 16% | 6 Aug → | ||
| 13–10 | -0.02 | 8% | 6 Aug → | ||
| 13–10 | -0.08 | 12% | 6 Aug → | ||
| 5–13 | -0.05 | 11% | 6 Aug → | ||
| 9–13 | 0.04 | 10% | 5 Aug → | ||
| 13–3 | 0.01 | 15% | 5 Aug → | ||
| 13–5 | 0.06 | 8% | 5 Aug → | ||
| 13–10 | -0.02 | 9% | 5 Aug → | ||
| 11–13 | -0.01 | 15% | 5 Aug → | ||
| 15–15 | 0.12 | 20% | 5 Aug → | ||
| 13–4 | 0.07 | 7% | 5 Aug → | ||
| 13–7 | 0.02 | 11% | 5 Aug → | ||
| 13–6 | 0.06 | 8% | 5 Aug → | ||
| 6–13 | -0.04 | 13% | 5 Aug → | ||
| 13–8 | -0.01 | 21% | 5 Aug → | ||
| 15–15 | -0.06 | 11% | 4 Aug → | ||
| 9–13 | -0.06 | 16% | 4 Aug → | ||
| 13–4 | 0.08 | 12% | 4 Aug → | ||
| 16–13 | -0.02 | 27% | 3 Aug → | ||
| 13–5 | 0.06 | 11% | 3 Aug → | ||
| 13–3 | -0.03 | 4% | 3 Aug → | ||
| 4–13 | -0.03 | 7% | 3 Aug → | ||
| 6–13 | 0.08 | 13% | 3 Aug → | ||
| 1–13 | -0.05 | 14% | 3 Aug → | ||
| 5–13 | -0.02 | 7% | 2 Aug → | ||
| 11–13 | 0.04 | 13% | 2 Aug → | ||
| 11–13 | -0.02 | 6% | 1 Aug → | ||
| 2–13 | -0.08 | 17% | 1 Aug → | ||
| 13–7 | -0.00 | 11% | 1 Aug → | ||
| 4–13 | -0.09 | 13% | 1 Aug → | ||
| 13–5 | -0.03 | 10% | 1 Aug → | ||
| 5–13 | -0.03 | 13% | 31 Jul → | ||
| 4–1 | 0.00 | 13% | 31 Jul → | ||
| 8–13 | 0.01 | 6% | 31 Jul → | ||
| 8–13 | -0.00 | 6% | 31 Jul → | ||
| 3–13 | -0.10 | 5% | 31 Jul → | ||
| 10–13 | 0.01 | 13% | 31 Jul → | ||
| 9–13 | 0.02 | 13% | 31 Jul → | ||
| 13–11 | -0.04 | 12% | 31 Jul → | ||
| 13–9 | 0.05 | 15% | 31 Jul → | ||
| 11–13 | -0.03 | 7% | 30 Jul → | ||
| 1–13 | -0.10 | 10% | 29 Jul → | ||
| 8–13 | -0.04 | 15% | 29 Jul → | ||
| 6–13 | -0.01 | 20% | 28 Jul → | ||
| 4–13 | -0.12 | 17% | 27 Jul → | ||
| 13–7 | -0.04 | 2% | 27 Jul → | ||
| 13–5 | 0.01 | 7% | 27 Jul → | ||
| 13–9 | -0.01 | 15% | 26 Jul → | ||
| 2–13 | 0.03 | 8% | 26 Jul → | ||
| 13–10 | -0.01 | 9% | 26 Jul → | ||
| 13–10 | -0.01 | 12% | 26 Jul → | ||
| 13–2 | 0.08 | 0% | 26 Jul → | ||
| 7–13 | 0.00 | 5% | 26 Jul → | ||
| 13–7 | 0.06 | 11% | 25 Jul → | ||
| 13–9 | -0.01 | 14% | 25 Jul → | ||
| 13–9 | -0.07 | 11% | 25 Jul → | ||
| 13–6 | -0.01 | 0% | 25 Jul → | ||
| 13–10 | -0.00 | 17% | 25 Jul → | ||
| 9–13 | -0.01 | 10% | 25 Jul → | ||
| 13–2 | -0.04 | 6% | 25 Jul → | ||
| 1–11 | -0.03 | 21% | 22 Jul → | ||
| 13–9 | 0.00 | 8% | 22 Jul → | ||
| 13–9 | -0.02 | 18% | 22 Jul → | ||
| 9–13 | -0.07 | 11% | 21 Jul → | ||
| 13–5 | 0.09 | 14% | 21 Jul → | ||
| 6–13 | -0.07 | 12% | 21 Jul → | ||
| 13–8 | 0.02 | 9% | 21 Jul → | ||
| 13–3 | 0.04 | 8% | 20 Jul → | ||
| 13–6 | 0.06 | 18% | 20 Jul → | ||
| 13–7 | -0.06 | 15% | 19 Jul → | ||
| 13–9 | -0.00 | 15% | 19 Jul → | ||
| 16–14 | -0.07 | 14% | 19 Jul → | ||
| 13–11 | 0.05 | 22% | 18 Jul → | ||
| 1–13 | -0.10 | 9% | 18 Jul → | ||
| 0–13 | -0.01 | 8% | 16 Jul → | ||
| 13–9 | -0.01 | 14% | 16 Jul → | ||
| 13–10 | -0.03 | 14% | 16 Jul → | ||
| 4–13 | 0.07 | 5% | 15 Jul → | ||
| 11–13 | -0.02 | 11% | 15 Jul → | ||
| 3–13 | -0.06 | 11% | 15 Jul → | ||
| 13–1 | 0.01 | 10% | 15 Jul → |
Match data via Leetify.