Jyams mane — CS2 Stats
SS76561198138841845[U:1:178576117]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 avg rating
Player DNA
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 Twistzz 76% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 54% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 635ms 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 3.7/10 (Learning), 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 |
|---|---|---|---|---|---|
| C | 24 | 9–15 | 38% | -0.02 | |
| B | 23 | 11–12 | 48% | 0.00 | |
| B | 21 | 10–11 | 48% | -0.01 | |
| S | 16 | 11–5 | 69% | -0.01 | |
| S | 10 | 7–3 | 70% | -0.00 | |
| C | 5 | 2–3 | 40% | -0.00 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 24). 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 3 | 67% | 0.57 | 10.3 |
| Mirage | 2 | 50% | 0.62 | 6.5 |
| Inferno | 1 | 0% | 0.53 | 10.0 |
| Anubis | 1 | 0% | 0.22 | 4.0 |
| Nuke | 1 | 0% | 0.59 | 10.0 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.9699° — above the 12° mark we flag
- 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 11.3063% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.1332 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.03 | 10% | 28 Aug → | ||
| 4–13 | -0.00 | 8% | 28 Aug → | ||
| 4–13 | -0.11 | 18% | 26 Aug → | ||
| 11–13 | 0.02 | 16% | 25 Aug → | ||
| 7–13 | 0.03 | 10% | 18 Aug → | ||
| 7–13 | -0.08 | 24% | 18 Aug → | ||
| 15–15 | 0.04 | 10% | 17 Aug → | ||
| 13–7 | -0.00 | 4% | 17 Aug → | ||
| 3–13 | -0.04 | 9% | 14 Aug → | ||
| 13–6 | 0.01 | 9% | 14 Aug → | ||
| 13–9 | 0.05 | 5% | 12 Aug → | ||
| 13–7 | 0.03 | 8% | 12 Aug → | ||
| 11–13 | 0.02 | 12% | 12 Aug → | ||
| 13–7 | -0.07 | 16% | 12 Aug → | ||
| 13–6 | -0.02 | 9% | 12 Aug → | ||
| 13–8 | 0.05 | 14% | 11 Aug → | ||
| 16–13 | 0.02 | 7% | 11 Aug → | ||
| 9–13 | -0.01 | 8% | 10 Aug → | ||
| 11–13 | -0.04 | 21% | 10 Aug → | ||
| 15–15 | 0.02 | 18% | 9 Aug → | ||
| 2–7 | -0.03 | 6% | 9 Aug → | ||
| 14–16 | -0.00 | 8% | 9 Aug → | ||
| 5–13 | 0.01 | 5% | 8 Aug → | ||
| 13–9 | -0.00 | 24% | 8 Aug → | ||
| 13–5 | 0.14 | 19% | 7 Aug → | ||
| 8–13 | -0.05 | 5% | 7 Aug → | ||
| 13–10 | -0.00 | 8% | 5 Aug → | ||
| 6–13 | 0.05 | 4% | 4 Aug → | ||
| 3–13 | -0.01 | 11% | 2 Aug → | ||
| 13–10 | -0.05 | 9% | 2 Aug → | ||
| 13–11 | 0.01 | 21% | 2 Aug → | ||
| 5–13 | -0.06 | 3% | 1 Aug → | ||
| 8–13 | 0.03 | 10% | 1 Aug → | ||
| 5–6 | -0.03 | 18% | 1 Aug → | ||
| 13–8 | -0.04 | 13% | 31 Jul → | ||
| 16–14 | -0.03 | 14% | 30 Jul → | ||
| 13–7 | -0.01 | 11% | 30 Jul → | ||
| 13–7 | -0.03 | 9% | 30 Jul → | ||
| 6–13 | 0.01 | 12% | 30 Jul → | ||
| 3–13 | -0.01 | 19% | 30 Jul → | ||
| 13–7 | -0.03 | 9% | 29 Jul → | ||
| 3–13 | -0.12 | 0% | 29 Jul → | ||
| 11–13 | 0.03 | 14% | 28 Jul → | ||
| 7–13 | 0.00 | 19% | 28 Jul → | ||
| 8–13 | 0.05 | 13% | 26 Jul → | ||
| 13–9 | -0.01 | 17% | 26 Jul → | ||
| 13–8 | 0.05 | 6% | 26 Jul → | ||
| 10–13 | 0.03 | 14% | 25 Jul → | ||
| 16–13 | -0.03 | 12% | 17 Jul → | ||
| 11–13 | -0.06 | 9% | 17 Jul → | ||
| 13–5 | 0.09 | 8% | 16 Jul → | ||
| 8–13 | -0.07 | 3% | 16 Jul → | ||
| 13–8 | -0.03 | 16% | 13 Jul → | ||
| 4–13 | -0.06 | 18% | 12 Jul → | ||
| 7–13 | -0.02 | 14% | 12 Jul → | ||
| 11–10 | -0.02 | 15% | 12 Jul → | ||
| 14–16 | -0.05 | 10% | 12 Jul → | ||
| 8–13 | -0.00 | 11% | 11 Jul → | ||
| 4–13 | -0.07 | 0% | 11 Jul → | ||
| 13–0 | 0.01 | 0% | 11 Jul → | ||
| 13–8 | 0.05 | 3% | 11 Jul → | ||
| 9–13 | -0.06 | 0% | 7 Jul → | ||
| 13–11 | -0.07 | 12% | 7 Jul → | ||
| 13–5 | -0.05 | 3% | 6 Jul → | ||
| 13–9 | 0.01 | 15% | 6 Jul → | ||
| 13–7 | -0.00 | 24% | 6 Jul → | ||
| 13–8 | 0.10 | 14% | 6 Jul → | ||
| 16–14 | 0.03 | 9% | 6 Jul → | ||
| 13–7 | -0.04 | 0% | 5 Jul → | ||
| 7–13 | -0.03 | 20% | 5 Jul → | ||
| 6–13 | -0.04 | 9% | 5 Jul → | ||
| 9–13 | -0.03 | 10% | 1 Jul → | ||
| 13–5 | 0.12 | 15% | 1 Jul → | ||
| 8–13 | 0.01 | 11% | 1 Jul → | ||
| 13–9 | 0.02 | 17% | 1 Jul → | ||
| 2–13 | 0.03 | 15% | 25 Jun → | ||
| 5–13 | -0.05 | 16% | 25 Jun → | ||
| 11–13 | -0.00 | 14% | 24 Jun → | ||
| 13–5 | 0.03 | 10% | 24 Jun → | ||
| 13–7 | -0.02 | 13% | 23 Jun → | ||
| 13–4 | 0.06 | 67% | 23 Jun → | ||
| 8–13 | 0.01 | 12% | 22 Jun → | ||
| 13–6 | 0.07 | 21% | 21 Jun → | ||
| 13–10 | -0.01 | 17% | 17 Jun → | ||
| 8–13 | -0.07 | 6% | 17 Jun → | ||
| 3–13 | 0.01 | 14% | 16 May → | ||
| 4–13 | -0.02 | 19% | 31 Jan → | ||
| 13–10 | -0.04 | 10% | 30 Jan → | ||
| 12–12 | -0.04 | 11% | 30 Jan → | ||
| 13–5 | 0.02 | 19% | 30 Jan → | ||
| 6–13 | -0.07 | 7% | 28 Jan → | ||
| 6–13 | -0.08 | 15% | 27 Jan → | ||
| 6–13 | -0.04 | 15% | 27 Jan → | ||
| 13–6 | 0.05 | 10% | 19 Jan → | ||
| 13–5 | -0.03 | 17% | 19 Jan → | ||
| 13–7 | -0.06 | 8% | 19 Jan → | ||
| 13–10 | -0.03 | 9% | 19 Jan → | ||
| 13–8 | 0.01 | 17% | 19 Jan → | ||
| 13–11 | -0.08 | 8% | 18 Jan → | ||
| 6–13 | -0.03 | 18% | 15 Jan → |
Match data via Leetify.