plopp — CS2 Stats
SE76561198027851895[U:1:67586167]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 53.0% | 48.1% |
| Shot accuracy | 13.2% | 12.9% |
| Kill/death ratio | 1.18 | 1.08 |
| Match win rate | 52.5% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ropz 91% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: 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. 571ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
| B | 18 | 9–9 | 50% | 0.01 | |
| S | 17 | 12–5 | 71% | 0.02 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| D | 14 | 2–12 | 14% | -0.00 | |
| S | 7 | 6–1 | 86% | 0.04 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 4 | 0–4 | 0% | -0.04 | |
| — | 4 | 0–4 | 0% | -0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (14% over 14). 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 28 | 61% | 1.11 | 15.4 |
| Ancient | 26 | 69% | 1.14 | 18.6 |
| Inferno | 16 | 56% | 1.10 | 16.3 |
| Mirage | 14 | 64% | 1.20 | 17.6 |
| Dust2 | 10 | 30% | 1.01 | 14.8 |
| Train | 10 | 60% | 1.29 | 19.5 |
| Overpass | 8 | 75% | 1.25 | 16.6 |
| Vertigo | 5 | 60% | 1.04 | 14.8 |
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.
14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.06 | 22% | 22 Aug → | ||
| 13–10 | 0.03 | 22% | 12 Aug → | ||
| 12–12 | 0.01 | 24% | 11 Aug → | ||
| 11–13 | -0.02 | 25% | 9 Aug → | ||
| 10–13 | 0.02 | 22% | 9 Aug → | ||
| 13–8 | 0.02 | 33% | 9 Aug → | ||
| 10–13 | -0.01 | 21% | 8 Aug → | ||
| 3–13 | -0.00 | 36% | 8 Aug → | ||
| 9–13 | 0.01 | 29% | 6 Aug → | ||
| 13–2 | 0.13 | 30% | 6 Aug → | ||
| 15–15 | 0.04 | 25% | 6 Aug → | ||
| 13–4 | 0.05 | 15% | 6 Aug → | ||
| 4–13 | -0.00 | 27% | 6 Aug → | ||
| 13–6 | 0.02 | 19% | 6 Aug → | ||
| 13–5 | -0.02 | 30% | 5 Aug → | ||
| 13–10 | -0.01 | 17% | 2 Aug → | ||
| 13–4 | 0.06 | 37% | 2 Aug → | ||
| 10–13 | -0.01 | 17% | 2 Aug → | ||
| 5–13 | 0.06 | 14% | 31 Jul → | ||
| 11–13 | -0.02 | 28% | 31 Jul → | ||
| 3–13 | -0.06 | 40% | 31 Jul → | ||
| 13–4 | 0.01 | 24% | 24 Jul → | ||
| 13–3 | 0.05 | 32% | 24 Jul → | ||
| 3–13 | -0.01 | 29% | 23 Jul → | ||
| 7–13 | -0.00 | 26% | 22 Jul → | ||
| 13–4 | 0.08 | 33% | 22 Jul → | ||
| 9–13 | 0.01 | 31% | 21 Jul → | ||
| 13–10 | 0.02 | 36% | 21 Jul → | ||
| 4–13 | -0.03 | 11% | 20 Jul → | ||
| 2–8 | -0.00 | 24% | 20 Jul → | ||
| 19–16 | 0.07 | 16% | 20 Jul → | ||
| 4–13 | 0.05 | 37% | 20 Jul → | ||
| 4–13 | 0.04 | 38% | 20 Jul → | ||
| 1–13 | -0.06 | 20% | 20 Jul → | ||
| 4–13 | -0.00 | 28% | 20 Jul → | ||
| 13–11 | -0.02 | 24% | 20 Jul → | ||
| 7–13 | 0.06 | 17% | 17 Jul → | ||
| 13–8 | 0.05 | 37% | 16 Jul → | ||
| 13–3 | 0.01 | 50% | 14 Jul → | ||
| 13–11 | -0.00 | 22% | 14 Jul → | ||
| 13–1 | 0.02 | 33% | 14 Jul → | ||
| 13–11 | 0.05 | 47% | 8 Jul → | ||
| 2–13 | -0.08 | 44% | 7 Jul → | ||
| 9–13 | 0.01 | 45% | 7 Jul → | ||
| 8–13 | 0.01 | 45% | 29 Jun → | ||
| 13–10 | -0.01 | 17% | 14 Jun → | ||
| 13–11 | 0.03 | 15% | 14 Jun → | ||
| 4–13 | 0.03 | 32% | 10 Jun → | ||
| 6–13 | 0.07 | 32% | 10 Jun → | ||
| 2–13 | -0.01 | 18% | 9 Jun → | ||
| 3–13 | -0.04 | 27% | 27 May → | ||
| 13–10 | 0.08 | 35% | 21 May → | ||
| 13–4 | 0.01 | 35% | 14 May → | ||
| 13–7 | 0.00 | 29% | 14 May → | ||
| 13–6 | -0.02 | 47% | 14 May → | ||
| 7–13 | -0.02 | 30% | 11 May → | ||
| 13–10 | 0.04 | 28% | 7 May → | ||
| 10–13 | 0.05 | 52% | 29 Apr → | ||
| 13–6 | -0.04 | 47% | 28 Apr → | ||
| 13–5 | 0.07 | 27% | 27 Apr → | ||
| 10–13 | 0.02 | 17% | 27 Apr → | ||
| 13–7 | 0.04 | 34% | 21 Apr → | ||
| 13–7 | 0.06 | 24% | 21 Apr → | ||
| 10–13 | 0.02 | 58% | 20 Apr → | ||
| 3–13 | -0.06 | 41% | 12 Apr → | ||
| 14–16 | 0.02 | 32% | 30 Mar → | ||
| 13–9 | 0.01 | 26% | 30 Mar → | ||
| 13–11 | 0.03 | 10% | 30 Mar → | ||
| 8–13 | 0.01 | 39% | 29 Mar → | ||
| 5–13 | -0.01 | 30% | 29 Mar → | ||
| 7–13 | -0.04 | 24% | 25 Mar → | ||
| 13–8 | 0.07 | 36% | 24 Mar → | ||
| 4–13 | 0.01 | 40% | 24 Mar → | ||
| 13–3 | 0.05 | 18% | 19 Mar → | ||
| 12–16 | 0.05 | 36% | 19 Mar → | ||
| 11–13 | -0.03 | 28% | 17 Mar → | ||
| 13–8 | 0.05 | 33% | 13 Mar → | ||
| 13–3 | 0.06 | 27% | 13 Mar → | ||
| 13–3 | -0.02 | 16% | 11 Mar → | ||
| 4–13 | 0.02 | 35% | 11 Mar → | ||
| 2–13 | -0.03 | 16% | 10 Mar → | ||
| 13–3 | 0.11 | 35% | 10 Mar → | ||
| 13–8 | 0.01 | 47% | 9 Mar → | ||
| 13–2 | -0.04 | 27% | 9 Mar → | ||
| 5–13 | -0.02 | 42% | 9 Mar → | ||
| 6–13 | 0.02 | 38% | 9 Mar → | ||
| 0–4 | -0.10 | 0% | 27 Feb → | ||
| 8–13 | -0.00 | 35% | 25 Feb → | ||
| 7–13 | -0.04 | 24% | 25 Feb → | ||
| 4–13 | 0.01 | 42% | 25 Feb → | ||
| 13–8 | 0.06 | 38% | 25 Feb → | ||
| 5–13 | -0.03 | 32% | 25 Feb → | ||
| 10–13 | -0.04 | 15% | 24 Feb → | ||
| 3–13 | -0.05 | 40% | 24 Feb → | ||
| 8–13 | 0.00 | 47% | 22 Feb → | ||
| 16–13 | 0.04 | 26% | 22 Feb → | ||
| 13–9 | 0.03 | 28% | 18 Feb → | ||
| 10–13 | -0.04 | 29% | 18 Feb → | ||
| 13–9 | 0.04 | 30% | 18 Feb → | ||
| 16–13 | 0.03 | 56% | 17 Feb → |
Match data via Leetify.