shitass — CS2 Stats
76561199097786236[U:1:1137520508]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited utility dependence
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 71% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower opening-fight frequency; 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 37% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
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 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| office | B | 64 | 33–31 | 52% | -0.01 |
| D | 18 | 6–12 | 33% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.04 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.00 | |
| boulder | — | 2 | 1–1 | 50% | 0.07 |
| — | 1 | 0–1 | 0% | -0.08 | |
| — | 1 | 0–1 | 0% | 0.04 | |
| — | 1 | 1–0 | 100% | -0.02 | |
| shelter | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1 | 0% | 0.87 | 13.0 |
| Inferno | 1 | 100% | 1.73 | 26.0 |
| Dust2 | 1 | 0% | 0.43 | 6.0 |
| Mirage | 1 | 0% | 0.94 | 17.0 |
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.
- 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 0.2166 — 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 20.2358% — 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 | |
|---|---|---|---|---|---|
| office | 6–13 | -0.11 | 9% | 28 Aug → | |
| office | 8–13 | -0.04 | 0% | 28 Aug → | |
| office | 13–9 | 0.04 | 6% | 28 Aug → | |
| office | 13–8 | -0.02 | 11% | 28 Aug → | |
| office | 13–8 | -0.02 | 11% | 28 Aug → | |
| 7–13 | -0.08 | 9% | 20 Aug → | ||
| 13–4 | -0.05 | 8% | 20 Aug → | ||
| 10–13 | 0.04 | 30% | 20 Aug → | ||
| office | 11–13 | -0.00 | 14% | 20 Aug → | |
| office | 13–9 | -0.00 | 14% | 19 Aug → | |
| office | 10–13 | 0.05 | 14% | 17 Aug → | |
| office | 9–13 | -0.01 | 11% | 17 Aug → | |
| office | 13–10 | -0.06 | 0% | 17 Aug → | |
| office | 13–9 | -0.02 | 27% | 17 Aug → | |
| 13–11 | -0.02 | 22% | 12 Aug → | ||
| 4–13 | 0.04 | 22% | 11 Aug → | ||
| office | 11–13 | -0.04 | 36% | 11 Aug → | |
| office | 13–2 | 0.09 | 20% | 11 Aug → | |
| 8–13 | -0.08 | 21% | 3 Aug → | ||
| office | 10–7 | -0.06 | 18% | 3 Aug → | |
| 13–1 | 0.07 | 13% | 3 Aug → | ||
| office | 6–13 | 0.02 | 21% | 29 Jul → | |
| 7–13 | -0.02 | 2% | 25 Jul → | ||
| office | 9–13 | 0.03 | 25% | 25 Jul → | |
| 11–13 | -0.04 | 17% | 25 Jul → | ||
| office | 13–6 | -0.08 | 0% | 21 Jul → | |
| office | 12–12 | 0.05 | 8% | 21 Jul → | |
| office | 13–11 | -0.05 | 11% | 21 Jul → | |
| office | 5–13 | -0.00 | 20% | 21 Jul → | |
| office | 13–10 | 0.02 | 31% | 20 Jul → | |
| office | 13–6 | 0.00 | 11% | 19 Jul → | |
| 4–13 | -0.09 | 13% | 19 Jul → | ||
| boulder | 3–8 | 0.11 | 9% | 18 Jul → | |
| boulder | 13–1 | 0.03 | 14% | 18 Jul → | |
| 13–10 | 0.03 | 16% | 18 Jul → | ||
| 12–12 | -0.01 | 13% | 18 Jul → | ||
| office | 13–6 | 0.08 | 10% | 18 Jul → | |
| office | 7–13 | -0.02 | 36% | 17 Jul → | |
| shelter | 8–13 | 0.00 | 19% | 16 Jul → | |
| office | 7–13 | -0.01 | 13% | 1 Jul → | |
| office | 13–9 | 0.02 | 8% | 29 Jun → | |
| 11–13 | -0.01 | 8% | 28 Jun → | ||
| 4–13 | -0.03 | 13% | 26 Jun → | ||
| office | 10–13 | 0.02 | 11% | 26 Jun → | |
| office | 13–11 | -0.04 | 13% | 26 Jun → | |
| 9–13 | -0.05 | 3% | 26 Jun → | ||
| office | 3–13 | -0.09 | 0% | 26 Jun → | |
| office | 13–3 | 0.11 | 15% | 26 Jun → | |
| 7–13 | -0.11 | 15% | 25 Jun → | ||
| 13–8 | 0.07 | 10% | 25 Jun → | ||
| office | 11–13 | 0.06 | 13% | 25 Jun → | |
| office | 13–8 | 0.05 | 6% | 24 Jun → | |
| 4–13 | 0.02 | 7% | 24 Jun → | ||
| 13–6 | -0.03 | 7% | 24 Jun → | ||
| office | 11–13 | 0.04 | 20% | 23 Jun → | |
| office | 13–11 | -0.04 | 13% | 19 Jun → | |
| 11–13 | 0.00 | 15% | 19 Jun → | ||
| 12–12 | -0.04 | 8% | 14 Jun → | ||
| office | 6–13 | -0.07 | 15% | 14 Jun → | |
| office | 13–9 | -0.01 | 14% | 14 Jun → | |
| 13–11 | -0.04 | 7% | 13 Jun → | ||
| office | 9–13 | -0.04 | 33% | 13 Jun → | |
| office | 5–13 | -0.09 | 25% | 11 Jun → | |
| office | 12–12 | -0.01 | 17% | 11 Jun → | |
| office | 13–10 | 0.02 | 25% | 10 Jun → | |
| 9–13 | -0.01 | 7% | 9 Jun → | ||
| office | 13–8 | -0.02 | 7% | 9 Jun → | |
| 13–4 | 0.01 | 5% | 9 Jun → | ||
| office | 13–9 | -0.02 | 29% | 8 Jun → | |
| 13–7 | -0.06 | 14% | 8 Jun → | ||
| office | 7–13 | -0.08 | 0% | 7 Jun → | |
| office | 11–13 | 0.05 | 13% | 6 Jun → | |
| office | 13–6 | -0.05 | 15% | 5 Jun → | |
| office | 13–11 | -0.02 | 0% | 4 Jun → | |
| office | 13–10 | 0.03 | 10% | 3 Jun → | |
| office | 13–2 | -0.04 | 9% | 2 Jun → | |
| 8–13 | -0.04 | 15% | 1 Jun → | ||
| office | 12–12 | -0.01 | 5% | 1 Jun → | |
| office | 13–9 | 0.10 | 20% | 1 Jun → | |
| office | 11–13 | -0.09 | 11% | 30 May → | |
| office | 2–13 | -0.03 | 18% | 29 May → | |
| office | 9–13 | -0.07 | 14% | 29 May → | |
| office | 13–4 | 0.01 | 13% | 28 May → | |
| 6–13 | -0.01 | 15% | 25 May → | ||
| office | 13–6 | -0.01 | 0% | 25 May → | |
| office | 13–11 | -0.04 | 30% | 25 May → | |
| office | 13–5 | 0.00 | 19% | 24 May → | |
| office | 9–13 | 0.02 | 27% | 22 May → | |
| 3–13 | -0.06 | 9% | 22 May → | ||
| office | 9–11 | -0.00 | 11% | 22 May → | |
| office | 12–12 | 0.03 | 25% | 22 May → | |
| office | 10–13 | 0.01 | 9% | 14 May → | |
| 13–9 | 0.04 | 18% | 13 May → | ||
| 7–2 | 0.03 | 5% | 13 May → | ||
| office | 6–13 | 0.03 | 8% | 13 May → | |
| office | 13–4 | -0.01 | 20% | 13 May → | |
| 7–13 | 0.00 | 10% | 6 May → | ||
| 1–9 | -0.05 | 11% | 4 May → | ||
| 13–5 | 0.08 | 11% | 4 May → | ||
| office | 10–13 | -0.05 | 12% | 3 May → |
Match data via Leetify.