Apotatoflewaround

Apotatoflewaround — CS2 Stats

KP76561198827407971[U:1:867142243]Steam profile ↗✓ No bans

526Tracked matches45%Win rate2024Tracked since
570Hours in CS12Hrs last 2 wks
CSDB Rating3.3 LearningPositional Player
Premier CS Rating4,004Grey band · top ~83% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 4,004 +419 27 Mar – 10 Nov · 8 days played
3,5284,524peak 4,52427 Mar10 Nov
4,524Peak Premier in tracked matches
36Days played since 2026-03-27

Premier CS Rating

  • 520 below peak (4,524)
  • -477 over 90 days
  • Next: Light Blue band at 5,000 — 996 to go

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate27.6%38.2%39.9%12.3% short
Shot accuracy0.1%3.6%7.0%6.8% short
Kill/death ratio0.800.830.920.11 short
Match win rate35.0%40.2%42.3%7.3% short

This profile sits below the typical Light Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGApotatoflewaroundPREMIER4,004 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim34
Positioning41
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY40–55–5Last 10040%Win rateLLWWWLWTLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.9pp headshot accuracy · +5ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 539ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 7%
  • Avg reaction 541ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 539ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim3.4
Utility4.0
Positioning4.1
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

iM

Plays most like iM 71% 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 →

CSDB Rating breakdown

Aim3.4
Positioning4.1
Utility4.0
Mechanics5.5
Opening Duels0.5
Win Impact3.3

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time541ms−92ms
first ⅓ avg 633ms → last ⅓ avg 541ms
Headshot accuracy8.2%−3.7%
first ⅓ avg 11.9% → last ⅓ avg 8.2%

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 · 9–4 · eldorado, 30 Jul →
50%Best headshot accuracy · 2–0 · ancient, 27 Mar →
391msFastest reaction time · 13–10 · office, 20 Sept →
13–2Biggest win · nuke, 8 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 58% over 12mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2412–1250%-0.02
vertigoC145–936%-0.02
cacheD124–833%-0.05
infernoA127–558%-0.02
officeC83–538%-0.03
mirageD81–713%-0.06
anubis—40–40%-0.03
rush_001—31–233%-0.10
ancient—32–167%0.01
poseidon—31–233%-0.11
eldorado—32–167%-0.02
train—22–0100%0.02
italy—10–10%-0.01
overpass—10–10%-0.08
dust2—10–10%-0.06
debris—10–10%-0.17

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,956Lifetime kills
0.80K/D
1,178Matches
35.0%Match win rate
27.6%Headshot %
0.1%Shot accuracy
1,373MVPs
345Hours (in match)
727Bombs planted
162Bombs defused

Most-used weapons

Lifetime map wins

1,443nuke
1,332inferno
908vertigo
778dust2
485train
399office
82italy
36ar_baggage

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.

7.9%Headshot accuracy
27.6%Accuracy (enemy spotted)
35.9%Spray accuracy
74.8%Counter-strafing
13.4°Preaim
533msReaction time
27.9%T opening success
34.3%CT opening success
0.32Enemies flashed / flash
13.3%Flash assists
4.90HE damage / grenade
3.13Flashes / 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 13.4087° — 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 7.9439% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3234 — below the 0.5 mark we flag

    Grenade Lineups →
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0410%14 Nov →
nuke11–13-0.057%12 Nov →
cache13–9-0.039%10 Nov →
inferno13–8-0.022%10 Nov →
nuke13–10-0.0210%9 Nov →
inferno8–13-0.0510%8 Nov →
nuke13–20.015%8 Nov →
vertigo12–12-0.078%8 Nov →
italy6–13-0.0110%8 Nov →
nuke10–13-0.123%8 Nov →
cache13–40.0112%4 Nov →
nuke13–7-0.035%4 Nov →
office8–13-0.045%4 Nov →
nuke10–13-0.0411%2 Nov →
inferno13–7-0.029%2 Nov →
office13–50.0216%2 Nov →
overpass1–13-0.087%1 Nov →
vertigo13–100.0311%1 Nov →
cache10–13-0.0615%11 Oct →
mirage9–13-0.103%11 Oct →
rush_0016–2-0.0925%8 Oct →
train13–9-0.0212%8 Oct →
vertigo7–13-0.023%6 Oct →
nuke4–13-0.088%6 Oct →
rush_0015–8-0.160%5 Oct →
rush_0017–8-0.058%5 Oct →
inferno13–9-0.045%23 Sept →
nuke8–130.002%20 Sept →
office13–10-0.035%20 Sept →
inferno10–130.0121%20 Sept →
vertigo8–13-0.063%20 Sept →
vertigo13–90.033%20 Sept →
mirage3–13-0.079%16 Sept →
nuke5–13-0.0614%16 Sept →
vertigo7–13-0.050%11 Sept →
office6–130.006%11 Sept →
office12–12-0.029%10 Sept →
mirage10–13-0.094%10 Sept →
train13–50.0612%9 Sept →
mirage5–13-0.0312%9 Sept →
anubis7–13-0.008%24 Aug →
nuke9–13-0.0410%24 Aug →
nuke16–120.0012%16 Aug →
ancient13–70.048%16 Aug →
nuke13–50.0123%16 Aug →
nuke13–60.0314%16 Aug →
cache3–13-0.089%16 Aug →
cache8–13-0.049%16 Aug →
anubis5–13-0.0922%15 Aug →
inferno7–13-0.0416%14 Aug →
mirage7–13-0.056%14 Aug →
nuke13–110.0413%14 Aug →
dust24–13-0.064%14 Aug →
inferno13–20.0511%14 Aug →
mirage13–11-0.034%14 Aug →
cache4–130.0610%14 Aug →
inferno13–10-0.0511%14 Aug →
nuke11–130.0210%14 Aug →
vertigo10–13-0.037%14 Aug →
inferno8–13-0.0511%14 Aug →
poseidon2–9-0.219%14 Aug →
nuke10–130.0214%10 Aug →
office4–13-0.074%8 Aug →
office13–11-0.0213%8 Aug →
vertigo3–130.0115%8 Aug →
vertigo2–13-0.0316%8 Aug →
vertigo9–6-0.088%7 Aug →
eldorado9–7-0.094%7 Aug →
poseidon8–8-0.034%7 Aug →
debris4–9-0.176%7 Aug →
eldorado4–9-0.095%7 Aug →
mirage2–13-0.0710%5 Aug →
ancient11–13-0.0418%1 Aug →
vertigo12–12-0.0117%1 Aug →
vertigo6–13-0.0811%30 Jul →
nuke13–9-0.0317%30 Jul →
inferno13–40.025%30 Jul →
cache13–7-0.0513%30 Jul →
anubis11–13-0.024%30 Jul →
nuke13–3-0.0311%30 Jul →
poseidon9–6-0.104%30 Jul →
eldorado9–40.1229%30 Jul →
vertigo13–60.009%30 Jul →
inferno13–80.024%29 Jul →
inferno7–13-0.0415%27 Jul →
vertigo13–40.0211%27 Jul →
mirage6–13-0.0819%27 Jul →
cache6–13-0.0310%27 Jul →
nuke7–130.0015%18 Jul →
cache6–13-0.0613%17 Jul →
nuke13–60.034%17 Jul →
office12–12-0.062%16 Jul →
anubis5–13-0.018%16 Jul →
cache13–11-0.072%16 Jul →
cache10–130.0119%13 Jul →
nuke13–100.0310%13 Jul →
nuke0–3-0.0633%13 Jul →
cache8–13-0.270%5 Jul →
nuke13–9-0.0612%27 Mar →
ancient2–00.0350%27 Mar →

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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