koitajoki — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 iM 92% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: 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
Strengths
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 564ms 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 5.9/10 (Solid), 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 |
|---|---|---|---|---|---|
 nuke | C | 27 | 11–16 | 41% | -0.00 |
 mirage | B | 21 | 10–11 | 48% | 0.00 |
 inferno | A | 16 | 10–6 | 63% | -0.00 |
 ancient | B | 11 | 5–6 | 45% | 0.02 |
 anubis | C | 5 | 2–3 | 40% | -0.04 |
 dust2 | C | 5 | 2–3 | 40% | 0.02 |
 cache | — | 4 | 2–2 | 50% | -0.00 |
 train | — | 4 | 1–3 | 25% | -0.03 |
 vertigo | — | 3 | 2–1 | 67% | 0.01 |
 overpass | — | 3 | 0–3 | 0% | -0.03 |
| shortdust | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 270 | 48% | 0.98 | 15.0 |
| Nuke | 155 | 59% | 1.03 | 15.6 |
| Inferno | 123 | 50% | 0.92 | 14.7 |
| Ancient | 105 | 48% | 0.99 | 15.5 |
| Anubis | 82 | 49% | 0.95 | 15.3 |
| Dust2 | 60 | 52% | 1.01 | 15.4 |
| Vertigo | 47 | 45% | 1.00 | 17.0 |
| Overpass | 40 | 45% | 0.98 | 14.2 |
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.
- 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 34.0204% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 14–16 | -0.02 | 14% | 28 Aug → | |
| anubis | 8–13 | 0.02 | 22% | 24 Aug → | |
| nuke | 10–13 | 0.04 | 24% | 24 Aug → | |
| ancient | 7–13 | 0.00 | 26% | 20 Aug → | |
| cache | 6–13 | -0.01 | 38% | 18 Aug → | |
| anubis | 13–9 | -0.10 | 30% | 16 Aug → | |
| mirage | 13–8 | 0.09 | 28% | 14 Aug → | |
| nuke | 7–13 | -0.04 | 35% | 13 Aug → | |
| anubis | 13–4 | -0.01 | 16% | 11 Aug → | |
| nuke | 19–16 | 0.03 | 26% | 6 Aug → | |
| inferno | 13–10 | -0.02 | 29% | 29 Jul → | |
| inferno | 13–9 | 0.01 | 27% | 29 Jul → | |
| cache | 13–3 | 0.08 | 43% | 15 Jul → | |
| ancient | 13–11 | 0.00 | 30% | 13 Jul → | |
| nuke | 9–7 | -0.04 | 23% | 13 Jul → | |
| inferno | 13–4 | 0.07 | 19% | 8 Jul → | |
| vertigo | 13–3 | 0.04 | 14% | 8 Jul → | |
| nuke | 8–13 | -0.08 | 21% | 7 Jul → | |
| inferno | 13–6 | 0.04 | 30% | 7 Jul → | |
| mirage | 13–3 | -0.04 | 25% | 7 Jul → | |
| nuke | 11–13 | 0.01 | 19% | 1 Jun → | |
| nuke | 13–10 | 0.04 | 18% | 1 Jun → | |
| cache | 6–13 | -0.03 | 16% | 1 Jun → | |
| mirage | 11–13 | -0.01 | 30% | 20 May → | |
| inferno | 14–16 | -0.04 | 34% | 15 May → | |
| nuke | 13–5 | -0.02 | 21% | 15 May → | |
| dust2 | 13–9 | -0.01 | 35% | 14 May → | |
| mirage | 13–4 | 0.14 | 28% | 14 May → | |
| nuke | 13–7 | -0.02 | 30% | 14 May → | |
| cache | 13–8 | -0.04 | 40% | 14 May → | |
| inferno | 11–13 | -0.07 | 20% | 13 May → | |
| mirage | 5–13 | -0.05 | 42% | 13 May → | |
| mirage | 2–13 | -0.02 | 30% | 22 Mar → | |
| inferno | 13–10 | -0.02 | 29% | 22 Mar → | |
| nuke | 11–13 | 0.04 | 25% | 22 Mar → | |
| overpass | 11–13 | 0.04 | 31% | 16 Mar → | |
| mirage | 9–13 | 0.02 | 18% | 16 Mar → | |
| nuke | 8–13 | -0.01 | 21% | 14 Mar → | |
| ancient | 13–8 | 0.05 | 22% | 11 Mar → | |
| nuke | 13–9 | 0.06 | 30% | 8 Mar → | |
| nuke | 7–13 | -0.04 | 16% | 8 Mar → | |
| anubis | 6–13 | -0.06 | 26% | 8 Mar → | |
| dust2 | 13–6 | 0.08 | 37% | 4 Mar → | |
| inferno | 23–25 | 0.02 | 29% | 3 Mar → | |
| ancient | 7–13 | 0.00 | 27% | 3 Mar → | |
| nuke | 9–0 | 0.18 | 27% | 2 Mar → | |
| nuke | 5–9 | -0.00 | 17% | 16 Feb → | |
| shortdust | 12–9 | 0.02 | 26% | 6 Feb → | |
| mirage | 13–8 | -0.04 | 35% | 6 Feb → | |
| nuke | 6–13 | -0.04 | 41% | 5 Feb → | |
| nuke | 13–7 | 0.01 | 18% | 28 Jan → | |
| ancient | 13–11 | 0.10 | 35% | 26 Jan → | |
| mirage | 0–13 | -0.08 | 36% | 25 Jan → | |
| mirage | 13–8 | -0.02 | 5% | 20 Jan → | |
| anubis | 10–13 | -0.03 | 8% | 19 Jan → | |
| mirage | 5–13 | 0.00 | 11% | 17 Jan → | |
| train | 13–11 | 0.04 | 24% | 17 Jan → | |
| ancient | 10–13 | -0.01 | 23% | 15 Jan → | |
| dust2 | 8–13 | 0.02 | 31% | 12 Jan → | |
| dust2 | 10–13 | 0.04 | 16% | 11 Jan → | |
| nuke | 10–13 | -0.01 | 25% | 20 Dec → | |
| nuke | 13–9 | -0.03 | 14% | 15 Dec → | |
| mirage | 6–13 | 0.07 | 47% | 13 Dec → | |
| mirage | 10–13 | -0.04 | 11% | 9 Dec → | |
| mirage | 6–13 | -0.04 | 22% | 3 Dec → | |
| nuke | 13–10 | -0.04 | 15% | 2 Dec → | |
| nuke | 14–16 | 0.01 | 23% | 20 Oct → | |
| nuke | 6–13 | -0.12 | 4% | 19 Sept → | |
| train | 15–19 | -0.01 | 27% | 18 Sept → | |
| ancient | 10–13 | -0.02 | 26% | 7 Sept → | |
| mirage | 25–21 | -0.01 | 15% | 7 Sept → | |
| ancient | 6–13 | 0.01 | 31% | 31 Aug → | |
| train | 8–13 | -0.12 | 14% | 30 Aug → | |
| ancient | 4–13 | -0.04 | 23% | 24 Aug → | |
| ancient | 13–8 | 0.06 | 22% | 22 Aug → | |
| mirage | 13–9 | -0.03 | 31% | 20 Aug → | |
| vertigo | 9–3 | 0.06 | 28% | 16 Aug → | |
| ancient | 13–9 | 0.02 | 22% | 7 Aug → | |
| overpass | 9–13 | -0.02 | 23% | 5 Aug → | |
| inferno | 9–13 | -0.02 | 30% | 4 Aug → | |
| inferno | 16–13 | 0.01 | 14% | 1 Aug → | |
| inferno | 13–11 | 0.04 | 31% | 31 Jul → | |
| mirage | 13–9 | 0.05 | 20% | 31 Jul → | |
| mirage | 19–17 | 0.04 | 21% | 30 Jul → | |
| nuke | 4–13 | -0.09 | 31% | 21 Jul → | |
| train | 5–13 | -0.05 | 19% | 21 Jul → | |
| nuke | 17–19 | -0.00 | 24% | 20 Jul → | |
| inferno | 14–16 | -0.07 | 22% | 20 Jul → | |
| vertigo | 8–8 | -0.07 | 28% | 19 Jul → | |
| overpass | 5–12 | -0.09 | 13% | 16 Jul → | |
| mirage | 8–13 | -0.05 | 30% | 8 Jul → | |
| inferno | 13–8 | 0.01 | 23% | 6 Jul → | |
| nuke | 19–16 | 0.07 | 26% | 5 Jul → | |
| inferno | 13–6 | -0.02 | 29% | 1 Jul → | |
| nuke | 13–16 | -0.01 | 26% | 30 Jun → | |
| dust2 | 7–13 | -0.05 | 29% | 28 Jun → | |
| inferno | 9–7 | 0.02 | 21% | 22 Jun → | |
| mirage | 10–13 | -0.01 | 22% | 31 May → | |
| mirage | 16–14 | 0.02 | 15% | 29 May → | |
| nuke | 8–13 | 0.03 | 35% | 27 May → |
Match data via Leetify.