KÄ1 — CS2 Stats
DE76561198375373647[U:1:415107919]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 97% playstyle similarity
Most alike: opening-duel success, utility contribution.
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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 21 | 12–9 | 57% | 0.03 | |
| D | 21 | 7–14 | 33% | 0.01 | |
| A | 16 | 10–6 | 63% | 0.01 | |
| D | 15 | 4–11 | 27% | -0.01 | |
| A | 11 | 7–4 | 64% | 0.04 | |
| A | 8 | 5–3 | 63% | 0.00 | |
| D | 7 | 2–5 | 29% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.12 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 107 | 48% | 1.22 | 17.2 |
| Dust2 | 87 | 44% | 1.21 | 17.0 |
| Ancient | 78 | 47% | 1.15 | 15.9 |
| Mirage | 68 | 46% | 1.15 | 16.1 |
| Inferno | 64 | 50% | 1.19 | 17.6 |
| Vertigo | 43 | 53% | 1.77 | 17.7 |
| Nuke | 37 | 57% | 1.16 | 16.0 |
| Overpass | 6 | 50% | 0.98 | 13.3 |
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 14.4045% — 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.
27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.05 | 13% | 27 Aug → | ||
| 13–6 | 0.03 | 21% | 26 Aug → | ||
| 10–13 | -0.04 | 6% | 26 Aug → | ||
| 13–5 | 0.04 | 18% | 25 Aug → | ||
| 4–13 | -0.02 | 10% | 25 Aug → | ||
| 15–15 | 0.00 | 13% | 25 Aug → | ||
| 7–13 | 0.05 | 15% | 25 Aug → | ||
| 13–11 | -0.01 | 6% | 21 Aug → | ||
| 13–6 | 0.18 | 14% | 21 Aug → | ||
| 4–13 | -0.04 | 21% | 20 Aug → | ||
| 16–14 | 0.14 | 16% | 20 Aug → | ||
| 8–13 | 0.00 | 13% | 20 Aug → | ||
| 13–8 | 0.15 | 16% | 19 Aug → | ||
| 10–13 | -0.05 | 23% | 19 Aug → | ||
| 13–4 | 0.03 | 12% | 19 Aug → | ||
| 9–13 | -0.12 | 16% | 18 Aug → | ||
| 13–4 | 0.06 | 11% | 18 Aug → | ||
| 13–10 | 0.06 | 12% | 18 Aug → | ||
| 8–13 | -0.01 | 17% | 18 Aug → | ||
| 13–10 | 0.09 | 14% | 18 Aug → | ||
| 13–4 | 0.08 | 15% | 18 Aug → | ||
| 13–4 | 0.12 | 21% | 18 Aug → | ||
| 13–5 | -0.02 | 16% | 16 Aug → | ||
| 13–7 | 0.06 | 9% | 14 Aug → | ||
| 6–13 | 0.00 | 0% | 13 Aug → | ||
| 7–13 | -0.03 | 18% | 10 Aug → | ||
| 13–11 | 0.03 | 11% | 9 Aug → | ||
| 13–9 | -0.01 | 23% | 9 Aug → | ||
| 11–13 | 0.03 | 11% | 9 Aug → | ||
| 13–11 | 0.00 | 10% | 9 Aug → | ||
| 13–4 | 0.03 | 13% | 9 Aug → | ||
| 13–1 | 0.11 | 21% | 7 Aug → | ||
| 5–13 | 0.02 | 21% | 7 Aug → | ||
| 4–13 | 0.01 | 26% | 7 Aug → | ||
| 10–13 | -0.02 | 16% | 5 Aug → | ||
| 13–7 | -0.00 | 12% | 5 Aug → | ||
| 13–9 | 0.07 | 9% | 5 Aug → | ||
| 13–3 | 0.07 | 22% | 5 Aug → | ||
| 10–13 | -0.03 | 13% | 4 Aug → | ||
| 13–10 | 0.06 | 4% | 4 Aug → | ||
| 13–6 | 0.02 | 18% | 4 Aug → | ||
| 11–13 | -0.01 | 18% | 4 Aug → | ||
| 3–13 | -0.08 | 7% | 4 Aug → | ||
| 10–13 | 0.09 | 19% | 3 Aug → | ||
| 5–13 | 0.04 | 13% | 3 Aug → | ||
| 6–13 | 0.07 | 10% | 2 Aug → | ||
| 13–4 | 0.04 | 9% | 2 Aug → | ||
| 13–2 | 0.12 | 23% | 2 Aug → | ||
| 10–13 | 0.09 | 11% | 2 Aug → | ||
| 11–13 | 0.07 | 14% | 1 Aug → | ||
| 1–13 | -0.01 | 18% | 1 Aug → | ||
| 8–13 | -0.04 | 50% | 1 Aug → | ||
| 8–13 | -0.04 | 28% | 1 Aug → | ||
| 13–6 | 0.05 | 6% | 31 Jul → | ||
| 13–11 | -0.05 | 16% | 31 Jul → | ||
| 11–13 | -0.03 | 33% | 31 Jul → | ||
| 13–8 | 0.00 | 10% | 31 Jul → | ||
| 15–15 | 0.08 | 23% | 30 Jul → | ||
| 1–13 | -0.12 | 10% | 30 Jul → | ||
| 12–16 | -0.02 | 15% | 30 Jul → | ||
| 13–11 | -0.00 | 32% | 30 Jul → | ||
| 7–13 | -0.06 | 20% | 29 Jul → | ||
| 10–13 | -0.00 | 24% | 29 Jul → | ||
| 11–13 | -0.05 | 12% | 29 Jul → | ||
| 5–13 | -0.04 | 10% | 29 Jul → | ||
| 1–13 | -0.05 | 15% | 29 Jul → | ||
| 5–13 | 0.00 | 23% | 28 Jul → | ||
| 11–13 | 0.00 | 14% | 28 Jul → | ||
| 16–14 | -0.07 | 22% | 28 Jul → | ||
| 5–13 | 0.01 | 13% | 28 Jul → | ||
| 13–6 | -0.02 | 14% | 28 Jul → | ||
| 6–13 | -0.04 | 13% | 28 Jul → | ||
| 9–13 | -0.00 | 25% | 28 Jul → | ||
| 13–9 | -0.01 | 13% | 28 Jul → | ||
| 5–13 | 0.01 | 12% | 28 Jul → | ||
| 13–11 | 0.02 | 18% | 28 Jul → | ||
| 13–4 | 0.03 | 12% | 28 Jul → | ||
| 13–7 | 0.13 | 11% | 27 Jul → | ||
| 13–7 | 0.06 | 19% | 27 Jul → | ||
| 5–13 | -0.03 | 14% | 27 Jul → | ||
| 9–13 | 0.01 | 23% | 27 Jul → | ||
| 13–11 | 0.07 | 24% | 27 Jul → | ||
| 4–13 | 0.12 | 100% | 27 Jul → | ||
| 13–10 | 0.03 | 19% | 27 Jul → | ||
| 13–9 | 0.07 | 20% | 27 Jul → | ||
| 13–7 | -0.07 | 20% | 26 Jul → | ||
| 9–13 | -0.01 | 10% | 26 Jul → | ||
| 3–13 | -0.05 | 27% | 26 Jul → | ||
| 3–13 | -0.07 | 13% | 26 Jul → | ||
| 13–7 | -0.09 | 12% | 26 Jul → | ||
| 11–13 | -0.01 | 7% | 26 Jul → | ||
| 7–13 | -0.04 | 22% | 26 Jul → | ||
| 7–13 | 0.03 | 26% | 26 Jul → | ||
| 13–1 | 0.04 | 21% | 25 Jul → | ||
| 14–16 | 0.04 | 16% | 25 Jul → | ||
| 10–13 | 0.03 | 17% | 25 Jul → | ||
| 13–6 | 0.09 | 35% | 25 Jul → | ||
| 15–15 | -0.06 | 0% | 25 Jul → | ||
| 13–10 | 0.07 | 15% | 25 Jul → | ||
| 13–11 | 0.04 | 22% | 25 Jul → |
Match data via Leetify.