Jotkaes — CS2 Stats
DE76561198213807925[U:1:253542197]Steam profile ↗
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=1,660), 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 | Level 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 49.8% | 44.0% | 44.7% | above |
| Shot accuracy | 15.7% | 11.6% | 11.9% | above |
| Kill/death ratio | 1.04 | 1.03 | 1.04 | meets |
| Match win rate | 45.0% | 45.1% | 45.2% | meets |
Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 94% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 41 | 25–16 | 61% | 0.05 | |
| A | 18 | 10–8 | 56% | 0.05 | |
| S | 17 | 13–4 | 76% | 0.05 | |
| S | 9 | 8–1 | 89% | 0.06 | |
| S | 8 | 7–1 | 88% | 0.04 | |
| — | 4 | 1–3 | 25% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.13 | |
| office | — | 1 | 0–1 | 0% | -0.05 |
| — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (56% over 18). Start with the 6 essential Mirage 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
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–9 | -0.09 | 17% | 11 Jul → | ||
| 5–13 | -0.09 | 21% | 1 Jul → | ||
| 11–13 | -0.05 | 33% | 28 Jun → | ||
| 13–8 | -0.00 | 20% | 27 Jun → | ||
| 13–1 | -0.03 | 23% | 27 Jun → | ||
| 13–10 | 0.09 | 21% | 27 Jun → | ||
| 13–6 | -0.02 | 19% | 27 Jun → | ||
| 5–13 | -0.03 | 17% | 27 Jun → | ||
| 8–8 | -0.02 | 8% | 16 Jun → | ||
| 13–8 | -0.04 | 9% | 16 Jun → | ||
| 13–7 | 0.01 | 4% | 16 Jun → | ||
| 9–5 | 0.03 | 15% | 16 Jun → | ||
| 9–5 | -0.06 | 9% | 16 Jun → | ||
| 3–13 | -0.02 | 13% | 14 Jun → | ||
| 13–10 | -0.03 | 10% | 10 Jun → | ||
| 16–13 | 0.05 | 26% | 10 Jun → | ||
| 11–6 | 0.01 | 9% | 10 Jun → | ||
| 13–5 | 0.08 | 18% | 10 Jun → | ||
| 13–11 | 0.06 | 12% | 9 Jun → | ||
| 16–12 | 0.06 | 12% | 9 Jun → | ||
| 13–7 | 0.07 | 27% | 9 Jun → | ||
| 13–9 | 0.10 | 29% | 9 Jun → | ||
| 12–16 | 0.00 | 14% | 9 Jun → | ||
| 13–5 | 0.03 | 18% | 9 Jun → | ||
| 13–10 | 0.07 | 20% | 9 Jun → | ||
| 9–5 | 0.02 | 10% | 9 Jun → | ||
| 8–8 | 0.01 | 19% | 9 Jun → | ||
| 9–4 | 0.08 | 33% | 7 Jun → | ||
| 8–8 | 0.17 | 33% | 7 Jun → | ||
| 8–8 | 0.08 | 8% | 3 Jun → | ||
| 1–9 | -0.13 | 33% | 31 May → | ||
| 9–7 | 0.03 | 21% | 31 May → | ||
| 4–9 | -0.07 | 10% | 24 Apr → | ||
| 8–8 | 0.11 | 14% | 23 Mar → | ||
| 13–11 | 0.06 | 20% | 23 Mar → | ||
| 9–5 | 0.04 | 22% | 23 Mar → | ||
| 9–6 | 0.11 | 26% | 23 Mar → | ||
| 13–7 | 0.11 | 22% | 8 Mar → | ||
| 9–7 | 0.09 | 38% | 7 Mar → | ||
| 8–8 | 0.01 | 19% | 4 Mar → | ||
| 13–11 | -0.03 | 11% | 24 Feb → | ||
| 13–5 | 0.12 | 25% | 23 Feb → | ||
| 13–6 | 0.19 | 16% | 22 Feb → | ||
| 9–1 | 0.12 | 23% | 22 Feb → | ||
| 9–5 | -0.01 | 7% | 22 Feb → | ||
| 13–4 | 0.08 | 30% | 21 Feb → | ||
| 13–8 | 0.11 | 13% | 21 Feb → | ||
| 9–5 | 0.07 | 10% | 21 Feb → | ||
| 9–2 | 0.05 | 24% | 21 Feb → | ||
| 13–9 | 0.07 | 19% | 21 Feb → | ||
| 9–1 | 0.26 | 30% | 21 Feb → | ||
| 9–4 | 0.14 | 17% | 21 Feb → | ||
| 13–2 | 0.15 | 24% | 20 Feb → | ||
| 13–8 | 0.09 | 14% | 20 Feb → | ||
| 13–9 | 0.20 | 18% | 20 Feb → | ||
| 13–10 | 0.12 | 15% | 19 Feb → | ||
| 13–7 | 0.09 | 10% | 19 Feb → | ||
| 13–2 | 0.17 | 16% | 19 Feb → | ||
| 13–7 | 0.07 | 24% | 19 Feb → | ||
| 13–0 | 0.07 | 19% | 19 Feb → | ||
| 13–10 | 0.09 | 29% | 18 Feb → | ||
| 8–13 | 0.02 | 9% | 17 Feb → | ||
| 13–3 | 0.06 | 15% | 17 Feb → | ||
| 3–9 | -0.07 | 12% | 17 Feb → | ||
| 11–13 | 0.03 | 14% | 16 Feb → | ||
| 13–10 | 0.03 | 13% | 16 Feb → | ||
| 6–13 | -0.02 | 12% | 15 Feb → | ||
| 13–5 | 0.15 | 25% | 14 Feb → | ||
| 7–13 | 0.08 | 10% | 14 Feb → | ||
| 13–6 | 0.08 | 20% | 14 Feb → | ||
| 13–4 | 0.03 | 20% | 14 Feb → | ||
| 9–13 | -0.00 | 11% | 13 Feb → | ||
| 9–6 | 0.01 | 15% | 13 Feb → | ||
| 9–7 | 0.13 | 22% | 11 Feb → | ||
| 13–6 | -0.01 | 9% | 10 Feb → | ||
| 13–11 | 0.07 | 19% | 8 Feb → | ||
| 11–13 | 0.06 | 20% | 7 Feb → | ||
| 13–16 | 0.01 | 13% | 6 Feb → | ||
| 13–10 | 0.16 | 20% | 5 Feb → | ||
| 5–13 | -0.01 | 5% | 4 Feb → | ||
| 11–13 | 0.04 | 12% | 3 Feb → | ||
| 13–8 | 0.06 | 8% | 3 Feb → | ||
| 13–10 | 0.07 | 8% | 3 Feb → | ||
| 11–13 | -0.02 | 13% | 3 Feb → | ||
| 11–13 | 0.02 | 9% | 1 Feb → | ||
| 13–5 | -0.01 | 8% | 23 Jan → | ||
| office | 6–13 | -0.05 | 16% | 13 Jan → | |
| 9–5 | 0.01 | 23% | 3 Jan → | ||
| 3–9 | -0.11 | 22% | 3 Jan → | ||
| 6–13 | 0.04 | 15% | 28 Dec → | ||
| 6–9 | -0.07 | 18% | 17 Dec → | ||
| 14–16 | 0.01 | 13% | 18 Nov → | ||
| 13–10 | -0.03 | 12% | 18 Nov → | ||
| 13–8 | 0.10 | 12% | 17 Nov → | ||
| 13–7 | 0.03 | 16% | 12 Nov → | ||
| 10–13 | 0.06 | 20% | 28 Oct → | ||
| 4–13 | 0.08 | 21% | 24 Oct → | ||
| 13–6 | 0.18 | 15% | 20 Oct → | ||
| 8–13 | 0.04 | 9% | 17 Oct → | ||
| 4–13 | 0.03 | 9% | 17 Oct → |
Match data via Leetify.