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Potato_Pete

Potato_Pete — CS2 Stats

76561198295074655[U:1:334808927]Steam profile ↗✓ No bans

498Tracked matches50%Win rate2021Tracked since
665Hours in CS
CSDB Rating4.0 Developing
Premier CS Rating3,110Grey band · top ~86.8% of ranked players (population est.)
CSDB Leaderboard#18837 of 24179 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate37.9%40.1%2.1% short
Shot accuracy13.9%7.6%above
Kill/death ratio1.910.92above
Match win rate46.3%42.2%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGPotato_PetePREMIER3,110 · 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

Aim35
Positioning34
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWLLWLWWLLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim3.5
Aggression4.6
Utility6.7
Positioning3.4
Opening Duels1.1

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

Your pro match

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 761ms 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

Aim3.5
Positioning3.4
Utility6.7
Mechanics7.5
Opening Duels1.2
Win Impact5.0

Composite 4.0/10 (Developing), 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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time767ms+15ms
first ⅓ avg 752ms → last ⅓ avg 767ms
Headshot accuracy17.0%+1.7%
first ⅓ avg 15.3% → last ⅓ avg 17.0%

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.

Highlights

0.10Best rating — nuke 13–6
13–0Biggest win — mirage
6Longest win streak
4–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 60% over 10infernoWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
dust2B3418–1653%-0.02
mirageC3013–1743%-0.03
infernoD206–1430%-0.03
nukeA106–460%0.01
overpass—31–233%-0.06
anubis—10–10%0.08
ancient—11–0100%-0.03
train—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,769Lifetime kills
1.91K/D · Top 5% of tracked players
2,791Matches
46.3%Match win rate · Top 50% of tracked players
37.9%Headshot %
13.9%Shot accuracy · Top 50% of tracked players
8,599MVPs
665Hours (in match)
4,381Bombs planted
1,018Bombs defused

Most-used weapons

AK-4713,868
AWP11,332
M4A4 / M4A1-S8,094
Desert Eagle3,439
P2000 / USP-S2,803
Glock-182,215
MP91,956
Galil AR1,735
MAC-101,704
SSG 081,434

Lifetime map wins

3,449dust2
2,596inferno
2,245nuke
806italy
665train
644vertigo
591office
169lake

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.

17.5%Headshot accuracy
30.5%Accuracy (enemy spotted)
32.1%Spray accuracy
83.6%Counter-strafing
12.9°Preaim
761msReaction time
29.1%T opening success
39.5%CT opening success
0.69Enemies flashed / flash
8.8%Flash assists
8.77HE damage / grenade
8.93Flashes / 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 12.914° — above the 12° mark we flag

    Aim Training →
  2. 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 761.1997ms — above the 700ms mark we flag

    Aim Training →
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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0621%17 Jan →
inferno8–13-0.0220%17 Jan →
dust212–16-0.0626%17 Jan →
dust213–40.0217%13 Jan →
mirage10–13-0.0412%13 Jan →
dust213–4-0.0522%11 Jan →
mirage13–00.068%20 Dec →
dust212–16-0.0223%20 Dec →
dust29–130.0516%18 Dec →
dust213–20.0615%17 Dec →
mirage13–7-0.0411%16 Dec →
inferno11–130.007%16 Dec →
dust26–13-0.0013%16 Dec →
mirage13–50.0617%15 Dec →
dust213–80.0517%15 Dec →
mirage6–13-0.0120%15 Dec →
anubis7–130.0812%15 Dec →
dust24–13-0.0424%15 Dec →
dust213–60.0220%15 Dec →
mirage13–10-0.0316%15 Dec →
dust213–9-0.0233%15 Dec →
mirage8–13-0.046%14 Dec →
dust213–4-0.0218%14 Dec →
inferno6–1-0.0418%14 Dec →
dust213–5-0.0214%14 Dec →
dust211–13-0.0512%13 Dec →
dust211–13-0.0031%2 Dec →
nuke11–130.0118%29 Nov →
dust211–13-0.0315%28 Nov →
dust213–5-0.0215%28 Nov →
inferno9–13-0.0516%28 Nov →
dust213–9-0.0216%28 Nov →
ancient13–10-0.0311%28 Nov →
nuke13–8-0.0716%28 Nov →
nuke13–8-0.0010%28 Nov →
dust210–13-0.0515%27 Nov →
mirage15–15-0.0016%27 Nov →
dust24–13-0.0723%27 Nov →
mirage8–13-0.0815%27 Nov →
dust213–90.0325%27 Nov →
dust28–13-0.0224%23 Nov →
nuke13–60.1021%23 Nov →
nuke13–80.0120%23 Nov →
mirage8–13-0.0410%23 Nov →
nuke8–130.0419%23 Nov →
mirage8–13-0.0718%14 Oct →
dust24–13-0.0215%14 Oct →
inferno13–9-0.0321%6 Oct →
dust213–9-0.0510%4 Oct →
mirage13–90.0115%29 Sept →
dust213–20.0115%29 Sept →
dust26–13-0.0614%27 Sept →
overpass5–13-0.0413%27 Sept →
nuke13–5-0.0619%27 Sept →
dust213–40.0616%27 Sept →
inferno2–13-0.1110%27 Sept →
inferno3–130.000%27 Sept →
overpass1–13-0.0813%27 Sept →
dust25–13-0.0320%25 Sept →
mirage5–13-0.0716%25 Sept →
inferno15–15-0.0112%25 Sept →
nuke8–130.0317%25 Sept →
mirage10–13-0.0020%24 Sept →
dust22–13-0.0710%24 Sept →
inferno4–13-0.0723%24 Sept →
mirage14–16-0.0516%18 Sept →
mirage11–13-0.0219%18 Sept →
inferno6–13-0.0120%18 Sept →
inferno13–11-0.0218%18 Sept →
train11–13-0.0220%17 Sept →
nuke14–160.0416%17 Sept →
inferno10–130.0516%17 Sept →
mirage13–5-0.0318%17 Sept →
mirage6–13-0.0616%16 Sept →
mirage13–100.0423%16 Sept →
overpass13–7-0.059%16 Sept →
dust213–9-0.0612%16 Sept →
nuke13–9-0.037%16 Sept →
inferno13–30.0311%16 Sept →
mirage13–16-0.0418%16 Sept →
mirage12–16-0.068%14 Sept →
inferno13–10-0.004%14 Sept →
inferno5–13-0.058%14 Sept →
mirage3–13-0.0720%14 Sept →
mirage2–130.0116%14 Sept →
inferno6–13-0.0613%13 Sept →
mirage6–130.0220%13 Sept →
mirage16–14-0.0710%13 Sept →
inferno2–13-0.1021%13 Sept →
mirage13–11-0.0318%13 Sept →
dust213–8-0.0613%13 Sept →
dust28–13-0.089%13 Sept →
inferno14–16-0.0628%13 Sept →
mirage16–13-0.0216%12 Sept →
mirage13–100.0019%12 Sept →
dust213–2-0.0310%12 Sept →
inferno13–11-0.0718%12 Sept →
mirage13–5-0.0318%12 Sept →
dust213–9-0.0414%12 Sept →
inferno15–15-0.0518%12 Sept →

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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