Platypus

Platypus — CS2 Stats

AR76561198394483808[U:1:434218080]Steam profile ↗✓ No bans

1,038Tracked matches41%Win rate2020Tracked since
CSDB Rating5.0 DevelopingSupport
WingmanSilver III
Ladder ranks via Leetify

Performance scores

Aim52
Positioning41
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY47–41–12Last 10047%Win rateWLTWLLWLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.0pp headshot accuracy · −10ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 697ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 688ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 693ms

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 (+3 against its own average).

Aim5.2
Utility7.0
Positioning4.1
Opening Duels0.9

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

Twistzz

Plays most like Twistzz 65% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 51% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 692ms 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

Aim5.2
Positioning4.1
Utility7.0
Mechanics7.4
Opening Duels2.6
Win Impact1.9

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time677ms−9ms
first ⅓ avg 686ms → last ⅓ avg 677ms
Headshot accuracy21.3%+2.7%
first ⅓ avg 18.6% → last ⅓ avg 21.3%

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 · 13–9 · dust2, 16 Sept →
42%Best headshot accuracy · 7–13 · anubis, 28 Oct →
469msFastest reaction time · 4–13 · mirage, 13 Oct →
13–0Biggest win · inferno, 1 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–4In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 50% over 12dust2Weakest map · 46% over 50
MapGradePlayedRecordWin rateAvg rating
dust2B5023–2746%-0.01
mirageB3416–1847%-0.02
infernoB126–650%0.00
anubis—21–150%0.02
nuke—11–0100%-0.03
cache—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (46% over 50). Start with the 6 essential Dust 2 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.

21.0%Headshot accuracy
28.9%Accuracy (enemy spotted)
31.7%Spray accuracy
83.4%Counter-strafing
10.2°Preaim
692msReaction time
50.7%T opening success
28.1%CT opening success
0.67Enemies flashed / flash
3.0%Flash assists
13.02HE damage / grenade
20.85Flashes / match

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.

  1. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.0952% — below the 40% mark we flag

Spend your practice time on Dust 2

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

46% win rate across 50 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–60.0418%13 Nov →
dust25–13-0.0819%12 Nov →
dust212–12-0.0313%12 Nov →
mirage13–5-0.0325%12 Nov →
inferno7–13-0.0715%6 Nov →
mirage0–13-0.0721%6 Nov →
dust213–6-0.0333%6 Nov →
dust29–13-0.0323%2 Nov →
mirage13–9-0.0318%2 Nov →
mirage7–13-0.0638%1 Nov →
inferno13–00.0421%1 Nov →
dust210–13-0.0823%1 Nov →
dust27–13-0.0615%1 Nov →
dust213–11-0.0214%29 Oct →
anubis7–130.0442%28 Oct →
dust29–130.0017%28 Oct →
mirage13–6-0.0129%27 Oct →
dust26–13-0.0829%27 Oct →
anubis13–6-0.0024%22 Oct →
dust212–120.0121%22 Oct →
dust29–13-0.0713%19 Oct →
inferno5–130.0224%19 Oct →
mirage13–90.0417%19 Oct →
dust213–90.0615%17 Oct →
dust25–13-0.057%16 Oct →
mirage11–13-0.0327%15 Oct →
mirage12–12-0.0227%15 Oct →
dust21–13-0.0215%15 Oct →
dust212–4-0.0611%13 Oct →
mirage4–13-0.0915%13 Oct →
dust213–80.0920%12 Oct →
inferno5–13-0.0627%12 Oct →
dust24–130.0529%9 Oct →
dust211–13-0.0320%8 Oct →
mirage10–00.0512%7 Oct →
dust213–70.0729%7 Oct →
dust27–13-0.068%6 Oct →
mirage13–7-0.048%6 Oct →
dust213–70.049%4 Oct →
inferno12–12-0.0025%4 Oct →
mirage12–12-0.0324%4 Oct →
dust212–120.0021%2 Oct →
dust29–130.0218%2 Oct →
dust212–120.0419%30 Sept →
mirage13–40.0316%30 Sept →
inferno7–130.0213%30 Sept →
dust213–110.0117%30 Sept →
dust213–7-0.0219%29 Sept →
dust23–13-0.039%29 Sept →
mirage12–12-0.0312%29 Sept →
mirage13–110.0019%28 Sept →
dust213–9-0.0325%28 Sept →
dust26–4-0.017%25 Sept →
mirage13–60.0227%25 Sept →
dust25–13-0.0511%23 Sept →
dust212–12-0.0515%23 Sept →
dust25–130.0115%23 Sept →
nuke13–10-0.0313%22 Sept →
inferno13–10-0.0121%16 Sept →
dust213–90.1325%16 Sept →
mirage12–60.0611%16 Sept →
dust213–80.0436%16 Sept →
dust213–11-0.0726%14 Sept →
inferno6–130.0113%9 Sept →
dust210–130.0219%9 Sept →
mirage7–13-0.0613%5 Sept →
mirage11–13-0.0215%4 Sept →
dust213–8-0.0314%4 Sept →
inferno9–50.0115%3 Sept →
dust213–3-0.0215%3 Sept →
mirage13–60.0312%2 Sept →
dust213–5-0.0416%31 Aug →
mirage7–130.0617%30 Aug →
mirage4–13-0.0519%28 Aug →
dust213–11-0.068%27 Aug →
dust27–00.078%27 Aug →
dust29–130.0020%27 Aug →
mirage13–6-0.0710%26 Aug →
dust212–12-0.0123%26 Aug →
mirage6–13-0.0124%13 Aug →
dust28–13-0.0627%13 Aug →
mirage13–11-0.0122%12 Aug →
dust27–13-0.0510%12 Aug →
mirage6–13-0.0310%28 Jul →
mirage5–13-0.0118%27 Jul →
mirage2–13-0.0715%13 Jul →
dust213–5-0.0620%12 Jul →
mirage13–10-0.0830%12 Jul →
dust213–6-0.0118%12 Jul →
inferno13–1-0.0031%11 Jul →
mirage13–70.0324%3 Jul →
mirage13–110.0220%30 Jun →
mirage9–13-0.0221%30 Jun →
dust212–120.0215%30 Jun →
mirage0–9-0.1023%29 Jun →
dust213–6-0.0039%29 Jun →
mirage12–12-0.093%28 Jun →
dust213–60.0017%28 Jun →
cache11–13-0.0115%26 Jun →
inferno13–40.0135%26 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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