Perry the Platypus

Perry the Platypus — CS2 Stats

76561198817758278[U:1:857492550]Steam profile ↗✓ No bans

233Tracked matches60%Win rate2020Tracked since
CSDB Rating6.5 SolidAll-Rounder
Premier CS Rating14,555Blue band · top ~30.8% of ranked players (population est.)
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 233 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,555 -3,797 11 Jun – 26 Sept · 23 days played
14,55518,377peak 18,37711 Jun26 Sept
18,685Peak Premier in tracked matches
39Days played since 2026-06-11

Premier CS Rating

  • 3,822 below peak (18,377)
  • -1,168 over 30 days · declining
  • -3,822 over 90 days
  • Next: Purple band at 15,000 — 445 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

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

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CSDB.GGPerry the PlatypusPREMIER14,555 · Blue bandcsdb.gg/stats

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Performance scores

Aim82
Positioning59
Utility52

0–100 skill scores via Leetify.

Recent form

HOT47–45–8Last 10047%Win rateWWWWWTTLWW

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating · +2.5pp headshot accuracy · +21ms reaction

Win rate up 40pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 39%
  • Avg reaction 666ms

Last 10

  • 7–1–2 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 36%
  • Avg reaction 653ms

Last 20

  • 10–6–4 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 35%
  • Avg reaction 643ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.2
Utility5.2
Positioning5.9
Opening Duels5.4

Effective flashes

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

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 646ms 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

Aim8.2
Positioning5.9
Utility5.2
Mechanics7.5
Opening Duels4.5
Win Impact8.3

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

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time645ms−26ms
first ⅓ avg 671ms → last ⅓ avg 645ms
Headshot accuracy33.0%+4.1%
first ⅓ avg 28.9% → last ⅓ avg 33.0%

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

0.13Best match rating · 13–3 · cache, 13 Jul →
67%Best headshot accuracy · 0–5 · inferno, 11 Jul →
438msFastest reaction time · 2–13 · inferno, 24 Jul →
13–0Biggest win · mirage, 20 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
8–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 59% over 29infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2917–1259%-0.01
mirageB2513–1252%0.01
cacheC238–1535%0.01
infernoD82–625%-0.02
office—31–233%-0.03
nuke—32–167%-0.01
anubis—30–30%-0.03
ancient—32–167%0.01
train—11–0100%0.04
vertigo—10–10%0.11
alpine—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

32.3%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.8%Spray accuracy
83.6%Counter-strafing
10.0°Preaim
646msReaction time
51.3%T opening success
44.6%CT opening success
0.76Enemies flashed / flash
9.0%Flash assists
8.64HE damage / grenade
10.30Flashes / match

Recommended for you

Spend your practice time on Inferno

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–70.0344%20 Sept →
dust213–60.0330%20 Sept →
dust213–110.0538%8 Sept →
mirage13–6-0.0134%6 Sept →
train13–40.0449%6 Sept →
mirage12–120.0135%5 Sept →
dust212–120.0425%20 Aug →
dust27–13-0.0224%17 Aug →
dust213–3-0.0240%16 Aug →
mirage13–100.0243%8 Aug →
cache11–130.0620%7 Aug →
dust210–13-0.0316%6 Aug →
cache11–13-0.0330%4 Aug →
office10–13-0.0733%3 Aug →
dust212–12-0.0148%3 Aug →
vertigo7–130.1127%1 Aug →
mirage13–50.0338%1 Aug →
dust213–80.0433%1 Aug →
dust212–12-0.0143%31 Jul →
dust213–20.0252%31 Jul →
mirage13–20.0648%31 Jul →
office7–6-0.0540%28 Jul →
cache12–120.0820%28 Jul →
mirage10–130.0436%28 Jul →
mirage13–50.1038%28 Jul →
mirage13–7-0.0214%27 Jul →
inferno2–13-0.0632%24 Jul →
nuke3–13-0.0024%24 Jul →
dust213–11-0.0116%24 Jul →
dust213–9-0.0220%24 Jul →
dust24–13-0.0332%24 Jul →
mirage8–130.0035%21 Jul →
anubis10–13-0.0433%20 Jul →
mirage13–0-0.0120%20 Jul →
dust211–130.0240%20 Jul →
dust29–13-0.0519%19 Jul →
mirage11–130.0133%18 Jul →
cache9–13-0.0220%18 Jul →
nuke13–100.0125%17 Jul →
inferno6–13-0.1026%16 Jul →
mirage13–80.0228%16 Jul →
cache11–13-0.0326%15 Jul →
ancient13–40.1015%15 Jul →
dust216–13-0.0331%14 Jul →
cache11–13-0.0024%14 Jul →
mirage8–13-0.1027%14 Jul →
dust22–13-0.0833%14 Jul →
anubis11–13-0.0214%14 Jul →
nuke13–7-0.0318%14 Jul →
dust213–110.0729%14 Jul →
cache13–90.0120%13 Jul →
cache13–30.1347%13 Jul →
dust21–13-0.0425%13 Jul →
cache10–130.0230%13 Jul →
dust213–9-0.0345%13 Jul →
ancient10–13-0.0431%12 Jul →
mirage15–15-0.0627%11 Jul →
cache13–110.0138%11 Jul →
mirage13–70.0338%11 Jul →
dust20–13-0.0022%11 Jul →
inferno0–5-0.0267%11 Jul →
inferno13–10-0.0129%10 Jul →
mirage10–130.0027%10 Jul →
dust213–5-0.0240%10 Jul →
mirage7–13-0.0321%10 Jul →
dust213–9-0.0427%10 Jul →
mirage16–130.0939%10 Jul →
inferno7–130.0430%10 Jul →
inferno9–130.0050%10 Jul →
cache15–15-0.0328%10 Jul →
cache10–130.0138%10 Jul →
mirage13–11-0.0116%10 Jul →
cache13–2-0.0625%10 Jul →
dust216–12-0.0152%9 Jul →
cache13–110.0438%9 Jul →
mirage5–13-0.0021%9 Jul →
cache13–70.0534%9 Jul →
cache11–13-0.0138%9 Jul →
mirage14–160.0146%9 Jul →
cache9–130.0432%8 Jul →
cache12–12-0.0218%8 Jul →
dust213–80.0133%8 Jul →
dust213–7-0.0329%8 Jul →
cache13–10.0032%8 Jul →
alpine13–11-0.0333%7 Jul →
cache5–13-0.0340%6 Jul →
cache8–13-0.0219%4 Jul →
cache13–9-0.0453%2 Jul →
ancient13–9-0.0423%15 Jun →
inferno16–14-0.0124%15 Jun →
cache7–130.0422%15 Jun →
dust29–13-0.0021%14 Jun →
mirage10–130.0324%12 Jun →
mirage13–5-0.0424%11 Jun →
mirage13–100.0615%11 Jun →
anubis11–13-0.0426%11 Jun →
dust213–5-0.0515%11 Jun →
dust213–100.0615%11 Jun →
inferno9–13-0.0321%11 Jun →
mirage6–130.0119%11 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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