PLASTER

PLASTER — CS2 Stats

76561197988925948[U:1:28660220]Steam profile ↗✓ No bans

1,473Tracked matches69%Win rate2020Tracked since
10,174Hours in CS11Hrs last 2 wks
CSDB Rating7.3 StrongSupport
FaceitLevel 10 · 2,598 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,598 → 2,598
+21Tracked matches · now 1,473
0.0ppWin rate · 69.0% → 69.0%

Rating over time

2,598Highest Faceit ELO seen on CSDB
34Days played since 2026-03-25

Faceit ELO

  • At peak — 2,598
  • Next: 3,000 ELO at 3,000 — 402 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-19
  • Level 10 first seen 2026-09-19

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 playerLevel 10 median
Headshot rate46.7%50.9%
Shot accuracy17.8%13.7%
Kill/death ratio1.281.09
Match win rate48.9%48.4%

Share this profile

CSDB.GGPLASTERFACEITLevel 10 · 2,598 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,598csdb.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

Aim83
Positioning60
Utility76

0–100 skill scores via Leetify.

Recent form

HOT58–41–1Last 10058%Win rateWWWWWWWLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +3.9pp headshot accuracy · −51ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 494ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 505ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 530ms

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 (+1.8 against its own average).

Aim8.3
Utility7.6
Positioning6.0
Opening Duels5.3
Clutch4.2

Effective flashesHigh utility contribution

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

device

Plays most like device 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 55% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3
Positioning6.0
Utility7.6
Mechanics6.6
Opening Duels3.2
Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time538ms−12ms
first ⅓ avg 551ms → last ⅓ avg 538ms
Headshot accuracy18.5%−1.5%
first ⅓ avg 20.0% → last ⅓ avg 18.5%

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

0.20Best match rating · 13–2 · inferno, 22 Apr →
45%Best headshot accuracy · 9–13 · dust2, 2 Apr →
375msFastest reaction time · 13–6 · inferno, 17 Jun →
13–0Biggest win · ancient, 9 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W7Current streak
11–12In matches decided by ≤2 rounds
21Overtime games

Map breakdown

mirageBest map · 78% over 9ancientWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B3519–1654%0.02
infernoA2918–1162%0.02
ancientC167–944%0.02
cacheA117–464%0.04
mirageS97–278%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

298,826Lifetime kills
1.28K/D · Top 25% of Level 10 players
10,602Matches
48.9%Match win rate · Top 50% of Level 10 players
46.7%Headshot %
17.8%Shot accuracy · Top 25% of Level 10 players
39,730MVPs
5,668Hours (in match)
11,005Bombs planted
2,990Bombs defused

Most-used weapons

AK-47100,921
AWP41,361
P2505,611
FAMAS5,007
Knife4,689

Lifetime map wins

34,221dust2
20,002inferno
3,044nuke
1,619train
667cbble
389vertigo
101dust
80shorttrain

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

Faceit stats

Combat

2,826Matches
53%Win rate
1.36Avg K/D
93.0ADR
41%Headshot %

Clutches & streaks

41%1v1 clutch win
26%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust227753%1.3019.0
Ancient18045%1.1418.4
Inferno17164%1.3318.9
Mirage10052%1.2718.4
Cache3661%1.2718.5
Anubis2152%1.2018.3
Overpass1050%1.1917.8
Nuke425%1.0716.8

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.

18.3%Headshot accuracy
39.3%Accuracy (enemy spotted)
42.8%Spray accuracy
79.7%Counter-strafing
10.0°Preaim
536msReaction time
30.0%T opening success
55.3%CT opening success
0.71Enemies flashed / flash
14.5%Flash assists
12.30HE damage / grenade
14.74Flashes / 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

    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 29.9679% — 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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0614%14 Sept →
ancient19–170.0417%3 Sept →
dust213–110.0528%3 Aug →
ancient13–110.0825%22 Jun →
inferno13–60.0315%17 Jun →
dust213–100.0121%17 Jun →
dust216–130.1413%15 Jun →
cache6–13-0.0224%15 Jun →
inferno13–11-0.0126%15 Jun →
mirage19–160.0315%12 Jun →
cache16–120.0412%12 Jun →
ancient13–00.1114%9 Jun →
inferno13–90.0210%9 Jun →
dust213–10-0.0117%27 May →
dust213–30.0120%26 May →
dust213–80.019%23 May →
dust214–160.0322%23 May →
ancient15–19-0.0313%19 May →
inferno11–130.0319%19 May →
dust213–70.0626%19 May →
cache13–20.1921%13 May →
cache13–80.1030%13 May →
ancient13–110.0113%12 May →
inferno8–130.0432%12 May →
inferno5–13-0.0717%12 May →
dust210–00.1216%12 May →
dust24–13-0.0126%8 May →
cache12–120.036%7 May →
cache9–130.0817%7 May →
inferno4–13-0.0623%4 May →
dust216–130.0421%4 May →
cache13–10-0.0313%4 May →
dust217–19-0.0117%3 May →
inferno13–100.0420%3 May →
mirage16–140.0014%3 May →
cache13–16-0.0511%3 May →
cache13–60.0326%29 Apr →
mirage4–130.0414%29 Apr →
cache13–100.0623%29 Apr →
dust213–80.0427%29 Apr →
mirage13–10-0.0223%29 Apr →
dust213–100.0518%27 Apr →
inferno13–80.0118%27 Apr →
dust211–130.0317%27 Apr →
dust210–130.0420%27 Apr →
inferno11–13-0.0126%24 Apr →
dust213–50.0615%24 Apr →
ancient13–2-0.0013%24 Apr →
inferno9–130.0124%24 Apr →
inferno13–110.0020%24 Apr →
ancient6–130.0512%24 Apr →
inferno13–80.0719%23 Apr →
cache13–6-0.0410%23 Apr →
inferno12–16-0.0331%23 Apr →
inferno13–20.2027%22 Apr →
ancient9–130.0118%22 Apr →
dust211–130.0622%22 Apr →
mirage13–100.0114%22 Apr →
ancient11–130.0719%22 Apr →
ancient16–120.0618%22 Apr →
dust216–120.0321%20 Apr →
inferno13–90.0725%15 Apr →
ancient8–13-0.027%14 Apr →
mirage9–130.038%14 Apr →
inferno13–90.1022%14 Apr →
inferno8–13-0.0118%14 Apr →
inferno19–170.0321%12 Apr →
ancient11–130.007%12 Apr →
dust214–160.0124%12 Apr →
inferno10–130.0214%12 Apr →
inferno16–120.0220%10 Apr →
inferno13–9-0.0713%10 Apr →
ancient13–60.0119%10 Apr →
dust210–130.0220%10 Apr →
dust25–130.0412%10 Apr →
dust213–70.0535%10 Apr →
mirage13–7-0.047%10 Apr →
dust216–120.0118%7 Apr →
dust210–13-0.0210%7 Apr →
dust27–13-0.0518%7 Apr →
dust28–13-0.0014%7 Apr →
ancient13–16-0.0011%2 Apr →
dust211–13-0.0027%2 Apr →
dust29–13-0.0145%2 Apr →
mirage13–90.0223%2 Apr →
dust29–13-0.0222%2 Apr →
dust213–100.0323%31 Mar →
inferno11–130.0110%31 Mar →
inferno13–80.0621%31 Mar →
dust213–9-0.0024%31 Mar →
inferno16–130.0115%30 Mar →
dust213–90.0628%30 Mar →
ancient10–13-0.0020%30 Mar →
inferno16–140.0020%30 Mar →
dust20–13-0.0917%27 Mar →
inferno7–13-0.0226%27 Mar →
dust213–6-0.0329%27 Mar →
mirage13–90.0114%27 Mar →
ancient11–13-0.0030%27 Mar →
inferno19–170.0225%25 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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