Pegi

Pegi — CS2 Stats

IT76561198125329790[U:1:165064062]Steam profile ↗✓ No bans

4,698Tracked matches54%Win rate2020Tracked since
CSDB Rating7.8 StrongOpening Duellist
Premier CS Rating24,738Top 25% of 180,525 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)
CSDB Leaderboard#23050 of 226261 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−156Premier CS Rating · 24,894 → 24,738
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 13 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,738 +2,225 16 Jul18 Sept · 36 days played
21,86626,461peak 26,46116 Jul18 Sept
26,461Peak Premier in tracked matches
39Days played since 2026-07-13

Premier CS Rating

  • 1,723 below peak (26,461)
  • +2,872 over 30 days · improving
  • Next: Red band at 25,000 262 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-14
  • Pink band first seen 2026-08-30

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

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CSDB.GGPegiPREMIER24,738 · Pink bandcsdb.gg/stats

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Performance scores

Aim87
Positioning83
Utility57

0–100 skill scores via Leetify.

Recent form

COLD56386Last 10056%Win rateTLLLLLWTWW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −3.8pp headshot accuracy · −36ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 041 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 455ms

Last 10

  • 352 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 470ms

Last 20

  • 8102 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 488ms

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 DuellistWinning opening duels is what stands out in this profile (+1.9 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.7
Utility5.7
Positioning8.3
Opening Duels8.7
Clutch4.4

Sharp aimerStrong positioning

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 83% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.7
Positioning8.3
Utility5.7
Mechanics6.3
Opening Duels9.3
Win Impact6.3

Composite 7.8/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time496ms−83ms
first ⅓ avg 580ms → last ⅓ avg 496ms
Headshot accuracy24.1%+6.8%
first ⅓ avg 17.2% → last ⅓ avg 24.1%

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.

Personal bests

0.18Best match rating · 13–3 · train, 6 Aug
100%Best headshot accuracy · 0–5 · ancient, 19 Aug
156msFastest reaction time · 0–5 · ancient, 19 Aug
13–2Biggest win · mirage, 9 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
76In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 65% over 17infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA27171063%0.02
nukeS1711665%0.03
dust2A159660%0.00
ancientB158753%0.01
cacheB157847%0.03
infernoD61517%-0.03
anubis42250%0.01
train110100%0.18

Across the last 100 tracked matches.

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

Faceit stats

Combat

6,580Matches
51%Win rate
1.00Avg K/D
73.7ADR
47%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage36252%0.9614.8
Ancient32257%0.9714.9
Nuke30858%1.0714.9
Dust213147%0.9814.1
Anubis10146%0.9615.4
Overpass8759%1.0014.8
Vertigo5246%0.8813.9
Train5058%1.0016.0

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.

23.1%Headshot accuracy
35.3%Accuracy (enemy spotted)
41.2%Spray accuracy
78.4%Counter-strafing
8.4°Preaim
494msReaction time
70.3%T opening success
64.3%CT opening success
0.63Enemies flashed / flash
5.5%Flash assists
11.02HE damage / grenade
9.91Flashes / match

Recommended for you

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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust215–150.0214%18 Sept
mirage11–13-0.0124%17 Sept
mirage2–13-0.0333%17 Sept
dust25–11-0.0625%16 Sept
mirage8–130.0131%15 Sept
ancient7–13-0.049%15 Sept
nuke13–70.0727%15 Sept
dust215–150.0220%14 Sept
mirage13–100.0026%12 Sept
nuke13–40.1124%12 Sept
ancient13–5-0.0122%10 Sept
mirage13–100.0537%10 Sept
mirage10–13-0.0120%9 Sept
mirage13–20.0519%9 Sept
cache13–80.0524%9 Sept
inferno13–8-0.0419%8 Sept
anubis2–8-0.0218%7 Sept
cache7–130.0128%5 Sept
nuke3–30.0167%5 Sept
mirage5–130.0020%5 Sept
ancient13–70.0813%3 Sept
cache8–130.0116%3 Sept
dust213–100.0127%3 Sept
inferno15–15-0.0517%3 Sept
cache15–150.0222%3 Sept
nuke8–130.0927%3 Sept
mirage3–00.0150%3 Sept
dust216–130.0324%2 Sept
nuke13–100.0623%2 Sept
mirage13–80.0425%2 Sept
cache11–13-0.0417%28 Aug
mirage13–90.0819%27 Aug
dust213–40.007%27 Aug
anubis13–80.0624%26 Aug
mirage13–60.0511%26 Aug
cache13–30.079%26 Aug
ancient13–7-0.0011%26 Aug
dust23–130.0020%26 Aug
ancient13–20.0018%24 Aug
inferno3–100.0813%24 Aug
dust213–50.0422%21 Aug
nuke13–110.0018%20 Aug
inferno0–2-0.0420%20 Aug
cache13–80.0215%20 Aug
dust213–100.0615%20 Aug
mirage13–70.0517%19 Aug
ancient0–5-0.06100%19 Aug
nuke9–130.0316%15 Aug
nuke8–130.0213%15 Aug
ancient2–80.000%15 Aug
mirage13–9-0.0114%14 Aug
nuke16–140.0820%12 Aug
ancient13–40.1218%12 Aug
nuke0–2-0.080%12 Aug
ancient13–60.0213%11 Aug
mirage8–130.0723%11 Aug
mirage16–12-0.0111%10 Aug
train13–30.1823%6 Aug
ancient7–13-0.0712%6 Aug
cache13–90.0116%6 Aug
inferno3–6-0.040%5 Aug
mirage13–30.0715%5 Aug
ancient6–13-0.0414%3 Aug
anubis13–70.0214%3 Aug
cache8–130.0115%3 Aug
nuke13–9-0.0024%27 Jul
mirage6–13-0.0319%25 Jul
nuke13–60.0313%22 Jul
mirage13–40.1015%22 Jul
mirage10–13-0.0614%21 Jul
mirage13–40.0838%21 Jul
ancient14–160.0521%20 Jul
cache15–150.1324%20 Jul
cache13–30.1013%20 Jul
dust213–60.0111%20 Jul
nuke13–8-0.0112%20 Jul
cache9–13-0.0327%19 Jul
ancient7–130.0218%19 Jul
anubis15–15-0.034%18 Jul
nuke13–60.0216%18 Jul
ancient10–10.1320%18 Jul
mirage13–100.0115%16 Jul
mirage6–130.0225%16 Jul
mirage16–14-0.0513%16 Jul
ancient19–17-0.0215%16 Jul
mirage13–6-0.0318%16 Jul
dust213–80.0018%16 Jul
inferno1–13-0.1120%15 Jul
mirage8–13-0.0319%15 Jul
nuke16–140.0416%15 Jul
dust24–13-0.0316%14 Jul
cache13–100.0018%14 Jul
dust28–13-0.080%14 Jul
cache6–130.0317%13 Jul
dust213–11-0.0120%13 Jul
cache13–50.0015%13 Jul
mirage13–30.0321%13 Jul
nuke13–6-0.0321%13 Jul
nuke10–130.0214%13 Jul
dust213–11-0.0120%13 Jul

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 →