Plato

Plato — CS2 Stats

NZ76561198880196040[U:1:919930312]Steam profile ↗✓ No bans

27Tracked matches31%Win rate2023Tracked since
83Hours in CS
CSDB Rating · provisional1.4 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim6
Positioning19
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY8–18–1Last 2730%Win rateLWLWLWLLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +0.4pp headshot accuracy · −23ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 13%
  • Avg reaction 791ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 14%
  • Avg reaction 824ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 14%
  • Avg reaction 836ms

Newest first, from the last 27 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+0.8 against its own average).

Aim0.6
Utility1.4
Positioning1.9
Opening Duels0.0

Limited 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.

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 71% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 838ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.6
Positioning1.9
Utility1.4
Mechanics4.1
Opening Duels0.0
Win Impact0.0

Composite 1.4/10 (Learning, provisional — under 30 tracked matches), 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-0.09+0.02
first ⅓ avg -0.11 → last ⅓ avg -0.09
Reaction time805ms−27ms
first ⅓ avg 832ms → last ⅓ avg 805ms
Headshot accuracy14.9%+2.2%
first ⅓ avg 12.7% → last ⅓ avg 14.9%

Rolling 5-match average across the last 27 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

-0.04Best match rating · 13–6 · anubis, 2 Apr →
36%Best headshot accuracy · 3–13 · train, 24 Apr →
578msFastest reaction time · 0–13 · dust2, 24 Mar →
13–3Biggest win · anubis, 5 Apr →

Across the last 27 tracked matches.

Highlights

2Longest win streak

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 11 maps qualify so far.

MapGradePlayedRecordWin rateAvg rating
dust2D62–433%-0.09
mirage—41–325%-0.12
train—31–233%-0.11
inferno—30–30%-0.10
cache—21–150%-0.10
overpass—20–20%-0.11
nuke—21–150%-0.07
anubis—22–0100%-0.06
warden—10–10%-0.09
office—10–10%-0.11
ancient—10–10%-0.14

Across the last 27 tracked matches.

Lifetime stats

9,758Lifetime kills
1.30K/D · Top 10% of tracked players
609Matches
33.7%Match win rate
40.4%Headshot %
16.2%Shot accuracy · Top 25% of tracked players
496MVPs
83Hours (in match)
120Bombs planted
19Bombs defused

Most-used weapons

Lifetime map wins

272dust2
90safehouse
80inferno
60train
59ar_shoots
57lake
44nuke
38stmarc

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.

13.9%Headshot accuracy
23.6%Accuracy (enemy spotted)
27.3%Spray accuracy
68.6%Counter-strafing
14.9°Preaim
838msReaction time
11.0%T opening success
19.9%CT opening success
0.36Enemies flashed / flash
0.0%Flash assists
4.54HE damage / grenade
2.38Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.859° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.9328% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 837.666ms — above the 700ms mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0515%9 Jul →
cache13–10-0.0916%25 Jun →
overpass10–13-0.1015%21 Jun →
mirage13–4-0.064%21 Jun →
cache2–13-0.1114%30 Apr →
train13–7-0.1415%25 Apr →
train3–13-0.0936%24 Apr →
dust211–13-0.118%24 Apr →
dust25–13-0.0912%23 Apr →
dust213–11-0.1010%17 Apr →
warden4–13-0.093%17 Apr →
inferno8–13-0.1313%15 Apr →
office6–13-0.1122%10 Apr →
nuke12–12-0.0810%6 Apr →
anubis13–3-0.0725%5 Apr →
dust213–7-0.0615%5 Apr →
overpass4–13-0.1211%5 Apr →
anubis13–6-0.0416%2 Apr →
mirage2–13-0.1313%27 Mar →
inferno10–13-0.0813%27 Mar →
ancient11–13-0.1420%2 Nov →
nuke13–5-0.0520%12 Oct →
mirage0–13-0.1023%21 Sept →
dust20–13-0.1119%24 Mar →
train3–13-0.100%24 Mar →
mirage0–9-0.180%4 Aug →
inferno3–9-0.087%1 Aug →

Match data via Leetify.

Recent teammates

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

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