Kojima — CS2 Stats
DE76561198020345634[U:1:60079906]Steam profile ↗VAC banned
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 | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 29.1% | 40.1% | 41.7% | 12.6% short |
| Shot accuracy | 11.2% | 7.6% | 8.8% | above |
| Kill/death ratio | 0.88 | 0.92 | 0.97 | 0.09 short |
| Match win rate | 28.9% | 42.2% | 43.8% | 14.9% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the 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: +0pp win rate · +0.02 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 b1t 82% 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 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 57% 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 3.4/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 21 | 11–10 | 52% | -0.01 |
 inferno | B | 17 | 9–8 | 53% | 0.00 |
 nuke | B | 14 | 7–7 | 50% | 0.01 |
 ancient | D | 13 | 3–10 | 23% | -0.02 |
 cache | D | 9 | 3–6 | 33% | -0.03 |
 anubis | D | 9 | 3–6 | 33% | -0.00 |
 mirage | A | 5 | 3–2 | 60% | -0.00 |
 train | — | 4 | 4–0 | 100% | 0.01 |
| office | — | 3 | 2–1 | 67% | -0.01 |
 overpass | — | 3 | 1–2 | 33% | -0.02 |
 vertigo | — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (23% over 13). 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.
- 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 9.3171% — 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 33.0931% — 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.
23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 10–13 | 0.01 | 12% | 28 Aug → | |
| mirage | 7–13 | -0.02 | 10% | 28 Aug → | |
| ancient | 4–13 | -0.01 | 8% | 28 Aug → | |
| dust2 | 2–13 | -0.06 | 4% | 26 Aug → | |
| cache | 4–13 | -0.01 | 11% | 26 Aug → | |
| inferno | 13–8 | -0.02 | 8% | 22 Aug → | |
| nuke | 13–5 | 0.12 | 7% | 22 Aug → | |
| anubis | 13–5 | 0.09 | 14% | 22 Aug → | |
| nuke | 13–7 | 0.03 | 16% | 21 Aug → | |
| nuke | 15–15 | -0.02 | 9% | 21 Aug → | |
| inferno | 11–13 | -0.06 | 8% | 21 Aug → | |
| anubis | 6–13 | -0.06 | 5% | 20 Aug → | |
| mirage | 13–7 | 0.01 | 4% | 17 Aug → | |
| ancient | 13–7 | 0.03 | 12% | 17 Aug → | |
| cache | 2–13 | -0.01 | 4% | 17 Aug → | |
| inferno | 13–1 | 0.09 | 11% | 16 Aug → | |
| ancient | 13–6 | 0.04 | 13% | 16 Aug → | |
| dust2 | 3–13 | -0.04 | 14% | 16 Aug → | |
| cache | 9–13 | -0.04 | 4% | 15 Aug → | |
| ancient | 2–13 | -0.05 | 9% | 14 Aug → | |
| inferno | 9–13 | 0.02 | 14% | 14 Aug → | |
| train | 13–9 | -0.00 | 10% | 13 Aug → | |
| dust2 | 6–13 | -0.06 | 6% | 9 Aug → | |
| nuke | 13–5 | -0.00 | 9% | 7 Aug → | |
| cache | 13–5 | -0.01 | 6% | 7 Aug → | |
| inferno | 13–8 | -0.07 | 5% | 7 Aug → | |
| cache | 6–13 | -0.04 | 8% | 2 Aug → | |
| inferno | 13–4 | 0.06 | 7% | 2 Aug → | |
| dust2 | 15–15 | -0.04 | 15% | 2 Aug → | |
| dust2 | 13–8 | -0.01 | 11% | 31 Jul → | |
| mirage | 13–0 | -0.01 | 8% | 31 Jul → | |
| dust2 | 13–8 | -0.01 | 17% | 31 Jul → | |
| ancient | 7–13 | -0.00 | 12% | 30 Jul → | |
| dust2 | 13–6 | 0.05 | 11% | 30 Jul → | |
| mirage | 13–16 | -0.00 | 7% | 30 Jul → | |
| dust2 | 13–7 | 0.02 | 14% | 29 Jul → | |
| anubis | 7–13 | -0.06 | 2% | 29 Jul → | |
| ancient | 8–13 | -0.06 | 3% | 28 Jul → | |
| inferno | 8–13 | -0.07 | 4% | 28 Jul → | |
| dust2 | 4–13 | -0.04 | 2% | 27 Jul → | |
| inferno | 13–5 | -0.01 | 2% | 27 Jul → | |
| inferno | 5–13 | -0.03 | 8% | 27 Jul → | |
| anubis | 13–6 | 0.03 | 2% | 25 Jul → | |
| anubis | 5–13 | -0.03 | 5% | 25 Jul → | |
| dust2 | 13–10 | -0.01 | 11% | 25 Jul → | |
| nuke | 8–13 | -0.00 | 8% | 15 Jul → | |
| nuke | 0–13 | -0.07 | 5% | 15 Jul → | |
| mirage | 13–8 | 0.00 | 10% | 15 Jul → | |
| inferno | 8–13 | -0.02 | 3% | 10 Jul → | |
| dust2 | 13–7 | -0.04 | 20% | 10 Jul → | |
| ancient | 10–13 | -0.07 | 10% | 10 Jul → | |
| office | 13–10 | -0.03 | 12% | 10 Jul → | |
| dust2 | 13–5 | -0.02 | 12% | 5 Jul → | |
| cache | 6–13 | -0.03 | 18% | 5 Jul → | |
| cache | 13–11 | 0.00 | 4% | 5 Jul → | |
| dust2 | 10–13 | 0.01 | 0% | 28 Jun → | |
| nuke | 13–6 | 0.07 | 7% | 28 Jun → | |
| inferno | 8–13 | -0.06 | 9% | 28 Jun → | |
| train | 13–10 | -0.07 | 2% | 18 Jun → | |
| train | 13–7 | 0.02 | 16% | 18 Jun → | |
| vertigo | 13–8 | 0.02 | 20% | 13 Jun → | |
| nuke | 16–12 | 0.02 | 9% | 13 Jun → | |
| ancient | 2–13 | -0.12 | 10% | 13 Jun → | |
| vertigo | 12–12 | -0.05 | 10% | 5 Jun → | |
| anubis | 11–13 | 0.02 | 9% | 30 May → | |
| dust2 | 13–6 | 0.03 | 15% | 30 May → | |
| nuke | 16–13 | -0.02 | 6% | 30 May → | |
| ancient | 4–13 | -0.03 | 9% | 28 May → | |
| anubis | 13–8 | 0.09 | 15% | 28 May → | |
| anubis | 12–12 | -0.03 | 2% | 28 May → | |
| nuke | 13–16 | -0.01 | 11% | 20 May → | |
| dust2 | 12–16 | -0.05 | 10% | 17 May → | |
| overpass | 13–5 | -0.01 | 6% | 17 May → | |
| inferno | 13–7 | 0.08 | 10% | 17 May → | |
| nuke | 13–6 | -0.03 | 7% | 15 May → | |
| office | 13–0 | 0.05 | 20% | 15 May → | |
| overpass | 10–13 | 0.01 | 18% | 15 May → | |
| office | 1–13 | -0.06 | 17% | 15 May → | |
| dust2 | 2–13 | -0.07 | 0% | 15 May → | |
| cache | 7–13 | -0.04 | 18% | 10 May → | |
| overpass | 6–13 | -0.07 | 11% | 10 May → | |
| cache | 13–10 | -0.08 | 0% | 10 May → | |
| dust2 | 10–13 | -0.00 | 7% | 26 Apr → | |
| nuke | 6–13 | -0.01 | 10% | 26 Apr → | |
| inferno | 13–5 | 0.02 | 9% | 26 Apr → | |
| ancient | 13–4 | 0.06 | 12% | 26 Apr → | |
| ancient | 15–15 | -0.03 | 9% | 26 Apr → | |
| inferno | 13–5 | -0.02 | 13% | 26 Apr → | |
| inferno | 8–8 | -0.04 | 9% | 26 Apr → | |
| train | 13–2 | 0.10 | 5% | 26 Apr → | |
| ancient | 14–16 | -0.05 | 5% | 21 Apr → | |
| anubis | 4–13 | -0.08 | 12% | 18 Apr → | |
| nuke | 11–13 | 0.04 | 13% | 18 Apr → | |
| inferno | 13–8 | 0.14 | 10% | 18 Apr → | |
| dust2 | 13–8 | 0.02 | 17% | 18 Apr → | |
| dust2 | 13–7 | -0.00 | 13% | 17 Apr → | |
| dust2 | 6–13 | -0.00 | 11% | 11 Apr → | |
| dust2 | 13–10 | 0.05 | 8% | 11 Apr → | |
| nuke | 5–13 | -0.04 | 9% | 11 Apr → | |
| ancient | 7–13 | -0.01 | 14% | 11 Apr → |
Match data via Leetify.
