Porple Papa — CS2 Stats
76561198105105237[U:1:144839509]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 51.5% | 42.7% | 44.0% | above |
| Shot accuracy | 4.7% | 10.8% | 11.6% | 6.9% short |
| Kill/death ratio | 1.13 | 1.00 | 1.03 | above |
| Match win rate | 45.1% | 44.1% | 45.1% | meets |
This profile matches the typical Level 5 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 b1t 95% playstyle similarity
Most alike: utility contribution, opening-duel success.
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. 661ms 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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 dust2 | S | 31 | 20–11 | 65% | 0.03 |
 mirage | B | 18 | 9–9 | 50% | 0.02 |
 ancient | B | 13 | 7–6 | 54% | 0.04 |
 nuke | A | 11 | 6–5 | 55% | 0.03 |
 anubis | D | 9 | 3–6 | 33% | 0.04 |
 inferno | D | 6 | 2–4 | 33% | 0.03 |
 overpass | S | 5 | 4–1 | 80% | -0.01 |
 train | C | 5 | 2–3 | 40% | -0.00 |
| poseidon | — | 1 | 1–0 | 100% | 0.17 |
| office | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 50% | 1.48 | 16.7 |
| Dust2 | 13 | 46% | 1.26 | 18.3 |
| Anubis | 2 | 50% | 1.88 | 23.0 |
| Train | 1 | 0% | 0.89 | 17.0 |
| Nuke | 1 | 0% | 0.95 | 18.0 |
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 13.1592% — below the 15% 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 34.5102% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 2–13 | -0.05 | 25% | 19 May → | |
| dust2 | 13–7 | 0.07 | 18% | 19 May → | |
| dust2 | 13–10 | 0.03 | 6% | 23 Feb → | |
| nuke | 5–13 | -0.05 | 16% | 23 Feb → | |
| anubis | 10–13 | 0.05 | 12% | 23 Feb → | |
| nuke | 9–13 | 0.01 | 15% | 21 Feb → | |
| dust2 | 13–9 | 0.04 | 16% | 9 Feb → | |
| ancient | 13–6 | 0.07 | 19% | 8 Feb → | |
| anubis | 13–6 | 0.14 | 13% | 8 Feb → | |
| dust2 | 13–7 | 0.02 | 9% | 8 Feb → | |
| mirage | 13–10 | 0.09 | 13% | 6 Feb → | |
| mirage | 13–7 | 0.02 | 5% | 6 Feb → | |
| mirage | 8–13 | -0.01 | 12% | 2 Feb → | |
| overpass | 13–9 | -0.02 | 10% | 2 Feb → | |
| inferno | 6–13 | 0.02 | 7% | 2 Feb → | |
| mirage | 13–6 | 0.11 | 18% | 2 Feb → | |
| nuke | 13–11 | 0.10 | 11% | 1 Feb → | |
| dust2 | 13–4 | -0.01 | 18% | 1 Feb → | |
| nuke | 16–12 | 0.06 | 18% | 1 Feb → | |
| dust2 | 13–8 | 0.06 | 14% | 31 Jan → | |
| ancient | 9–13 | 0.03 | 13% | 31 Jan → | |
| dust2 | 6–13 | 0.03 | 17% | 31 Jan → | |
| inferno | 16–13 | 0.06 | 15% | 26 Jan → | |
| ancient | 10–13 | -0.00 | 9% | 26 Jan → | |
| dust2 | 13–16 | 0.00 | 11% | 26 Jan → | |
| mirage | 11–13 | 0.04 | 5% | 25 Jan → | |
| dust2 | 8–13 | 0.05 | 8% | 25 Jan → | |
| mirage | 4–13 | -0.06 | 15% | 25 Jan → | |
| mirage | 13–11 | 0.07 | 16% | 25 Jan → | |
| dust2 | 13–4 | 0.05 | 16% | 25 Jan → | |
| overpass | 13–10 | 0.00 | 10% | 25 Jan → | |
| anubis | 0–13 | -0.14 | 9% | 25 Jan → | |
| nuke | 13–8 | 0.07 | 10% | 24 Jan → | |
| ancient | 13–4 | 0.09 | 11% | 24 Jan → | |
| anubis | 13–16 | 0.08 | 9% | 24 Jan → | |
| anubis | 5–13 | -0.06 | 11% | 24 Jan → | |
| dust2 | 11–13 | 0.03 | 15% | 22 Jan → | |
| mirage | 7–13 | -0.01 | 23% | 22 Jan → | |
| dust2 | 11–13 | -0.03 | 19% | 22 Jan → | |
| mirage | 8–13 | 0.01 | 15% | 22 Jan → | |
| poseidon | 9–2 | 0.17 | 7% | 22 Jan → | |
| ancient | 13–1 | 0.06 | 11% | 22 Jan → | |
| office | 12–12 | 0.03 | 19% | 21 Jan → | |
| dust2 | 13–8 | 0.06 | 18% | 20 Jan → | |
| mirage | 13–10 | 0.03 | 15% | 20 Jan → | |
| ancient | 8–13 | 0.04 | 10% | 18 Jan → | |
| train | 13–5 | 0.12 | 16% | 18 Jan → | |
| ancient | 13–10 | 0.12 | 11% | 18 Jan → | |
| dust2 | 6–13 | -0.04 | 24% | 18 Jan → | |
| mirage | 5–13 | -0.04 | 7% | 18 Jan → | |
| nuke | 15–15 | 0.02 | 19% | 18 Jan → | |
| dust2 | 13–4 | 0.14 | 27% | 18 Jan → | |
| overpass | 13–3 | 0.11 | 14% | 16 Jan → | |
| nuke | 13–9 | 0.08 | 10% | 16 Jan → | |
| mirage | 13–10 | 0.01 | 11% | 11 Jan → | |
| dust2 | 4–13 | 0.00 | 6% | 11 Jan → | |
| ancient | 13–6 | 0.03 | 16% | 11 Jan → | |
| dust2 | 13–10 | 0.06 | 12% | 10 Jan → | |
| inferno | 9–13 | 0.01 | 9% | 10 Jan → | |
| anubis | 13–6 | 0.17 | 16% | 10 Jan → | |
| nuke | 13–11 | 0.03 | 15% | 10 Jan → | |
| ancient | 13–9 | 0.09 | 23% | 10 Jan → | |
| dust2 | 13–5 | -0.02 | 11% | 9 Jan → | |
| mirage | 13–11 | 0.03 | 17% | 9 Jan → | |
| inferno | 8–13 | 0.02 | 12% | 9 Jan → | |
| mirage | 13–8 | 0.06 | 14% | 9 Jan → | |
| dust2 | 13–2 | 0.07 | 21% | 8 Jan → | |
| overpass | 10–13 | -0.05 | 5% | 8 Jan → | |
| dust2 | 4–13 | -0.04 | 14% | 8 Jan → | |
| mirage | 13–11 | 0.01 | 15% | 7 Jan → | |
| dust2 | 13–5 | 0.08 | 10% | 7 Jan → | |
| train | 6–13 | -0.02 | 8% | 7 Jan → | |
| inferno | 16–12 | 0.04 | 15% | 7 Jan → | |
| inferno | 5–13 | 0.05 | 9% | 4 Jan → | |
| mirage | 8–13 | 0.04 | 18% | 4 Jan → | |
| overpass | 13–5 | -0.09 | 10% | 4 Jan → | |
| nuke | 11–13 | -0.02 | 23% | 3 Jan → | |
| nuke | 14–16 | -0.02 | 4% | 3 Jan → | |
| dust2 | 13–8 | 0.03 | 13% | 3 Jan → | |
| mirage | 5–13 | -0.05 | 16% | 3 Jan → | |
| dust2 | 13–6 | 0.05 | 15% | 2 Jan → | |
| train | 13–4 | -0.01 | 17% | 2 Jan → | |
| dust2 | 7–13 | -0.03 | 14% | 2 Jan → | |
| nuke | 13–7 | 0.07 | 9% | 2 Jan → | |
| ancient | 13–7 | 0.02 | 16% | 2 Jan → | |
| ancient | 13–16 | 0.01 | 15% | 30 Dec → | |
| dust2 | 13–11 | 0.04 | 12% | 30 Dec → | |
| dust2 | 9–13 | 0.02 | 24% | 30 Dec → | |
| dust2 | 13–5 | 0.09 | 12% | 29 Dec → | |
| ancient | 9–13 | -0.00 | 24% | 22 Dec → | |
| dust2 | 13–6 | 0.07 | 16% | 21 Dec → | |
| ancient | 5–13 | 0.03 | 20% | 21 Dec → | |
| dust2 | 13–9 | 0.09 | 22% | 21 Dec → | |
| dust2 | 3–13 | -0.05 | 14% | 21 Dec → | |
| dust2 | 13–3 | 0.09 | 17% | 27 Apr → | |
| anubis | 13–11 | 0.05 | 11% | 27 Apr → | |
| anubis | 9–13 | 0.03 | 8% | 27 Apr → | |
| train | 6–13 | -0.03 | 5% | 27 Apr → | |
| anubis | 10–13 | -0.01 | 20% | 26 Apr → | |
| train | 10–13 | -0.07 | 14% | 26 Apr → |
Match data via Leetify.
