joopsy — CS2 Stats
US76561198119123266[U:1:158857538]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 54.9% | 52.8% |
| Shot accuracy | 19.7% | 13.7% |
| Kill/death ratio | 1.07 | 1.08 |
| Match win rate | 45.6% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerEffective flashes
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 sh1ro 96% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 58% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 612ms 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 7.6/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 35 | 19–16 | 54% | 0.03 | |
| S | 18 | 12–6 | 67% | 0.05 | |
| S | 12 | 8–4 | 67% | 0.02 | |
| D | 8 | 1–7 | 13% | -0.01 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| S | 6 | 5–1 | 83% | 0.08 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| office | — | 2 | 1–1 | 50% | 0.08 |
| — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (13% over 8). 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 100% | 1.54 | 15.5 |
| Ancient | 1 | 100% | 0.65 | 11.0 |
| Vertigo | 1 | 0% | 1.07 | 16.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.04 | 25% | 23 Aug → | ||
| 5–13 | -0.00 | 26% | 23 Aug → | ||
| 13–10 | 0.02 | 44% | 12 Aug → | ||
| 11–13 | -0.04 | 33% | 11 Aug → | ||
| 13–5 | 0.20 | 65% | 11 Aug → | ||
| 8–13 | 0.01 | 24% | 10 Aug → | ||
| 13–3 | 0.06 | 30% | 10 Aug → | ||
| 13–10 | 0.02 | 36% | 9 Aug → | ||
| 13–3 | 0.09 | 40% | 9 Aug → | ||
| 13–3 | 0.14 | 29% | 6 Aug → | ||
| 7–13 | -0.04 | 24% | 5 Aug → | ||
| 13–11 | 0.04 | 23% | 1 Aug → | ||
| 10–1 | 0.08 | 31% | 26 Jul → | ||
| 13–5 | 0.09 | 32% | 24 Jun → | ||
| 7–13 | 0.06 | 40% | 24 Jun → | ||
| 13–3 | 0.07 | 25% | 22 May → | ||
| 6–13 | -0.03 | 24% | 21 May → | ||
| 10–2 | 0.06 | 31% | 20 May → | ||
| 7–13 | 0.07 | 27% | 6 May → | ||
| 13–5 | 0.08 | 33% | 4 May → | ||
| 12–12 | 0.07 | 41% | 4 May → | ||
| 13–9 | 0.06 | 29% | 3 May → | ||
| 11–13 | 0.04 | 36% | 16 Feb → | ||
| 5–13 | -0.08 | 48% | 12 Feb → | ||
| 13–5 | 0.12 | 28% | 4 Jan → | ||
| office | 13–7 | 0.04 | 48% | 29 Nov → | |
| 8–13 | 0.01 | 39% | 6 Sept → | ||
| 8–13 | 0.13 | 52% | 26 Aug → | ||
| 13–2 | 0.22 | 47% | 12 Jun → | ||
| 13–2 | -0.01 | 42% | 4 Jun → | ||
| 10–2 | 0.14 | 50% | 22 May → | ||
| 4–13 | 0.07 | 33% | 22 May → | ||
| 12–12 | 0.03 | 22% | 16 May → | ||
| 7–13 | 0.07 | 40% | 13 May → | ||
| 13–7 | 0.06 | 26% | 10 May → | ||
| 13–10 | 0.11 | 26% | 8 May → | ||
| 11–13 | 0.01 | 29% | 5 May → | ||
| 13–11 | 0.07 | 33% | 30 Apr → | ||
| 12–12 | 0.09 | 31% | 28 Apr → | ||
| 13–7 | 0.01 | 35% | 28 Apr → | ||
| 13–4 | 0.00 | 33% | 23 Apr → | ||
| 13–8 | 0.06 | 68% | 22 Apr → | ||
| 7–13 | 0.06 | 33% | 22 Apr → | ||
| 13–2 | 0.05 | 30% | 21 Apr → | ||
| 10–3 | -0.09 | 30% | 21 Apr → | ||
| 13–10 | 0.14 | 40% | 16 Apr → | ||
| office | 9–13 | 0.12 | 40% | 12 Apr → | |
| 13–7 | 0.05 | 25% | 12 Apr → | ||
| 13–4 | 0.11 | 29% | 12 Apr → | ||
| 13–8 | 0.00 | 27% | 12 Apr → | ||
| 13–6 | 0.07 | 28% | 4 Mar → | ||
| 13–8 | 0.15 | 31% | 11 Jan → | ||
| 13–11 | 0.06 | 29% | 7 Jan → | ||
| 13–11 | -0.00 | 30% | 9 Mar → | ||
| 13–1 | 0.01 | 23% | 12 Dec → | ||
| 5–13 | -0.07 | 27% | 21 Sept → | ||
| 4–13 | -0.05 | 20% | 21 Sept → | ||
| 13–9 | 0.09 | 33% | 18 Sept → | ||
| 10–13 | 0.05 | 39% | 9 Sept → | ||
| 9–2 | 0.05 | 19% | 7 Sept → | ||
| 7–16 | -0.01 | 28% | 21 Aug → | ||
| 4–16 | -0.08 | 9% | 15 Aug → | ||
| 19–17 | 0.03 | 19% | 30 Jul → | ||
| 11–16 | -0.00 | 31% | 27 Jul → | ||
| 14–16 | 0.02 | 24% | 26 Jul → | ||
| 14–16 | -0.03 | 25% | 25 Jul → | ||
| 8–16 | -0.04 | 22% | 11 Jun → | ||
| 16–10 | 0.06 | 41% | 10 Jun → | ||
| 5–16 | -0.02 | 24% | 7 Jun → | ||
| 16–14 | -0.02 | 36% | 22 May → | ||
| 9–16 | -0.02 | 21% | 11 May → | ||
| 16–12 | 0.00 | 26% | 8 May → | ||
| 8–16 | -0.02 | 33% | 7 May → | ||
| 14–16 | -0.06 | 31% | 5 May → | ||
| 10–16 | -0.08 | 14% | 2 May → | ||
| 16–13 | -0.00 | 22% | 28 Apr → | ||
| 19–16 | -0.01 | 12% | 27 Apr → | ||
| 13–16 | -0.03 | 18% | 24 Apr → | ||
| 16–12 | -0.01 | 28% | 24 Apr → | ||
| 8–16 | 0.02 | 33% | 24 Apr → | ||
| 16–13 | 0.01 | 31% | 22 Apr → | ||
| 16–9 | -0.01 | 27% | 14 Apr → | ||
| 16–12 | 0.00 | 32% | 11 Apr → | ||
| 16–14 | 0.07 | 27% | 11 Apr → | ||
| 16–10 | 0.07 | 33% | 9 Apr → | ||
| 13–16 | -0.04 | 13% | 9 Apr → | ||
| 16–13 | -0.07 | 32% | 9 Apr → | ||
| 16–12 | -0.02 | 13% | 9 Apr → | ||
| 16–13 | -0.05 | 26% | 7 Apr → | ||
| 8–8 | 0.08 | 30% | 31 Mar → | ||
| 13–16 | -0.02 | 10% | 28 Mar → | ||
| 14–16 | -0.04 | 15% | 28 Mar → | ||
| 8–16 | -0.01 | 13% | 28 Mar → | ||
| 19–15 | -0.07 | 7% | 26 Mar → | ||
| 6–16 | 0.03 | 26% | 26 Mar → | ||
| 16–11 | 0.01 | 16% | 25 Mar → | ||
| 16–19 | -0.00 | 17% | 25 Mar → | ||
| 6–16 | 0.00 | 19% | 25 Mar → | ||
| 16–12 | -0.01 | 29% | 25 Mar → | ||
| 2–9 | -0.06 | 30% | 22 Mar → |
Match data via Leetify.