phrawgpulp — CS2 Stats
76561198020882158[U:1:60616430]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 74% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim 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
Strengths
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 64% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 674ms 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 4.6/10 (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 |
|---|---|---|---|---|---|
 cache | B | 65 | 31–34 | 48% | 0.03 |
 dust2 | B | 17 | 8–9 | 47% | -0.04 |
| palais | D | 6 | 1–5 | 17% | -0.03 |
| office | — | 3 | 0–3 | 0% | -0.07 |
| whistle | — | 3 | 1–2 | 33% | -0.02 |
 inferno | — | 2 | 0–2 | 0% | -0.11 |
 train | — | 1 | 1–0 | 100% | 0.03 |
| dogtown | — | 1 | 0–1 | 0% | -0.12 |
 nuke | — | 1 | 0–1 | 0% | -0.10 |
 vertigo | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
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.
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 0.0419 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–11 | 0.14 | 28% | 29 Aug → | |
| cache | 9–13 | -0.03 | 25% | 25 Aug → | |
| dust2 | 2–13 | -0.12 | 13% | 25 Aug → | |
| cache | 13–3 | 0.08 | 36% | 25 Aug → | |
| cache | 13–10 | 0.02 | 21% | 25 Aug → | |
| cache | 9–13 | 0.07 | 40% | 22 Aug → | |
| dust2 | 13–8 | -0.01 | 26% | 22 Aug → | |
| cache | 8–13 | 0.01 | 28% | 22 Aug → | |
| cache | 5–13 | 0.07 | 17% | 22 Aug → | |
| cache | 13–2 | 0.14 | 21% | 21 Aug → | |
| cache | 13–4 | 0.03 | 20% | 20 Aug → | |
| cache | 3–13 | -0.07 | 31% | 13 Aug → | |
| cache | 11–13 | 0.12 | 23% | 12 Aug → | |
| cache | 13–8 | -0.01 | 24% | 12 Aug → | |
| cache | 10–1 | 0.04 | 21% | 12 Aug → | |
| cache | 13–6 | 0.12 | 19% | 12 Aug → | |
| cache | 11–13 | -0.01 | 22% | 12 Aug → | |
| cache | 13–10 | 0.09 | 23% | 12 Aug → | |
| cache | 13–7 | 0.08 | 21% | 12 Aug → | |
| dust2 | 8–13 | -0.04 | 18% | 11 Aug → | |
| dust2 | 13–0 | -0.03 | 31% | 11 Aug → | |
| cache | 12–12 | 0.11 | 26% | 11 Aug → | |
| dust2 | 13–2 | 0.04 | 11% | 10 Aug → | |
| cache | 1–6 | 0.02 | 15% | 10 Aug → | |
| cache | 13–8 | 0.00 | 17% | 10 Aug → | |
| cache | 13–10 | 0.08 | 17% | 10 Aug → | |
| cache | 7–13 | 0.01 | 15% | 10 Aug → | |
| cache | 9–13 | 0.08 | 15% | 8 Aug → | |
| cache | 6–13 | -0.05 | 11% | 8 Aug → | |
| cache | 13–3 | 0.15 | 20% | 8 Aug → | |
| cache | 11–13 | 0.04 | 18% | 7 Aug → | |
| cache | 8–13 | -0.00 | 14% | 6 Aug → | |
| cache | 11–13 | 0.00 | 11% | 6 Aug → | |
| cache | 7–13 | 0.04 | 18% | 6 Aug → | |
| cache | 6–13 | 0.01 | 18% | 6 Aug → | |
| cache | 13–4 | 0.05 | 16% | 5 Aug → | |
| cache | 13–4 | -0.02 | 20% | 5 Aug → | |
| cache | 10–13 | 0.01 | 27% | 4 Aug → | |
| cache | 8–13 | -0.09 | 42% | 20 Jun → | |
| cache | 1–13 | 0.02 | 32% | 24 May → | |
| cache | 12–12 | -0.09 | 31% | 24 May → | |
| cache | 6–13 | -0.01 | 30% | 24 May → | |
| cache | 13–3 | 0.02 | 19% | 4 May → | |
| cache | 13–7 | -0.04 | 18% | 4 May → | |
| cache | 13–5 | 0.02 | 30% | 3 May → | |
| cache | 13–6 | 0.01 | 31% | 3 May → | |
| cache | 0–13 | -0.02 | 6% | 3 May → | |
| cache | 13–7 | 0.09 | 26% | 3 May → | |
| cache | 3–13 | -0.02 | 17% | 3 May → | |
| cache | 12–12 | 0.01 | 24% | 2 May → | |
| cache | 12–12 | 0.04 | 13% | 2 May → | |
| cache | 13–4 | 0.01 | 11% | 2 May → | |
| cache | 5–0 | 0.18 | 40% | 2 May → | |
| cache | 13–6 | 0.01 | 13% | 2 May → | |
| cache | 13–4 | 0.06 | 25% | 2 May → | |
| cache | 12–12 | -0.03 | 15% | 1 May → | |
| cache | 5–13 | 0.07 | 11% | 1 May → | |
| cache | 9–13 | -0.06 | 8% | 1 May → | |
| cache | 10–13 | -0.03 | 26% | 1 May → | |
| cache | 13–1 | 0.10 | 12% | 1 May → | |
| cache | 12–12 | 0.02 | 23% | 1 May → | |
| cache | 12–12 | -0.01 | 16% | 30 Apr → | |
| cache | 13–1 | 0.17 | 18% | 30 Apr → | |
| cache | 13–9 | 0.00 | 13% | 30 Apr → | |
| cache | 2–13 | -0.06 | 17% | 29 Apr → | |
| cache | 13–5 | 0.13 | 15% | 29 Apr → | |
| cache | 13–1 | 0.03 | 20% | 29 Apr → | |
| cache | 13–8 | 0.05 | 17% | 29 Apr → | |
| cache | 13–5 | 0.04 | 17% | 29 Apr → | |
| cache | 11–13 | -0.06 | 11% | 29 Apr → | |
| dust2 | 11–13 | -0.05 | 8% | 12 Feb → | |
| dust2 | 12–12 | -0.01 | 26% | 18 Dec → | |
| dust2 | 13–11 | 0.01 | 11% | 13 Dec → | |
| dust2 | 13–8 | -0.01 | 20% | 13 Dec → | |
| dust2 | 13–5 | -0.05 | 18% | 12 Dec → | |
| dust2 | 6–13 | -0.12 | 10% | 12 Dec → | |
| office | 9–13 | -0.03 | 11% | 5 Dec → | |
| dust2 | 13–8 | -0.04 | 0% | 5 Dec → | |
| dust2 | 7–13 | -0.08 | 7% | 24 May → | |
| dust2 | 9–13 | -0.05 | 11% | 18 May → | |
| inferno | 6–9 | -0.10 | 31% | 14 May → | |
| office | 7–13 | -0.04 | 33% | 11 May → | |
| dust2 | 6–1 | -0.05 | 0% | 11 May → | |
| train | 13–6 | 0.03 | 17% | 11 May → | |
| dust2 | 11–13 | -0.04 | 19% | 11 May → | |
| dogtown | 5–9 | -0.12 | 7% | 11 May → | |
| nuke | 4–9 | -0.10 | 7% | 11 May → | |
| vertigo | 7–9 | -0.06 | 26% | 11 May → | |
| inferno | 1–9 | -0.12 | 0% | 11 May → | |
| palais | 4–9 | -0.06 | 11% | 7 May → | |
| whistle | 3–9 | 0.07 | 0% | 6 May → | |
| whistle | 4–9 | -0.13 | 5% | 6 May → | |
| palais | 7–9 | 0.03 | 19% | 6 May → | |
| office | 4–13 | -0.13 | 6% | 18 Mar → | |
| palais | 3–9 | 0.00 | 0% | 17 Mar → | |
| palais | 2–9 | -0.08 | 7% | 17 Mar → | |
| whistle | 9–7 | -0.01 | 5% | 17 Mar → | |
| palais | 5–9 | -0.05 | 8% | 17 Mar → | |
| palais | 9–4 | -0.01 | 18% | 17 Mar → | |
| dust2 | 6–13 | -0.04 | 13% | 11 Mar → |
Match data via Leetify.