Kuma Lamar — CS2 Stats
76561199048710056[U:1:1088444328]
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=673), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 40.8% | 41.2% | 42.2% | 1.3% short |
| Shot accuracy | 8.5% | 12.5% | 11.9% | 3.4% short |
| Kill/death ratio | 0.60 | 0.96 | 0.98 | 0.38 short |
| Match win rate | 38.4% | 42.8% | 43.6% | 5.1% short |
This profile sits below the typical Level 3 player on every metric we can compare.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp 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-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 700ms 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 4.2/10 (Developing), 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 |
|---|---|---|---|---|---|
 dust2 | B | 16 | 8–8 | 50% | -0.01 |
 ancient | D | 16 | 5–11 | 31% | -0.02 |
 mirage | A | 15 | 9–6 | 60% | -0.04 |
 anubis | A | 14 | 8–6 | 57% | -0.03 |
 inferno | D | 12 | 4–8 | 33% | -0.06 |
 nuke | D | 6 | 2–4 | 33% | -0.05 |
 train | B | 6 | 3–3 | 50% | -0.03 |
 vertigo | B | 6 | 3–3 | 50% | -0.02 |
 overpass | — | 2 | 0–2 | 0% | -0.15 |
| office | — | 2 | 0–2 | 0% | -0.10 |
| jura | — | 2 | 1–1 | 50% | -0.01 |
| grail | — | 2 | 1–1 | 50% | 0.01 |
 cache | — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 8 | 12% | 0.52 | 8.1 |
| Vertigo | 8 | 62% | 0.66 | 11.1 |
| Anubis | 7 | 43% | 1.02 | 10.1 |
| Mirage | 5 | 20% | 0.66 | 9.8 |
| Nuke | 4 | 0% | 0.39 | 6.5 |
| Dust2 | 3 | 67% | 0.73 | 12.7 |
| Inferno | 2 | 50% | 0.67 | 11.0 |
| Overpass | 1 | 100% | 0.61 | 11.0 |
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 11.5439% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 700.0203ms — above the 700ms 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 0.4727 — 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.
31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 13–7 | -0.11 | 7% | 22 Jul → | |
| anubis | 13–9 | -0.07 | 6% | 18 Jul → | |
| dust2 | 13–5 | -0.02 | 9% | 16 Jul → | |
| cache | 9–13 | -0.08 | 13% | 15 Jul → | |
| anubis | 13–3 | 0.05 | 15% | 15 Jul → | |
| inferno | 9–2 | -0.03 | 9% | 14 Jul → | |
| inferno | 0–9 | -0.28 | 0% | 8 Jul → | |
| mirage | 13–6 | -0.06 | 10% | 2 Jul → | |
| dust2 | 13–3 | 0.06 | 22% | 30 Jun → | |
| mirage | 11–13 | -0.07 | 17% | 27 Jun → | |
| inferno | 10–13 | -0.08 | 7% | 25 Jun → | |
| anubis | 13–5 | 0.05 | 23% | 25 Jun → | |
| ancient | 13–11 | -0.04 | 6% | 22 Jun → | |
| dust2 | 13–8 | -0.02 | 14% | 20 Jun → | |
| ancient | 1–13 | -0.03 | 21% | 20 Jun → | |
| anubis | 8–13 | -0.04 | 7% | 15 Jun → | |
| inferno | 10–13 | 0.04 | 14% | 14 Jun → | |
| nuke | 13–11 | 0.01 | 18% | 10 Jun → | |
| dust2 | 4–13 | -0.06 | 5% | 3 Jun → | |
| inferno | 13–3 | 0.03 | 13% | 28 May → | |
| anubis | 8–13 | -0.03 | 13% | 27 May → | |
| anubis | 13–7 | -0.04 | 9% | 27 May → | |
| dust2 | 2–13 | -0.06 | 18% | 27 May → | |
| anubis | 4–13 | -0.03 | 8% | 15 May → | |
| mirage | 13–11 | -0.09 | 5% | 15 May → | |
| mirage | 9–13 | -0.06 | 9% | 6 May → | |
| overpass | 4–13 | -0.07 | 9% | 6 May → | |
| ancient | 14–16 | -0.01 | 15% | 5 May → | |
| inferno | 16–12 | -0.08 | 13% | 5 May → | |
| ancient | 0–3 | -0.02 | 0% | 5 May → | |
| dust2 | 8–13 | -0.05 | 7% | 5 May → | |
| mirage | 13–6 | 0.01 | 13% | 27 Apr → | |
| mirage | 13–4 | -0.06 | 20% | 25 Apr → | |
| inferno | 0–2 | -0.08 | 0% | 25 Apr → | |
| train | 3–13 | -0.14 | 0% | 23 Apr → | |
| train | 3–13 | -0.06 | 9% | 23 Apr → | |
| anubis | 14–16 | -0.04 | 19% | 10 Apr → | |
| ancient | 13–7 | -0.06 | 4% | 10 Apr → | |
| ancient | 10–13 | -0.06 | 9% | 25 Mar → | |
| dust2 | 2–8 | -0.07 | 13% | 25 Mar → | |
| anubis | 13–7 | 0.10 | 2% | 19 Mar → | |
| office | 10–13 | -0.10 | 13% | 19 Mar → | |
| office | 10–13 | -0.10 | 6% | 19 Mar → | |
| nuke | 10–13 | -0.08 | 6% | 6 Mar → | |
| mirage | 0–13 | -0.09 | 0% | 6 Mar → | |
| ancient | 10–13 | -0.07 | 13% | 2 Mar → | |
| dust2 | 13–3 | 0.03 | 10% | 2 Mar → | |
| mirage | 13–11 | -0.01 | 18% | 1 Mar → | |
| mirage | 2–13 | 0.02 | 17% | 25 Feb → | |
| mirage | 7–13 | -0.09 | 13% | 25 Feb → | |
| inferno | 9–13 | -0.02 | 16% | 23 Feb → | |
| mirage | 13–10 | -0.01 | 14% | 23 Feb → | |
| anubis | 13–11 | -0.03 | 13% | 23 Feb → | |
| ancient | 10–13 | -0.07 | 9% | 23 Feb → | |
| anubis | 13–6 | 0.04 | 14% | 23 Feb → | |
| ancient | 13–8 | 0.02 | 8% | 23 Feb → | |
| anubis | 6–13 | -0.12 | 15% | 12 Aug → | |
| jura | 12–12 | -0.02 | 22% | 5 Aug → | |
| jura | 13–7 | -0.00 | 13% | 5 Aug → | |
| ancient | 10–13 | -0.02 | 23% | 31 Jul → | |
| dust2 | 8–13 | 0.06 | 18% | 28 Jul → | |
| ancient | 13–3 | 0.03 | 10% | 27 Jul → | |
| dust2 | 13–10 | -0.03 | 9% | 24 Jul → | |
| inferno | 9–5 | 0.03 | 25% | 24 Jul → | |
| train | 4–0 | -0.03 | 0% | 23 Jul → | |
| train | 13–8 | -0.03 | 12% | 22 Jul → | |
| train | 7–13 | 0.02 | 15% | 22 Jul → | |
| dust2 | 10–13 | -0.08 | 6% | 21 Jun → | |
| train | 13–9 | 0.05 | 2% | 21 Jun → | |
| anubis | 10–13 | -0.09 | 15% | 21 Jun → | |
| mirage | 13–8 | 0.02 | 3% | 20 Jun → | |
| overpass | 3–9 | -0.22 | 0% | 19 Jun → | |
| mirage | 16–13 | -0.04 | 13% | 18 Jun → | |
| vertigo | 9–5 | -0.00 | 9% | 20 May → | |
| vertigo | 2–9 | -0.19 | 7% | 19 May → | |
| inferno | 3–9 | -0.10 | 18% | 19 May → | |
| nuke | 13–8 | -0.04 | 12% | 19 May → | |
| dust2 | 13–11 | 0.10 | 18% | 18 May → | |
| ancient | 11–13 | 0.04 | 13% | 15 May → | |
| mirage | 3–13 | -0.15 | 10% | 15 May → | |
| vertigo | 9–13 | -0.07 | 11% | 11 May → | |
| dust2 | 13–10 | 0.01 | 12% | 9 May → | |
| mirage | 13–6 | 0.12 | 10% | 9 May → | |
| ancient | 4–13 | -0.07 | 8% | 9 May → | |
| grail | 13–4 | 0.05 | 12% | 9 May → | |
| grail | 10–13 | -0.03 | 17% | 9 May → | |
| dust2 | 12–12 | -0.03 | 4% | 5 May → | |
| nuke | 3–9 | -0.10 | 19% | 28 Apr → | |
| inferno | 5–9 | -0.07 | 6% | 28 Apr → | |
| vertigo | 5–13 | -0.06 | 3% | 24 Apr → | |
| ancient | 1–13 | -0.05 | 4% | 24 Apr → | |
| ancient | 9–13 | 0.04 | 10% | 23 Apr → | |
| vertigo | 13–8 | 0.02 | 12% | 21 Apr → | |
| nuke | 8–13 | -0.05 | 17% | 13 Apr → | |
| dust2 | 9–13 | -0.04 | 10% | 12 Apr → | |
| ancient | 13–5 | 0.07 | 8% | 11 Apr → | |
| nuke | 1–13 | -0.06 | 20% | 11 Apr → | |
| vertigo | 9–5 | 0.18 | 15% | 11 Apr → | |
| inferno | 13–16 | -0.02 | 24% | 8 Apr → | |
| dust2 | 13–9 | 0.02 | 24% | 4 Apr → |
Match data via Leetify.
