Young Jockstrap — CS2 Stats
MZ76561198008971302[U:1:48705574]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 86% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 558ms 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 5.7/10 (Solid), 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 | 25 | 16–9 | 64% | 0.01 | |
| A | 24 | 15–9 | 63% | 0.00 | |
| C | 20 | 8–12 | 40% | -0.01 | |
| S | 11 | 8–3 | 73% | 0.00 | |
| C | 10 | 4–6 | 40% | -0.00 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| — | 2 | 1–1 | 50% | -0.04 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| debris | — | 1 | 1–0 | 100% | 0.06 |
| — | 1 | 0–1 | 0% | 0.03 | |
| warden | — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 60% | 1.00 | 14.2 |
| Anubis | 2 | 0% | 0.98 | 16.0 |
| Inferno | 1 | 0% | 1.42 | 34.0 |
| Dust2 | 1 | 0% | 0.47 | 7.0 |
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 11.4245% — 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 27.1871% — 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 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.04 | 14% | 21 Aug → | ||
| 13–16 | -0.00 | 9% | 18 Aug → | ||
| 13–3 | -0.01 | 11% | 15 Aug → | ||
| 7–13 | -0.00 | 15% | 14 Aug → | ||
| 13–7 | 0.03 | 20% | 14 Aug → | ||
| 3–13 | -0.08 | 5% | 10 Aug → | ||
| debris | 9–5 | 0.06 | 17% | 8 Aug → | |
| 5–9 | 0.01 | 10% | 8 Aug → | ||
| 7–13 | -0.02 | 8% | 7 Aug → | ||
| 0–3 | -0.05 | 0% | 7 Aug → | ||
| 13–9 | 0.07 | 18% | 4 Aug → | ||
| 8–13 | -0.06 | 16% | 3 Aug → | ||
| 13–10 | 0.01 | 13% | 1 Aug → | ||
| 12–16 | -0.01 | 10% | 1 Aug → | ||
| 13–10 | -0.01 | 10% | 31 Jul → | ||
| 13–5 | 0.12 | 18% | 31 Jul → | ||
| 13–11 | 0.04 | 6% | 31 Jul → | ||
| 16–14 | -0.03 | 13% | 30 Jul → | ||
| 13–5 | -0.06 | 9% | 30 Jul → | ||
| 16–13 | 0.01 | 9% | 29 Jul → | ||
| 0–8 | -0.02 | 17% | 26 Jul → | ||
| 11–13 | 0.06 | 14% | 26 Jul → | ||
| 13–8 | 0.07 | 15% | 23 Jul → | ||
| 11–13 | 0.01 | 8% | 23 Jul → | ||
| 13–4 | 0.06 | 9% | 22 Jul → | ||
| 13–16 | -0.01 | 10% | 22 Jul → | ||
| 11–13 | -0.01 | 11% | 22 Jul → | ||
| 7–13 | -0.03 | 12% | 19 Jul → | ||
| 13–2 | -0.04 | 9% | 18 Jul → | ||
| 13–10 | 0.00 | 11% | 17 Jul → | ||
| 13–4 | -0.02 | 6% | 17 Jul → | ||
| 7–13 | -0.01 | 11% | 14 Jul → | ||
| 13–8 | -0.01 | 17% | 13 Jul → | ||
| 1–13 | -0.07 | 9% | 13 Jul → | ||
| 13–8 | 0.02 | 24% | 11 Jul → | ||
| 13–3 | 0.08 | 14% | 11 Jul → | ||
| 13–3 | 0.01 | 15% | 11 Jul → | ||
| 4–13 | -0.05 | 8% | 4 Jul → | ||
| 13–1 | 0.04 | 17% | 4 Jul → | ||
| 6–13 | -0.01 | 10% | 2 Jul → | ||
| 13–6 | 0.05 | 5% | 2 Jul → | ||
| 11–13 | -0.01 | 11% | 1 Jul → | ||
| 1–9 | 0.00 | 0% | 29 Jun → | ||
| 13–11 | -0.04 | 8% | 25 Jun → | ||
| 13–4 | -0.02 | 4% | 23 Jun → | ||
| 11–13 | -0.01 | 13% | 23 Jun → | ||
| 12–12 | 0.00 | 13% | 22 Jun → | ||
| 13–11 | 0.03 | 13% | 21 Jun → | ||
| 13–10 | -0.00 | 19% | 21 Jun → | ||
| 13–3 | 0.00 | 18% | 18 Jun → | ||
| 13–4 | -0.00 | 9% | 17 Jun → | ||
| 11–13 | 0.01 | 6% | 12 Jun → | ||
| 13–9 | -0.02 | 18% | 10 Jun → | ||
| 13–7 | -0.00 | 14% | 10 Jun → | ||
| 13–10 | -0.07 | 5% | 10 Jun → | ||
| 11–13 | -0.03 | 7% | 8 Jun → | ||
| 13–11 | -0.02 | 9% | 8 Jun → | ||
| 13–7 | 0.05 | 19% | 26 May → | ||
| 9–13 | -0.01 | 22% | 26 May → | ||
| 12–12 | 0.04 | 13% | 23 May → | ||
| 13–11 | -0.05 | 8% | 2 May → | ||
| 13–9 | -0.01 | 11% | 1 May → | ||
| 16–13 | 0.01 | 10% | 30 Apr → | ||
| 13–7 | 0.08 | 19% | 27 Apr → | ||
| 13–4 | 0.03 | 10% | 27 Apr → | ||
| 10–13 | 0.03 | 13% | 26 Apr → | ||
| 4–13 | 0.10 | 17% | 26 Apr → | ||
| 11–13 | 0.04 | 8% | 25 Apr → | ||
| 13–8 | 0.02 | 8% | 22 Apr → | ||
| 13–8 | 0.01 | 11% | 22 Apr → | ||
| 10–13 | 0.03 | 11% | 21 Apr → | ||
| 12–12 | -0.05 | 11% | 14 Apr → | ||
| 13–7 | 0.14 | 22% | 8 Apr → | ||
| 7–13 | -0.08 | 11% | 6 Apr → | ||
| 12–12 | 0.02 | 13% | 5 Apr → | ||
| 16–14 | -0.07 | 16% | 5 Apr → | ||
| 3–13 | 0.01 | 7% | 26 Mar → | ||
| 13–10 | 0.02 | 7% | 21 Mar → | ||
| 13–10 | 0.02 | 20% | 21 Mar → | ||
| 11–13 | -0.04 | 14% | 17 Mar → | ||
| 15–15 | -0.05 | 12% | 16 Mar → | ||
| 13–3 | 0.02 | 10% | 16 Mar → | ||
| 13–0 | 0.15 | 3% | 14 Mar → | ||
| 2–13 | -0.02 | 17% | 1 Mar → | ||
| 6–13 | -0.04 | 17% | 22 Feb → | ||
| 13–5 | 0.03 | 13% | 22 Feb → | ||
| 13–10 | 0.02 | 18% | 16 Feb → | ||
| 13–11 | -0.03 | 17% | 12 Feb → | ||
| 7–13 | -0.01 | 20% | 12 Feb → | ||
| 8–13 | -0.05 | 15% | 10 Feb → | ||
| 13–5 | 0.05 | 21% | 8 Feb → | ||
| 13–6 | -0.00 | 13% | 5 Feb → | ||
| 5–13 | -0.08 | 14% | 4 Feb → | ||
| 9–13 | -0.10 | 0% | 3 Feb → | ||
| 6–13 | -0.04 | 9% | 3 Feb → | ||
| warden | 13–5 | 0.03 | 6% | 3 Feb → | |
| 13–9 | -0.04 | 10% | 1 Feb → | ||
| 13–5 | 0.05 | 18% | 1 Feb → | ||
| 13–2 | -0.02 | 5% | 1 Feb → | ||
| 13–5 | 0.00 | 17% | 31 Jan → |
Match data via Leetify.