☐SSA — CS2 Stats
76561199238389497[U:1:1278123769]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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: opening-fight frequency, opening-duel success.
Where you differ: lower positioning 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
Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.
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 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 592ms 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 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 30 | 18–12 | 60% | 0.05 | |
| A | 19 | 11–8 | 58% | 0.03 | |
| B | 17 | 9–8 | 53% | 0.08 | |
| B | 13 | 6–7 | 46% | 0.01 | |
| A | 10 | 6–4 | 60% | 0.14 | |
| D | 5 | 1–4 | 20% | 0.04 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| eldorado | — | 2 | 0–2 | 0% | 0.03 |
| office | — | 1 | 0–1 | 0% | -0.02 |
| — | 1 | 1–0 | 100% | 0.12 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 18 | 56% | 0.83 | 12.7 |
| Dust2 | 13 | 46% | 1.09 | 14.8 |
| Ancient | 11 | 64% | 1.28 | 16.9 |
| Inferno | 5 | 20% | 0.78 | 14.0 |
| Train | 1 | 0% | 0.44 | 8.0 |
| Nuke | 1 | 0% | 0.79 | 11.0 |
| Anubis | 1 | 100% | 0.96 | 23.0 |
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 13.8744% — 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 0.4249 — below the 0.5 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 25.6879% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | -0.03 | 14% | 27 Aug → | ||
| 7–13 | -0.04 | 11% | 26 Aug → | ||
| 12–12 | 0.01 | 14% | 26 Aug → | ||
| 12–12 | -0.04 | 13% | 25 Aug → | ||
| 8–13 | -0.01 | 10% | 24 Aug → | ||
| 13–5 | -0.05 | 8% | 24 Aug → | ||
| 9–5 | 0.10 | 9% | 21 Aug → | ||
| 13–9 | 0.03 | 16% | 21 Aug → | ||
| 5–13 | 0.02 | 21% | 19 Aug → | ||
| 12–12 | 0.09 | 7% | 15 Aug → | ||
| 13–2 | -0.02 | 36% | 13 Aug → | ||
| 12–4 | 0.02 | 17% | 13 Aug → | ||
| 11–13 | 0.02 | 6% | 12 Aug → | ||
| 9–13 | 0.05 | 13% | 12 Aug → | ||
| 13–6 | 0.05 | 19% | 11 Aug → | ||
| 4–13 | 0.03 | 12% | 10 Aug → | ||
| 13–2 | 0.12 | 9% | 10 Aug → | ||
| 2–9 | -0.14 | 24% | 10 Aug → | ||
| 8–8 | -0.00 | 13% | 8 Aug → | ||
| 9–6 | 0.05 | 9% | 8 Aug → | ||
| 9–4 | 0.04 | 13% | 8 Aug → | ||
| 9–0 | 0.26 | 22% | 8 Aug → | ||
| 9–0 | 0.22 | 3% | 8 Aug → | ||
| 13–7 | 0.04 | 17% | 7 Aug → | ||
| 8–8 | 0.09 | 14% | 6 Aug → | ||
| 8–8 | -0.07 | 11% | 6 Aug → | ||
| 12–12 | -0.07 | 19% | 6 Aug → | ||
| 13–1 | 0.02 | 22% | 6 Aug → | ||
| 13–2 | 0.05 | 13% | 6 Aug → | ||
| 6–9 | -0.00 | 11% | 5 Aug → | ||
| 13–7 | -0.04 | 8% | 5 Aug → | ||
| 13–6 | 0.05 | 11% | 5 Aug → | ||
| 13–6 | 0.03 | 7% | 4 Aug → | ||
| 13–2 | 0.19 | 19% | 4 Aug → | ||
| 8–8 | 0.05 | 17% | 3 Aug → | ||
| 13–7 | 0.00 | 29% | 3 Aug → | ||
| 12–12 | -0.03 | 17% | 3 Aug → | ||
| 1–9 | -0.05 | 17% | 3 Aug → | ||
| 9–0 | 0.25 | 13% | 3 Aug → | ||
| 9–5 | -0.00 | 11% | 3 Aug → | ||
| 9–3 | 0.11 | 11% | 3 Aug → | ||
| 9–3 | 0.25 | 26% | 3 Aug → | ||
| 9–3 | 0.15 | 10% | 3 Aug → | ||
| 8–8 | 0.05 | 10% | 3 Aug → | ||
| 9–5 | 0.28 | 25% | 3 Aug → | ||
| 8–8 | 0.04 | 17% | 3 Aug → | ||
| 9–2 | 0.24 | 6% | 3 Aug → | ||
| 8–8 | -0.01 | 11% | 3 Aug → | ||
| 9–0 | 0.40 | 15% | 3 Aug → | ||
| 4–13 | 0.02 | 10% | 2 Aug → | ||
| 8–13 | -0.02 | 7% | 1 Aug → | ||
| 13–5 | 0.07 | 10% | 1 Aug → | ||
| 13–3 | 0.06 | 13% | 1 Aug → | ||
| 13–5 | 0.08 | 10% | 1 Aug → | ||
| 4–13 | 0.02 | 14% | 30 Jul → | ||
| 8–13 | 0.04 | 9% | 30 Jul → | ||
| 1–10 | 0.01 | 8% | 30 Jul → | ||
| 9–13 | 0.04 | 6% | 29 Jul → | ||
| 13–7 | 0.17 | 8% | 29 Jul → | ||
| 13–9 | 0.01 | 4% | 28 Jul → | ||
| 4–13 | -0.03 | 14% | 28 Jul → | ||
| 11–13 | -0.04 | 13% | 25 Jul → | ||
| 2–0 | 0.06 | 100% | 25 Jul → | ||
| 13–8 | 0.02 | 10% | 19 Jul → | ||
| office | 6–13 | -0.02 | 14% | 17 Jul → | |
| 5–13 | -0.03 | 9% | 17 Jul → | ||
| 13–5 | 0.05 | 13% | 17 Jul → | ||
| 10–13 | 0.07 | 16% | 17 Jul → | ||
| 16–13 | -0.00 | 16% | 16 Jul → | ||
| 9–13 | 0.03 | 12% | 16 Jul → | ||
| 9–2 | -0.01 | 38% | 13 Jul → | ||
| eldorado | 6–9 | -0.05 | 21% | 13 Jul → | |
| eldorado | 8–8 | 0.11 | 9% | 13 Jul → | |
| 13–2 | 0.01 | 14% | 12 Jul → | ||
| 5–12 | 0.11 | 14% | 27 Jun → | ||
| 9–5 | 0.17 | 18% | 27 Jun → | ||
| 13–6 | 0.07 | 11% | 23 Jun → | ||
| 13–9 | 0.09 | 10% | 22 Jun → | ||
| 3–13 | 0.01 | 19% | 21 Jun → | ||
| 11–11 | 0.13 | 18% | 21 Jun → | ||
| 8–8 | 0.03 | 24% | 21 Jun → | ||
| 9–7 | 0.14 | 16% | 21 Jun → | ||
| 4–13 | 0.17 | 22% | 18 Jun → | ||
| 13–9 | 0.20 | 16% | 18 Jun → | ||
| 5–9 | -0.05 | 8% | 18 Jun → | ||
| 9–3 | 0.24 | 17% | 18 Jun → | ||
| 13–5 | 0.12 | 13% | 15 Jun → | ||
| 13–2 | 0.14 | 13% | 15 Jun → | ||
| 0–5 | -0.02 | 14% | 12 Jun → | ||
| 7–9 | 0.05 | 16% | 12 Jun → | ||
| 9–13 | 0.00 | 14% | 7 Jun → | ||
| 7–13 | 0.14 | 12% | 7 Jun → | ||
| 9–0 | 0.26 | 23% | 7 Jun → | ||
| 9–7 | 0.00 | 28% | 7 Jun → | ||
| 9–6 | 0.02 | 16% | 7 Jun → | ||
| 9–6 | 0.12 | 16% | 7 Jun → | ||
| 8–5 | -0.01 | 14% | 5 Jun → | ||
| 3–13 | -0.06 | 13% | 4 Jun → | ||
| 13–4 | 0.16 | 13% | 4 Jun → | ||
| 2–9 | -0.12 | 15% | 31 May → |
Match data via Leetify.