PalmBeachPete

PalmBeachPete — CS2 Stats

76561198030215866[U:1:69950138]Steam profile ↗✓ No bans

659Tracked matches60%Win rate2021Tracked since
CSDB Rating6.8 SolidSupport
Premier CS Rating20,100Top 50% of 213,211 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#82263 of 259892 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,100 +3,650 11 Sept – 28 Oct · 22 days played
15,70320,100peak 20,10011 Sept28 Oct
20,100Peak Premier in tracked matches
23Days played since 2026-09-11

Premier CS Rating

  • At peak — 20,100
  • +3,307 over 30 days · improving
  • Next: Red band at 25,000 — 4,900 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGPalmBeachPetePREMIER20,100 · Pink bandcsdb.gg/stats

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Performance scores

Aim72
Positioning62
Utility66

0–100 skill scores via Leetify.

Recent form

HOT57–42–1Last 10057%Win rateWWLWWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −5.9pp headshot accuracy · +25ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 544ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 585ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 573ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim7.2
Utility6.6
Positioning6.2
Opening Duels2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

b1t

Plays most like b1t 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 577ms 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

Aim7.2
Positioning6.2
Utility6.6
Mechanics7.3
Opening Duels3.5
Win Impact8.3

Composite 6.8/10 (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

Match rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time592ms+8ms
first ⅓ avg 584ms → last ⅓ avg 592ms
Headshot accuracy20.5%+1.0%
first ⅓ avg 19.5% → last ⅓ avg 20.5%

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.

Personal bests

0.12Best match rating · 13–3 · dust2, 23 Oct →
36%Best headshot accuracy · 13–11 · dust2, 12 Oct →
422msFastest reaction time · 13–10 · inferno, 28 Sept →
13–0Biggest win · nuke, 25 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
7–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 18mirageWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2113–862%0.02
ancientA1810–856%-0.01
infernoS1812–667%0.01
anubisB137–654%0.00
mirageC125–742%0.00
cacheA106–460%0.00
nukeB84–450%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

257Matches
53%Win rate
1.21Avg K/D
—ADR
49%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

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.

20.6%Headshot accuracy
35.3%Accuracy (enemy spotted)
30.1%Spray accuracy
82.8%Counter-strafing
9.8°Preaim
577msReaction time
45.1%T opening success
43.2%CT opening success
0.54Enemies flashed / flash
10.6%Flash assists
10.06HE damage / grenade
9.19Flashes / match

Recommended for you

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–110.0114%28 Oct →
ancient13–60.1014%28 Oct →
cache8–13-0.0124%28 Oct →
mirage13–10-0.0024%28 Oct →
cache13–3-0.0319%28 Oct →
inferno13–40.1115%23 Oct →
dust213–30.1217%23 Oct →
nuke13–80.0419%23 Oct →
anubis11–0-0.000%23 Oct →
ancient13–11-0.0222%23 Oct →
dust213–10-0.0120%23 Oct →
inferno13–100.1131%23 Oct →
ancient10–13-0.0212%23 Oct →
mirage13–16-0.0217%21 Oct →
nuke10–13-0.0322%21 Oct →
cache13–110.0125%21 Oct →
anubis13–40.0214%21 Oct →
ancient4–13-0.0635%21 Oct →
dust213–80.0532%21 Oct →
cache13–20.0620%19 Oct →
cache13–3-0.0319%19 Oct →
inferno7–130.0126%19 Oct →
mirage6–13-0.0814%19 Oct →
anubis13–70.0725%19 Oct →
cache6–13-0.0017%19 Oct →
mirage13–30.0234%19 Oct →
dust29–130.0323%17 Oct →
anubis14–16-0.0224%17 Oct →
anubis10–13-0.0315%17 Oct →
ancient13–16-0.0418%17 Oct →
inferno13–70.0212%17 Oct →
ancient13–70.0136%17 Oct →
dust213–60.0518%16 Oct →
nuke3–13-0.118%16 Oct →
mirage16–120.0015%16 Oct →
ancient13–90.0218%16 Oct →
nuke13–30.0518%16 Oct →
mirage5–130.0418%16 Oct →
ancient13–5-0.085%16 Oct →
cache4–130.0017%14 Oct →
inferno13–9-0.0317%13 Oct →
mirage13–90.0818%13 Oct →
ancient13–6-0.0020%13 Oct →
dust213–110.0336%12 Oct →
mirage11–13-0.0119%12 Oct →
anubis8–13-0.0216%12 Oct →
nuke13–60.0321%12 Oct →
nuke8–13-0.0122%9 Oct →
ancient4–13-0.0225%9 Oct →
dust213–10-0.0128%9 Oct →
cache13–10.1024%9 Oct →
anubis7–130.0527%9 Oct →
dust25–130.0227%8 Oct →
nuke7–13-0.0124%8 Oct →
inferno13–60.0122%2 Oct →
cache13–70.0117%2 Oct →
anubis13–10-0.0717%2 Oct →
inferno14–16-0.0226%30 Sept →
inferno7–13-0.0416%30 Sept →
ancient13–70.0617%30 Sept →
inferno13–10-0.0218%28 Sept →
dust213–9-0.0218%28 Sept →
ancient13–100.0222%28 Sept →
mirage11–130.0131%26 Sept →
anubis13–100.0811%25 Sept →
dust211–13-0.0414%25 Sept →
nuke13–00.0224%25 Sept →
cache1–13-0.1025%25 Sept →
dust26–13-0.0420%25 Sept →
ancient13–7-0.0121%25 Sept →
mirage8–130.0433%25 Sept →
inferno6–13-0.0312%25 Sept →
inferno11–13-0.0416%23 Sept →
mirage16–13-0.0432%23 Sept →
ancient9–13-0.0222%23 Sept →
dust213–9-0.0010%23 Sept →
dust213–110.0622%22 Sept →
ancient11–13-0.0121%22 Sept →
dust210–13-0.0320%22 Sept →
inferno13–4-0.0321%22 Sept →
anubis13–4-0.0231%21 Sept →
mirage6–130.0115%21 Sept →
dust216–140.0218%21 Sept →
inferno13–11-0.058%21 Sept →
anubis9–13-0.0129%21 Sept →
ancient13–8-0.0710%21 Sept →
anubis15–150.0014%17 Sept →
ancient4–13-0.0413%17 Sept →
inferno13–80.0324%17 Sept →
dust29–130.0522%17 Sept →
dust213–100.0229%15 Sept →
inferno8–130.0110%15 Sept →
ancient5–130.0421%15 Sept →
dust211–13-0.0012%15 Sept →
inferno13–5-0.0117%15 Sept →
inferno13–80.0026%14 Sept →
dust213–60.1020%14 Sept →
dust210–13-0.0517%11 Sept →
inferno13–50.1113%11 Sept →
dust213–4-0.0221%11 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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