kakka — CS2 Stats
76561199811332658[U:1:1851066930]✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | vs Light Blue band |
|---|---|---|---|
| Headshot rate | 34.4% | 40.1% | 5.7% short |
| Shot accuracy | 0.0% | 7.6% | 7.6% short |
| Kill/death ratio | 0.53 | 0.92 | 0.39 short |
| Match win rate | 42.1% | 42.2% | meets |
This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band 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: -30pp win rate · -0.06 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 57% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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.
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 2.5/10 (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 83 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 |
|---|---|---|---|---|---|
 nuke | B | 30 | 15–15 | 50% | -0.05 |
 inferno | S | 10 | 8–2 | 80% | -0.08 |
 dust2 | A | 8 | 5–3 | 63% | -0.06 |
 ancient | D | 8 | 1–7 | 13% | -0.07 |
| office | S | 5 | 4–1 | 80% | -0.04 |
 overpass | A | 5 | 3–2 | 60% | -0.05 |
 vertigo | — | 4 | 1–3 | 25% | -0.07 |
 anubis | — | 3 | 1–2 | 33% | -0.04 |
 train | — | 3 | 2–1 | 67% | -0.05 |
 cache | — | 2 | 0–2 | 0% | -0.06 |
| italy | — | 2 | 1–1 | 50% | -0.09 |
| warden | — | 1 | 0–1 | 0% | -0.06 |
| palacio | — | 1 | 1–0 | 100% | -0.05 |
| agency | — | 1 | 0–1 | 0% | -0.05 |
Across the last 83 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (13% over 8). 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.
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 12.9818° — 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 9.3773% — 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 0.2679 — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 3–13 | -0.05 | 17% | 26 Aug → | |
| nuke | 1–13 | -0.10 | 0% | 15 Aug → | |
| nuke | 13–11 | -0.07 | 8% | 14 Aug → | |
| dust2 | 13–8 | -0.06 | 9% | 14 Aug → | |
| ancient | 2–13 | -0.11 | 12% | 14 Aug → | |
| inferno | 13–4 | -0.13 | 4% | 14 Aug → | |
| ancient | 8–13 | -0.04 | 6% | 14 Aug → | |
| cache | 1–13 | -0.09 | 19% | 14 Aug → | |
| inferno | 13–11 | -0.09 | 0% | 13 Aug → | |
| dust2 | 6–13 | -0.09 | 12% | 13 Aug → | |
| inferno | 13–6 | -0.01 | 6% | 12 Aug → | |
| nuke | 13–6 | 0.01 | 12% | 12 Aug → | |
| inferno | 16–13 | -0.04 | 12% | 12 Aug → | |
| cache | 5–13 | -0.03 | 2% | 11 Aug → | |
| italy | 2–5 | -0.14 | 0% | 11 Aug → | |
| dust2 | 10–13 | -0.07 | 20% | 11 Aug → | |
| office | 13–3 | -0.06 | 6% | 11 Aug → | |
| nuke | 11–3 | 0.07 | 6% | 11 Aug → | |
| dust2 | 13–6 | 0.01 | 9% | 10 Aug → | |
| dust2 | 13–9 | -0.00 | 4% | 10 Aug → | |
| ancient | 8–13 | -0.11 | 29% | 10 Aug → | |
| dust2 | 13–10 | -0.11 | 12% | 10 Aug → | |
| inferno | 13–8 | -0.09 | 11% | 9 Aug → | |
| dust2 | 12–16 | -0.11 | 12% | 7 Aug → | |
| ancient | 11–13 | -0.07 | 3% | 7 Aug → | |
| anubis | 13–1 | -0.01 | 6% | 5 Aug → | |
| vertigo | 13–4 | -0.03 | 6% | 5 Aug → | |
| train | 13–6 | -0.06 | 3% | 5 Aug → | |
| nuke | 13–4 | -0.01 | 17% | 5 Aug → | |
| anubis | 2–13 | -0.06 | 9% | 28 May → | |
| ancient | 3–13 | -0.01 | 2% | 7 May → | |
| nuke | 15–15 | -0.04 | 2% | 3 May → | |
| inferno | 11–13 | -0.06 | 9% | 30 Apr → | |
| nuke | 13–7 | -0.11 | 5% | 26 Apr → | |
| ancient | 6–13 | -0.06 | 4% | 24 Apr → | |
| nuke | 15–15 | -0.09 | 5% | 24 Apr → | |
| inferno | 9–5 | -0.09 | 12% | 23 Apr → | |
| nuke | 11–13 | -0.06 | 15% | 20 Apr → | |
| nuke | 13–6 | -0.08 | 5% | 20 Apr → | |
| ancient | 13–9 | -0.09 | 7% | 20 Apr → | |
| overpass | 8–13 | -0.10 | 4% | 19 Apr → | |
| office | 13–7 | -0.03 | 9% | 14 Apr → | |
| nuke | 8–13 | 0.04 | 6% | 12 Apr → | |
| nuke | 12–12 | 0.03 | 9% | 12 Apr → | |
| nuke | 13–11 | -0.11 | 7% | 11 Apr → | |
| ancient | 6–13 | -0.09 | 6% | 7 Apr → | |
| warden | 5–13 | -0.06 | 25% | 26 Mar → | |
| inferno | 4–13 | -0.12 | 0% | 24 Mar → | |
| nuke | 9–13 | -0.04 | 25% | 21 Mar → | |
| nuke | 9–4 | 0.02 | 13% | 21 Mar → | |
| anubis | 12–12 | -0.04 | 16% | 21 Mar → | |
| nuke | 13–9 | -0.08 | 4% | 20 Mar → | |
| office | 9–13 | -0.07 | 15% | 18 Mar → | |
| vertigo | 4–13 | -0.07 | 17% | 17 Mar → | |
| nuke | 5–13 | -0.08 | 15% | 7 Mar → | |
| nuke | 6–1 | -0.03 | 8% | 7 Mar → | |
| inferno | 13–3 | -0.06 | 29% | 6 Mar → | |
| train | 13–10 | -0.06 | 7% | 2 Mar → | |
| nuke | 13–11 | -0.04 | 5% | 27 Feb → | |
| office | 13–4 | 0.02 | 17% | 21 Feb → | |
| office | 13–5 | -0.07 | 11% | 21 Feb → | |
| inferno | 13–3 | -0.06 | 4% | 21 Feb → | |
| vertigo | 11–13 | -0.07 | 27% | 19 Feb → | |
| nuke | 13–9 | -0.03 | 6% | 16 Feb → | |
| nuke | 13–11 | -0.04 | 4% | 15 Feb → | |
| overpass | 13–8 | 0.02 | 16% | 15 Feb → | |
| overpass | 13–4 | -0.03 | 25% | 15 Feb → | |
| nuke | 7–13 | -0.05 | 21% | 14 Feb → | |
| nuke | 12–12 | -0.12 | 9% | 11 Feb → | |
| nuke | 12–11 | -0.09 | 3% | 9 Feb → | |
| nuke | 6–9 | -0.07 | 11% | 7 Feb → | |
| nuke | 7–9 | 0.02 | 7% | 29 Jan → | |
| nuke | 8–8 | -0.08 | 10% | 22 Jan → | |
| nuke | 9–5 | -0.03 | 18% | 22 Jan → | |
| dust2 | 11–2 | -0.06 | 13% | 20 Jan → | |
| palacio | 13–10 | -0.05 | 12% | 23 Dec → | |
| italy | 13–5 | -0.03 | 24% | 21 Dec → | |
| vertigo | 2–6 | -0.12 | 0% | 21 Dec → | |
| agency | 10–13 | -0.05 | 10% | 28 Jul → | |
| overpass | 13–2 | 0.00 | 24% | 21 Jul → | |
| nuke | 7–13 | -0.09 | 17% | 20 Jul → | |
| train | 4–13 | -0.04 | 13% | 18 Jul → | |
| overpass | 1–8 | -0.13 | 100% | 11 Jul → |
Match data via Leetify.
