plebej

plebej — CS2 Stats

76561197992290650[U:1:32024922]Steam profile ↗✓ No bans

1,533Tracked matches45%Win rate2020Tracked since
CSDB Rating6.2 SolidOpening Duellist
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,420 -4,994 29 Oct – 9 Apr · 9 days played
16,55822,754peak 22,75429 Oct9 Apr
22,754Peak Premier in tracked matches
2,158Highest Faceit ELO seen on CSDB
46Days played since 2025-10-29

Faceit ELO

  • At peak — 2,158
  • Next: 2,500 ELO at 2,500 — 342 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

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CSDB.GGplebejPEAK ELO2,158csdb.gg/stats

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Performance scores

Aim67
Positioning75
Utility56

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateLWLWLLLTLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −4.1pp headshot accuracy · +23ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 611ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 583ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.5 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim6.7
Utility5.6
Positioning7.5
Opening Duels7.7
Clutch3.8

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

s1mple

Plays most like s1mple 78% playstyle similarity

Most alike: positioning profile, 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 574ms 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

Aim6.7
Positioning7.5
Utility5.6
Mechanics5.6
Opening Duels6.5
Win Impact3.3

Composite 6.2/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time570ms+47ms
first ⅓ avg 523ms → last ⅓ avg 570ms
Headshot accuracy17.5%+0.5%
first ⅓ avg 17.0% → last ⅓ avg 17.5%

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

0.15Best match rating · 13–7 · ancient, 19 Nov →
39%Best headshot accuracy · 3–13 · nuke, 24 Feb →
320msFastest reaction time · 2–10 · nuke, 22 Mar →
13–0Biggest win · dust2, 22 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 58% over 12ancientWeakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
infernoB2110–1148%0.01
mirageB2111–1052%0.00
ancientD194–1521%0.02
nukeA127–558%0.02
overpassA95–456%0.03
anubisC94–544%0.02
dust2D62–433%0.05
train—32–167%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,524Matches
52%Win rate
1.23Avg K/D
86.6ADR
41%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage26147%1.2016.9
Inferno22657%1.2517.9
Ancient17450%1.2116.9
Anubis14550%1.1917.2
Nuke9956%1.2417.8
Dust24252%0.9214.0
Overpass3043%1.1816.2
Vertigo1533%1.2720.3

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.

18.0%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.1%Spray accuracy
75.0%Counter-strafing
9.3°Preaim
574msReaction time
51.0%T opening success
60.6%CT opening success
0.52Enemies flashed / flash
12.5%Flash assists
8.62HE damage / grenade
7.19Flashes / match

Recommended for you

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.

21% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0211%22 Oct →
dust213–00.0019%22 Oct →
ancient11–130.0611%3 May →
nuke9–2-0.0410%3 May →
overpass6–13-0.0121%29 Apr →
ancient4–13-0.0020%29 Apr →
anubis6–130.0617%26 Apr →
dust212–120.1313%26 Apr →
inferno6–13-0.0419%19 Apr →
anubis13–110.0618%19 Apr →
nuke13–50.0428%15 Apr →
inferno13–100.0924%12 Apr →
nuke4–130.0316%12 Apr →
mirage13–60.0626%9 Apr →
nuke8–130.0210%9 Apr →
anubis13–60.0614%5 Apr →
mirage7–13-0.0618%5 Apr →
mirage13–90.0729%3 Apr →
overpass8–130.0617%1 Apr →
inferno13–60.0916%1 Apr →
mirage13–50.0327%30 Mar →
mirage13–10.0724%30 Mar →
ancient7–13-0.019%30 Mar →
nuke6–130.0610%30 Mar →
mirage11–13-0.0515%24 Mar →
nuke13–70.0423%24 Mar →
dust27–13-0.0216%24 Mar →
dust26–130.0516%23 Mar →
mirage13–90.0423%23 Mar →
mirage13–70.0124%23 Mar →
nuke2–10-0.100%22 Mar →
inferno6–13-0.0514%22 Mar →
mirage11–130.0223%22 Mar →
inferno8–13-0.0518%21 Mar →
overpass13–110.0311%19 Mar →
nuke13–11-0.0322%19 Mar →
anubis13–20.0310%19 Mar →
dust211–13-0.0015%19 Mar →
mirage15–150.0319%19 Mar →
ancient11–130.0718%19 Mar →
mirage3–13-0.0218%17 Mar →
mirage13–9-0.0222%17 Mar →
overpass7–13-0.0318%15 Mar →
nuke13–110.089%15 Mar →
anubis11–13-0.0013%12 Mar →
ancient0–13-0.0518%11 Mar →
inferno9–13-0.0015%11 Mar →
overpass13–60.1412%9 Mar →
inferno13–100.0434%9 Mar →
ancient13–100.0515%9 Mar →
ancient12–120.0919%6 Mar →
inferno13–60.0527%6 Mar →
overpass13–40.0321%6 Mar →
ancient2–110.0519%1 Mar →
anubis11–130.0228%26 Feb →
overpass13–90.0630%26 Feb →
overpass13–10-0.0019%24 Feb →
nuke3–130.0439%24 Feb →
ancient3–13-0.0319%24 Feb →
ancient9–13-0.0220%23 Feb →
inferno19–160.0620%23 Feb →
anubis13–70.0423%22 Feb →
inferno5–130.0527%22 Feb →
mirage14–16-0.0515%21 Feb →
mirage15–15-0.0015%19 Feb →
anubis1–13-0.0821%19 Feb →
ancient13–10-0.0415%15 Feb →
anubis5–130.0217%11 Feb →
inferno13–11-0.0114%11 Feb →
mirage13–110.0217%11 Feb →
inferno7–130.0622%8 Feb →
ancient10–130.039%8 Feb →
nuke13–90.0918%29 Dec →
train13–80.0428%11 Dec →
inferno4–13-0.0513%10 Dec →
ancient12–120.0921%10 Dec →
train13–10-0.0017%23 Nov →
mirage12–120.0026%23 Nov →
ancient6–13-0.0718%20 Nov →
inferno13–90.0521%20 Nov →
inferno13–50.0515%20 Nov →
ancient13–70.1511%19 Nov →
mirage13–10-0.0416%19 Nov →
ancient1–70.0127%17 Nov →
inferno13–70.1116%5 Nov →
train5–130.0322%5 Nov →
mirage9–13-0.0220%5 Nov →
dust213–70.1323%4 Nov →
inferno4–12-0.069%2 Nov →
overpass9–130.0216%2 Nov →
inferno9–13-0.0118%31 Oct →
ancient10–13-0.0010%31 Oct →
ancient10–130.0412%31 Oct →
mirage13–9-0.0217%31 Oct →
mirage19–150.0318%31 Oct →
inferno4–13-0.086%30 Oct →
ancient13–70.0213%30 Oct →
inferno13–100.0411%30 Oct →
nuke13–100.0022%29 Oct →
mirage6–13-0.0717%29 Oct →

Match data via Leetify.

Recent teammates

Milestones

2K 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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