Palm Beach Pete — CS2 Stats
MK76561198115988542[U:1:155722814]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashesReliable in 1v1s
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 89% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 66% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 601ms 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 6.0/10 (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 |
|---|---|---|---|---|---|
| S | 28 | 19–9 | 68% | 0.04 | |
| S | 23 | 15–8 | 65% | 0.02 | |
| C | 22 | 9–13 | 41% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.06 | |
| D | 6 | 1–5 | 17% | -0.02 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.06 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| office | — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 0% | 0.83 | 11.5 |
| Ancient | 3 | 33% | 0.56 | 10.3 |
| Dust2 | 1 | 0% | 1.06 | 19.0 |
| Inferno | 1 | 100% | 1.29 | 18.0 |
| Overpass | 1 | 0% | 0.69 | 9.0 |
| Nuke | 1 | 100% | 1.25 | 20.0 |
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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.07 | 32% | 4 Aug → | ||
| 13–9 | -0.04 | 7% | 3 Aug → | ||
| 13–11 | 0.00 | 24% | 2 Aug → | ||
| 5–13 | -0.05 | 7% | 1 Aug → | ||
| 13–3 | 0.07 | 18% | 30 Jul → | ||
| 10–13 | 0.02 | 18% | 29 Jul → | ||
| 13–11 | -0.01 | 16% | 29 Jul → | ||
| 4–13 | -0.01 | 13% | 27 Jul → | ||
| 11–13 | -0.02 | 17% | 26 Jul → | ||
| 2–13 | -0.04 | 17% | 26 Jul → | ||
| 13–11 | -0.02 | 6% | 26 Jul → | ||
| 13–11 | 0.03 | 10% | 25 Jul → | ||
| 13–6 | 0.03 | 18% | 24 Jul → | ||
| 13–9 | 0.05 | 13% | 24 Jul → | ||
| 13–10 | 0.06 | 21% | 23 Jul → | ||
| 13–9 | 0.03 | 15% | 23 Jul → | ||
| 9–0 | 0.06 | 5% | 19 Jul → | ||
| 9–13 | 0.02 | 17% | 19 Jul → | ||
| 15–15 | 0.01 | 17% | 18 Jul → | ||
| 13–10 | 0.11 | 18% | 18 Jul → | ||
| 15–15 | 0.06 | 14% | 17 Jul → | ||
| 10–13 | 0.04 | 19% | 16 Jul → | ||
| 10–13 | 0.01 | 11% | 15 Jul → | ||
| 10–13 | -0.04 | 11% | 15 Jul → | ||
| 13–7 | 0.10 | 29% | 14 Jul → | ||
| 13–6 | 0.10 | 5% | 13 Jul → | ||
| 11–13 | -0.04 | 16% | 11 Jul → | ||
| 7–13 | -0.02 | 18% | 10 Jul → | ||
| 10–13 | 0.01 | 13% | 9 Jul → | ||
| 9–13 | 0.06 | 17% | 7 Jul → | ||
| 13–4 | 0.05 | 8% | 6 Jul → | ||
| 13–9 | 0.00 | 4% | 3 Jul → | ||
| 3–13 | -0.07 | 7% | 13 Apr → | ||
| 9–13 | 0.02 | 12% | 11 Apr → | ||
| 13–11 | 0.07 | 14% | 8 Apr → | ||
| 9–6 | 0.08 | 10% | 7 Apr → | ||
| 1–9 | -0.17 | 14% | 7 Apr → | ||
| 5–9 | -0.05 | 5% | 7 Apr → | ||
| 13–10 | -0.00 | 13% | 6 Apr → | ||
| 13–3 | 0.07 | 14% | 3 Apr → | ||
| 6–13 | 0.00 | 20% | 2 Apr → | ||
| 12–16 | 0.01 | 21% | 31 Mar → | ||
| 10–13 | -0.03 | 17% | 31 Mar → | ||
| 11–13 | 0.05 | 8% | 30 Mar → | ||
| 13–10 | -0.01 | 8% | 30 Mar → | ||
| 9–13 | 0.04 | 10% | 30 Mar → | ||
| 11–13 | 0.08 | 9% | 28 Mar → | ||
| 13–6 | 0.12 | 15% | 28 Mar → | ||
| 13–11 | -0.00 | 10% | 27 Mar → | ||
| 13–5 | 0.14 | 19% | 27 Mar → | ||
| 13–2 | 0.06 | 27% | 27 Mar → | ||
| 7–13 | 0.02 | 19% | 25 Mar → | ||
| 6–13 | 0.10 | 12% | 25 Mar → | ||
| 13–8 | 0.03 | 9% | 24 Mar → | ||
| 12–12 | 0.03 | 12% | 24 Mar → | ||
| 13–8 | 0.03 | 12% | 24 Mar → | ||
| 13–11 | 0.04 | 12% | 23 Mar → | ||
| 13–11 | -0.01 | 14% | 23 Mar → | ||
| 4–13 | -0.00 | 7% | 22 Mar → | ||
| 13–10 | -0.02 | 11% | 22 Mar → | ||
| 13–6 | 0.04 | 11% | 21 Mar → | ||
| 13–6 | -0.09 | 15% | 21 Mar → | ||
| 13–11 | 0.03 | 10% | 20 Mar → | ||
| 13–6 | 0.01 | 37% | 20 Mar → | ||
| 13–11 | 0.06 | 7% | 20 Mar → | ||
| 2–5 | -0.07 | 19% | 20 Mar → | ||
| 13–8 | 0.06 | 21% | 19 Mar → | ||
| 13–2 | 0.07 | 27% | 19 Mar → | ||
| 13–5 | 0.05 | 16% | 19 Mar → | ||
| 13–3 | 0.07 | 3% | 19 Mar → | ||
| 13–11 | 0.08 | 20% | 18 Mar → | ||
| 0–5 | 0.02 | 11% | 18 Mar → | ||
| 11–13 | -0.01 | 11% | 18 Mar → | ||
| 6–13 | 0.07 | 13% | 18 Mar → | ||
| 6–13 | 0.01 | 3% | 18 Mar → | ||
| 13–8 | 0.03 | 11% | 17 Mar → | ||
| 13–3 | 0.07 | 17% | 16 Mar → | ||
| 4–13 | -0.05 | 23% | 12 Mar → | ||
| 13–10 | 0.07 | 16% | 12 Mar → | ||
| 12–12 | 0.02 | 7% | 11 Mar → | ||
| office | 13–5 | -0.05 | 18% | 11 Mar → | |
| 13–7 | -0.01 | 20% | 10 Mar → | ||
| 13–8 | -0.04 | 15% | 10 Mar → | ||
| 13–10 | -0.04 | 14% | 10 Mar → | ||
| 13–8 | 0.02 | 10% | 6 Mar → | ||
| 10–13 | -0.08 | 10% | 5 Mar → | ||
| 13–10 | -0.00 | 14% | 5 Mar → | ||
| 3–13 | -0.05 | 10% | 4 Mar → | ||
| 6–13 | 0.09 | 23% | 3 Mar → | ||
| 13–1 | 0.28 | 5% | 3 Mar → | ||
| 11–13 | -0.00 | 13% | 2 Mar → | ||
| 11–13 | 0.01 | 8% | 2 Mar → | ||
| 13–7 | 0.01 | 19% | 1 Mar → | ||
| 13–7 | 0.01 | 27% | 1 Mar → | ||
| 13–8 | -0.01 | 16% | 26 Feb → | ||
| 13–9 | 0.04 | 17% | 23 Feb → | ||
| 13–5 | 0.05 | 16% | 23 Feb → | ||
| 10–13 | 0.05 | 18% | 22 Feb → | ||
| 13–5 | 0.15 | 7% | 22 Feb → | ||
| 13–7 | 0.03 | 14% | 21 Feb → |
Match data via Leetify.