pelle?

pelle? — CS2 Stats

FI76561198213478803[U:1:253213075]Steam profile ↗✓ No bans

2,857Tracked matches31%Win rate2020Tracked since
CSDB Rating6.5 SolidAggressive Rifler
Premier CS Rating24,536Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#5578 of 36283 tracked
Ladder ranks via Leetify

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CSDB.GGpelle?PREMIER24,536 · Pink bandcsdb.gg/stats

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Performance scores

Aim87
Positioning67
Utility59

0–100 skill scores via Leetify.

Recent form

COLD33661Last 10033%Win rateLLLLLTWLLL

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.7
Aggression8.4
Utility5.9
Positioning6.7
Opening Duels4.1
Clutch4.0

Sharp aimer

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

donk

Plays most like donk 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

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.

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
Positioning6.7
Utility5.9
Mechanics7.6
Opening Duels4.1
Win Impact0.0

Composite 6.5/10 (Solid), 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 rating0.04+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time552ms−84ms
first ⅓ avg 636ms → last ⅓ avg 552ms
Headshot accuracy22.5%−0.3%
first ⅓ avg 22.8% → last ⅓ avg 22.5%

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.

Highlights

0.24Best rating — cache 13–3
132Biggest win — ancient
5Longest win streak
L5Current streak
412In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 50% over 10mirageWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D2061430%0.04
ancientC1871139%0.05
infernoC156940%0.07
cacheD1331023%0.04
nukeB105550%0.05
anubisB105550%0.02
mirageD6060%0.00
vertigo3030%0.05
overpass3030%0.02
train21150%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,111Matches
54%Win rate
1.28Avg K/D
99.1ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
28%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient15153%1.2719.5
Nuke13157%1.3120.2
Anubis12047%1.2620.1
Mirage10748%1.2419.3
Inferno8252%1.3219.9
Dust26961%1.3621.0
Vertigo3650%1.0817.7
Overpass2669%1.5023.2

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.

22.4%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.1%Spray accuracy
84.3%Counter-strafing
8.5°Preaim
542msReaction time
43.1%T opening success
50.1%CT opening success
0.59Enemies flashed / flash
7.4%Flash assists
9.98HE damage / grenade
7.70Flashes / match

Recommended for you

Spend your practice time on Mirage

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–130.0014%28 Aug
nuke10–130.0118%27 Aug
cache3–13-0.0610%24 Aug
anubis5–130.0121%24 Aug
ancient1–130.0118%22 Aug
mirage15–150.0524%17 Aug
nuke13–30.0333%17 Aug
inferno5–130.0111%17 Aug
ancient9–130.0521%16 Aug
inferno5–130.0527%16 Aug
vertigo9–13-0.0132%15 Aug
cache13–160.1030%14 Aug
inferno7–130.1726%6 Aug
dust213–110.0222%6 Aug
ancient9–130.0115%6 Aug
nuke13–110.1313%1 Aug
cache11–13-0.0124%1 Aug
cache13–80.0621%1 Aug
dust27–130.0624%30 Jul
ancient9–130.0823%30 Jul
ancient13–8-0.0518%25 Jul
ancient11–130.0033%25 Jul
inferno8–13-0.0416%24 Jul
cache11–130.0631%24 Jul
inferno13–60.0626%24 Jul
nuke13–70.0821%24 Jul
anubis4–13-0.0127%24 Jul
cache13–30.2421%24 Jul
dust213–80.0419%24 Jul
cache10–130.0327%24 Jul
ancient14–16-0.0329%24 Jul
inferno13–70.0424%24 Jul
ancient9–130.0822%23 Jul
inferno8–130.0917%23 Jul
dust28–130.1718%23 Jul
mirage2–13-0.0115%23 Jul
dust23–130.0212%23 Jul
inferno13–90.1222%23 Jul
ancient13–100.0917%23 Jul
nuke11–130.0017%19 Jul
mirage11–13-0.0720%19 Jul
dust211–130.1321%19 Jul
anubis13–110.0527%19 Jul
nuke13–100.1718%19 Jul
inferno13–100.1316%19 Jul
dust216–13-0.0316%18 Jul
nuke13–50.0422%18 Jul
ancient8–130.1114%18 Jul
dust27–13-0.0122%18 Jul
dust213–110.1026%15 Jul
nuke12–160.0419%15 Jul
inferno8–130.0825%5 Jul
cache9–13-0.0123%3 Jul
cache13–60.0819%27 Jun
dust25–130.0120%27 Jun
ancient13–20.1822%27 Jun
vertigo11–130.1021%27 Jun
anubis10–13-0.0422%27 Jun
inferno9–130.1525%27 Jun
anubis4–130.0440%27 Jun
dust25–130.0320%27 Jun
dust24–13-0.0237%26 Jun
anubis13–40.0019%24 Jun
nuke9–13-0.0822%9 Jun
overpass10–13-0.0623%9 Jun
dust25–130.0115%7 Jun
ancient13–90.1417%30 May
dust211–130.0917%30 May
overpass7–130.0327%28 May
dust21–13-0.0614%24 May
anubis13–9-0.0230%24 May
dust29–130.0128%23 May
train4–13-0.0220%23 May
cache4–13-0.0221%23 May
cache11–130.0630%23 May
dust213–8-0.0019%23 May
dust27–130.1419%23 May
train13–70.0938%22 May
overpass8–130.0830%22 May
ancient10–13-0.0122%19 May
mirage9–13-0.0220%18 May
inferno13–30.0524%18 May
inferno4–13-0.0710%17 May
cache3–13-0.0117%16 May
anubis13–80.0314%12 May
mirage10–130.0426%11 May
dust211–30.0729%11 May
ancient13–100.0819%11 May
vertigo11–130.0615%8 May
anubis0–13-0.0238%8 May
nuke11–130.0221%7 May
ancient13–100.0621%7 May
inferno13–50.2124%7 May
ancient13–90.0316%7 May
ancient7–130.0114%6 May
anubis13–30.1628%5 May
mirage10–130.0232%5 May
ancient4–130.0325%30 Apr
cache5–13-0.0117%30 Apr
dust213–160.0127%28 Apr

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
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