pluggalo

pluggalo — CS2 Stats

US76561198872277115[U:1:912011387]Steam profile ↗

1,696Tracked matches44%Win rate2024Tracked since
1,358Hours in CS2Hrs last 2 wks
CSDB Rating2.9 LearningClutch Specialist
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#10027 of 15497 tracked
WingmanSilver III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate38.5%48.1%9.6% short
Shot accuracy0.9%12.9%12.0% short
Kill/death ratio0.791.080.30 short
Match win rate44.2%46.5%2.2% short

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

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

Share this profile

CSDB.GGpluggaloPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim33
Positioning34
Utility27

0–100 skill scores via Leetify.

Recent form

COLD325216Last 10032%Win rateLTLLTLTWLW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim3.3
Aggression3.0
Utility2.7
Positioning3.4
Opening Duels0.0
Clutch9.4

Limited utility dependenceReliable in 1v1s

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 68% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Areas to improve

Reaction time. 634ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.3
Positioning3.4
Utility2.7
Mechanics3.7
Opening Duels0.1
Win Impact3.0

Composite 2.9/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time638ms+26ms
first ⅓ avg 612ms → last ⅓ avg 638ms
Headshot accuracy15.1%−0.7%
first ⅓ avg 15.8% → last ⅓ avg 15.1%

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

0.09Best rating — train 13–3
133Biggest win — dust2
5Longest win streak
67In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 45% over 11ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheD2261627%-0.03
nukeD2061430%-0.03
dust2D1651131%-0.03
mirageB115645%-0.02
infernoD103730%-0.03
ancientD61517%-0.04
officeD51420%-0.01
anubis41325%-0.02
train32167%0.03
boulder1010%-0.02
fachwerk110100%-0.06
overpass110100%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,979Lifetime kills
0.79K/D
2,147Matches
44.2%Match win rate
38.5%Headshot %
0.9%Shot accuracy
3,575MVPs
747Hours (in match)
1,874Bombs planted
345Bombs defused

Most-used weapons

AK-477,895
MAC-102,774
MP92,695
AWP2,106
Nova1,044

Lifetime map wins

3,962dust2
2,592nuke
2,559inferno
1,847office
1,249train
518vertigo
41italy
16cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

9Matches
33%Win rate
0.90Avg K/D
72.0ADR
45%Headshot %

Clutches & streaks

67%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%1.1116.0
Dust2250%0.9417.0
Anubis10%0.539.0
Nuke10%0.6712.0
Inferno10%0.569.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

14.6%Headshot accuracy
28.6%Accuracy (enemy spotted)
33.1%Spray accuracy
66.8%Counter-strafing
11.4°Preaim
634msReaction time
25.7%T opening success
30.4%CT opening success
0.52Enemies flashed / flash
3.8%Flash assists
4.90HE damage / grenade
2.23Flashes / 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. 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 14.5916% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.2308 — below the 4 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.6805% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient6–7-0.0131%28 Aug
cache12–12-0.0416%23 Aug
ancient1–8-0.0310%19 Aug
office4–13-0.1013%9 Aug
dust212–12-0.0922%9 Aug
nuke9–13-0.054%6 Aug
ancient12–12-0.018%6 Aug
dust213–60.0413%6 Aug
nuke5–13-0.0819%4 Aug
cache13–8-0.016%4 Aug
dust26–13-0.018%3 Aug
nuke10–13-0.0113%3 Aug
nuke11–130.0113%2 Aug
cache6–13-0.1018%2 Aug
dust28–13-0.0514%2 Aug
cache13–11-0.0720%30 Jul
nuke13–7-0.0622%30 Jul
anubis15–15-0.0216%30 Jul
inferno13–11-0.0413%30 Jul
mirage12–12-0.0221%27 Jul
dust213–100.0212%25 Jul
nuke13–8-0.0117%24 Jul
anubis13–60.028%24 Jul
nuke13–8-0.0313%24 Jul
dust213–6-0.058%24 Jul
office7–130.0126%24 Jul
cache11–13-0.0013%24 Jul
anubis9–13-0.0110%22 Jul
dust213–3-0.0120%21 Jul
inferno8–13-0.0914%21 Jul
inferno13–70.0117%21 Jul
nuke5–13-0.0510%21 Jul
dust29–13-0.0529%21 Jul
nuke8–13-0.0622%21 Jul
ancient13–11-0.0314%20 Jul
inferno15–15-0.0519%20 Jul
cache13–100.0316%20 Jul
inferno14–16-0.0518%20 Jul
train13–30.0911%20 Jul
cache12–12-0.0113%20 Jul
nuke13–100.0016%20 Jul
inferno13–5-0.0217%20 Jul
mirage13–11-0.054%19 Jul
cache5–13-0.0714%19 Jul
mirage9–13-0.1013%19 Jul
cache13–11-0.0512%18 Jul
anubis10–13-0.079%18 Jul
inferno13–160.017%18 Jul
dust210–13-0.0222%18 Jul
nuke9–13-0.053%18 Jul
dust210–13-0.0513%18 Jul
mirage16–130.0219%18 Jul
cache13–5-0.0519%18 Jul
nuke11–130.022%17 Jul
mirage6–13-0.0117%17 Jul
cache9–13-0.0715%16 Jul
cache11–130.0615%15 Jul
cache10–130.0119%15 Jul
nuke12–12-0.025%14 Jul
dust212–12-0.0515%14 Jul
inferno9–13-0.0415%13 Jul
nuke8–13-0.0414%13 Jul
office13–40.024%13 Jul
office9–13-0.0314%13 Jul
dust22–13-0.050%10 Jul
cache10–13-0.0110%10 Jul
mirage13–30.0413%10 Jul
inferno4–130.0221%9 Jul
nuke5–13-0.1111%9 Jul
boulder12–12-0.0231%9 Jul
fachwerk13–9-0.0614%9 Jul
mirage3–13-0.0924%8 Jul
nuke4–13-0.120%8 Jul
train4–9-0.0242%8 Jul
ancient0–13-0.0721%8 Jul
dust212–12-0.0520%7 Jul
nuke13–60.0223%7 Jul
nuke12–12-0.067%7 Jul
mirage13–90.0812%7 Jul
cache5–13-0.0829%6 Jul
cache7–130.0210%6 Jul
cache5–13-0.0115%6 Jul
cache1–13-0.0619%6 Jul
cache1–13-0.048%6 Jul
mirage6–13-0.079%4 Jul
dust212–120.0115%4 Jul
overpass13–3-0.057%3 Jul
dust212–12-0.016%3 Jul
inferno12–12-0.033%3 Jul
office12–120.0313%1 Jul
mirage8–13-0.1010%1 Jul
nuke9–130.0313%1 Jul
cache10–13-0.0123%1 Jul
mirage13–30.0417%30 Jun
nuke13–60.0615%30 Jun
dust213–11-0.0317%30 Jun
cache13–4-0.1020%30 Jun
train7–130.0311%30 Jun
ancient6–13-0.0717%30 Jun
cache11–130.0318%30 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 →