Loko — CS2 Stats
76561198061284856[U:1:101019128]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.04 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Reliable in 1v1s
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 85% playstyle similarity
Most alike: opening-fight frequency, 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
Areas to improve
Reaction time. 671ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% 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 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 23 | 13–10 | 57% | -0.01 | |
| A | 21 | 12–9 | 57% | -0.00 | |
| B | 17 | 9–8 | 53% | 0.01 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| D | 7 | 1–6 | 14% | -0.02 | |
| S | 6 | 5–1 | 83% | 0.01 | |
| S | 5 | 5–0 | 100% | -0.00 | |
| — | 3 | 3–0 | 100% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.11 | |
| office | — | 2 | 1–1 | 50% | -0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (14% over 7). 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 10 | 40% | 0.74 | 12.9 |
| Mirage | 8 | 50% | 0.84 | 12.8 |
| Inferno | 5 | 40% | 0.91 | 15.4 |
| Anubis | 5 | 60% | 0.98 | 15.0 |
| Ancient | 4 | 0% | 0.69 | 11.3 |
| Cache | 4 | 50% | 0.86 | 13.0 |
| Nuke | 2 | 100% | 1.00 | 16.0 |
| Overpass | 1 | 100% | 1.00 | 19.0 |
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 14.4661% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.03 | 13% | 4 Aug → | ||
| 16–14 | -0.05 | 9% | 4 Aug → | ||
| 13–4 | -0.01 | 23% | 4 Aug → | ||
| 10–13 | 0.05 | 13% | 23 Jul → | ||
| 13–10 | 0.10 | 11% | 23 Jul → | ||
| 9–2 | 0.17 | 19% | 23 Jul → | ||
| 13–7 | 0.01 | 21% | 23 Jul → | ||
| 13–7 | 0.00 | 16% | 23 Jul → | ||
| 3–13 | -0.03 | 15% | 21 Jul → | ||
| 13–10 | -0.00 | 11% | 21 Jul → | ||
| 13–16 | -0.02 | 10% | 20 Jul → | ||
| 5–13 | -0.01 | 21% | 20 Jul → | ||
| 13–7 | -0.03 | 11% | 20 Jul → | ||
| 13–11 | 0.03 | 15% | 20 Jul → | ||
| 13–5 | -0.00 | 10% | 20 Jul → | ||
| 9–13 | -0.06 | 14% | 20 Jul → | ||
| 7–13 | -0.04 | 14% | 14 Jul → | ||
| 9–13 | -0.05 | 5% | 13 Jul → | ||
| 13–4 | -0.02 | 11% | 13 Jul → | ||
| 11–13 | -0.00 | 14% | 13 Jul → | ||
| 13–9 | 0.03 | 15% | 13 Jul → | ||
| 12–12 | 0.03 | 8% | 13 Jul → | ||
| 13–5 | 0.13 | 22% | 13 Jul → | ||
| 13–8 | 0.05 | 27% | 13 Jul → | ||
| 6–13 | 0.06 | 13% | 13 Jul → | ||
| 6–13 | -0.09 | 7% | 13 Jul → | ||
| 13–4 | -0.00 | 24% | 12 Jul → | ||
| 13–16 | -0.04 | 17% | 12 Jul → | ||
| 9–13 | -0.08 | 25% | 10 Jul → | ||
| 13–11 | -0.05 | 12% | 10 Jul → | ||
| 13–10 | 0.04 | 15% | 10 Jul → | ||
| 13–6 | 0.03 | 15% | 9 Jul → | ||
| 13–5 | 0.07 | 14% | 9 Jul → | ||
| 13–9 | 0.05 | 20% | 9 Jul → | ||
| 13–5 | 0.02 | 18% | 9 Jul → | ||
| 13–3 | 0.04 | 22% | 9 Jul → | ||
| 10–13 | 0.05 | 20% | 9 Jul → | ||
| 16–13 | -0.03 | 14% | 5 Jul → | ||
| 6–13 | -0.03 | 15% | 5 Jul → | ||
| 14–16 | -0.03 | 20% | 3 Jul → | ||
| 10–13 | 0.01 | 19% | 2 Jul → | ||
| 4–13 | -0.04 | 11% | 2 Jul → | ||
| 13–3 | 0.04 | 22% | 2 Jul → | ||
| 13–7 | 0.03 | 14% | 2 Jul → | ||
| 13–10 | -0.02 | 18% | 1 Jul → | ||
| 3–9 | -0.18 | 14% | 24 Jun → | ||
| 9–5 | 0.08 | 15% | 24 Jun → | ||
| 9–6 | -0.03 | 16% | 24 Jun → | ||
| 19–16 | -0.08 | 9% | 24 Jun → | ||
| 9–13 | -0.00 | 4% | 23 Jun → | ||
| 13–10 | 0.03 | 13% | 22 Jun → | ||
| 13–3 | 0.08 | 8% | 15 Jun → | ||
| 11–13 | -0.05 | 17% | 15 Jun → | ||
| 5–13 | -0.07 | 17% | 15 Jun → | ||
| 13–8 | -0.02 | 9% | 14 Jun → | ||
| office | 13–6 | -0.07 | 19% | 20 Mar → | |
| 7–1 | -0.01 | 29% | 19 Mar → | ||
| office | 12–12 | -0.08 | 9% | 19 Mar → | |
| 16–14 | -0.02 | 14% | 16 Mar → | ||
| 15–15 | 0.00 | 11% | 16 Mar → | ||
| 15–15 | 0.03 | 26% | 16 Mar → | ||
| 13–6 | 0.04 | 20% | 15 Mar → | ||
| 4–13 | -0.08 | 15% | 15 Mar → | ||
| 13–10 | 0.07 | 14% | 15 Mar → | ||
| 6–13 | 0.03 | 15% | 15 Mar → | ||
| 12–12 | 0.08 | 17% | 15 Mar → | ||
| 13–10 | 0.01 | 2% | 15 Mar → | ||
| 11–13 | -0.03 | 12% | 14 Mar → | ||
| 6–13 | -0.07 | 5% | 10 Mar → | ||
| 16–14 | 0.01 | 9% | 9 Mar → | ||
| 13–5 | 0.02 | 10% | 9 Mar → | ||
| 11–13 | -0.06 | 4% | 9 Mar → | ||
| 13–9 | -0.01 | 16% | 9 Mar → | ||
| 13–7 | -0.00 | 7% | 9 Mar → | ||
| 5–9 | -0.09 | 0% | 8 Mar → | ||
| 13–10 | 0.03 | 11% | 8 Mar → | ||
| 11–13 | -0.07 | 20% | 8 Mar → | ||
| 15–15 | -0.02 | 13% | 7 Mar → | ||
| 8–13 | -0.00 | 11% | 2 Mar → | ||
| 16–13 | 0.03 | 21% | 2 Mar → | ||
| 13–6 | -0.01 | 6% | 2 Mar → | ||
| 7–13 | 0.00 | 10% | 1 Mar → | ||
| 13–8 | 0.03 | 17% | 1 Mar → | ||
| 13–4 | 0.02 | 11% | 1 Mar → | ||
| 10–13 | -0.03 | 21% | 1 Mar → | ||
| 9–13 | -0.10 | 14% | 1 Mar → | ||
| 7–13 | -0.03 | 17% | 27 Feb → | ||
| 13–7 | -0.07 | 14% | 27 Feb → | ||
| 9–13 | -0.01 | 17% | 27 Feb → | ||
| 13–4 | -0.06 | 17% | 27 Feb → | ||
| 13–9 | 0.05 | 7% | 27 Feb → | ||
| 13–5 | -0.03 | 22% | 27 Feb → | ||
| 9–13 | -0.03 | 25% | 27 Feb → | ||
| 13–5 | -0.01 | 14% | 27 Feb → | ||
| 13–11 | 0.00 | 20% | 22 Feb → | ||
| 15–15 | 0.01 | 20% | 22 Feb → | ||
| 13–6 | -0.05 | 6% | 22 Feb → | ||
| 11–13 | -0.04 | 10% | 22 Feb → | ||
| 13–10 | -0.02 | 16% | 22 Feb → | ||
| 5–13 | -0.04 | 6% | 22 Feb → |
Match data via Leetify.