PELLE

PELLE — CS2 Stats

FI76561198187072435[U:1:226806707]Steam profile ↗✓ No bans

2,083Tracked matches36%Win rate2020Tracked since
CSDB Rating7.5 StrongOpening Duellist
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+7Tracked matches · now 2,083
−4.6ppWin rate · 40.9% → 36.4%

Rating over time

Premier CS Rating: 28,310 +589 29 May – 24 Jun · 11 days played
27,34528,845peak 28,84529 May24 Jun
29,088Peak Premier in tracked matches
28Days played since 2026-05-29

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

Share this profile

CSDB.GGPELLEFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim95
Positioning71
Utility66

0–100 skill scores via Leetify.

Recent form

COLD48–43–9Last 10048%Win rateLLLLLLWTLT

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +0.4pp headshot accuracy · −30ms reaction

Win rate down 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

  • 0–5 · 0% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 27%
  • Avg reaction 522ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 25%
  • Avg reaction 500ms

Last 20

  • 4–12–4 · 20% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 25%
  • Avg reaction 515ms

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 (+2.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim9.5
Utility6.6
Positioning7.1
Opening Duels9.5
Clutch3.6

Sharp aimerEffective flashes

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

m0NESY

Plays most like m0NESY 80% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: higher 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 95 — the mechanical foundation is a clear strength.

CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 67% T opening-duel success — entries that actually open the round.

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

Aim9.5
Positioning7.1
Utility6.6
Mechanics8.3
Opening Duels9.6
Win Impact0.5

Composite 7.5/10 (Strong), 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 rating0.12+0.07
first ⅓ avg 0.05 → last ⅓ avg 0.12
Reaction time512ms−31ms
first ⅓ avg 543ms → last ⅓ avg 512ms
Headshot accuracy27.4%+1.5%
first ⅓ avg 26.0% → last ⅓ avg 27.4%

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

0.30Best match rating · 13–0 · inferno, 3 Sept →
51%Best headshot accuracy · 13–5 · nuke, 3 Sept →
383msFastest reaction time · 7–13 · inferno, 10 Jun →
13–0Biggest win · inferno, 3 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L6Current streak
11–2In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 67% over 21ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
anubisS2114–767%0.06
nukeB2010–1050%0.08
infernoC187–1139%0.06
cacheC135–838%0.08
ancientD124–833%0.08
dust2A74–357%0.03
vertigo—41–325%0.14
overpass—32–167%0.07
mirage—21–150%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,564Matches
54%Win rate
1.15Avg K/D
91.6ADR
54%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2255%1.1917.5
Nuke2148%1.1116.7
Ancient1267%1.3521.3
Dust21155%1.0718.2
Inferno1030%1.1316.2
Mirage1030%1.1818.7
Cache580%1.3520.6
Vertigo20%1.2019.0

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.

26.9%Headshot accuracy
39.8%Accuracy (enemy spotted)
43.8%Spray accuracy
87.4%Counter-strafing
7.8°Preaim
511msReaction time
66.5%T opening success
70.6%CT opening success
0.71Enemies flashed / flash
9.4%Flash assists
6.71HE damage / grenade
6.99Flashes / 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–130.0438%11 Oct →
cache8–130.1628%11 Sept →
anubis3–130.0327%11 Sept →
anubis8–130.1021%10 Sept →
cache6–130.0222%10 Sept →
vertigo7–130.1617%10 Sept →
nuke13–80.0926%10 Sept →
vertigo12–120.1022%9 Sept →
nuke3–130.0829%8 Sept →
cache12–120.1024%8 Sept →
nuke3–130.0526%7 Sept →
vertigo8–130.1231%7 Sept →
inferno13–70.1716%7 Sept →
cache12–120.1027%7 Sept →
anubis11–130.0621%6 Sept →
inferno12–120.0318%6 Sept →
ancient13–90.1823%6 Sept →
cache3–13-0.0327%6 Sept →
cache13–100.1224%5 Sept →
nuke4–130.1037%5 Sept →
anubis13–60.1630%5 Sept →
ancient12–120.2724%5 Sept →
vertigo13–80.1928%5 Sept →
ancient12–120.0927%3 Sept →
ancient12–120.1329%3 Sept →
nuke13–50.1751%3 Sept →
cache4–130.0928%3 Sept →
inferno13–00.3033%3 Sept →
anubis12–120.1129%3 Sept →
nuke10–130.1534%31 Aug →
cache13–80.2635%31 Aug →
nuke6–130.1231%29 Aug →
inferno10–130.1222%29 Aug →
cache9–130.1020%29 Aug →
inferno9–13-0.0023%28 Aug →
cache6–60.1132%28 Aug →
nuke13–40.1232%28 Aug →
anubis13–110.1422%28 Aug →
anubis13–90.0325%13 Aug →
cache13–9-0.0418%13 Aug →
nuke13–60.0730%13 Aug →
cache13–40.0514%13 Aug →
inferno7–130.0622%14 Jul →
dust213–40.0223%14 Jul →
ancient13–110.1831%14 Jul →
nuke13–3-0.0122%14 Jul →
anubis13–7-0.0033%14 Jul →
anubis13–100.0417%6 Jul →
nuke4–130.0327%6 Jul →
anubis13–110.0529%5 Jul →
nuke2–130.0432%2 Jul →
dust225–230.0428%2 Jul →
ancient9–13-0.0123%2 Jul →
anubis13–70.0317%2 Jul →
nuke13–70.0830%2 Jul →
ancient6–130.0027%2 Jul →
nuke13–50.1229%24 Jun →
anubis13–40.1426%24 Jun →
cache3–130.0122%24 Jun →
inferno4–130.0228%24 Jun →
anubis5–130.0733%23 Jun →
inferno13–110.0826%23 Jun →
nuke13–110.0230%10 Jun →
dust213–80.0521%10 Jun →
overpass6–13-0.0426%10 Jun →
nuke9–13-0.0119%10 Jun →
inferno7–130.0133%10 Jun →
anubis13–10-0.027%10 Jun →
inferno9–13-0.0316%8 Jun →
mirage13–50.0524%8 Jun →
anubis13–90.0720%8 Jun →
inferno13–30.1428%8 Jun →
nuke11–130.1425%7 Jun →
inferno13–70.0325%7 Jun →
mirage5–130.0520%7 Jun →
dust213–110.0725%7 Jun →
anubis2–00.020%7 Jun →
ancient13–110.0428%7 Jun →
anubis8–130.0227%7 Jun →
ancient6–13-0.0131%7 Jun →
nuke7–130.0128%7 Jun →
anubis16–140.0624%7 Jun →
inferno7–13-0.0227%7 Jun →
inferno5–13-0.0417%5 Jun →
ancient8–130.0227%5 Jun →
overpass13–100.0822%3 Jun →
nuke13–40.1531%3 Jun →
nuke6–00.2045%2 Jun →
inferno15–150.0319%2 Jun →
ancient7–130.0424%2 Jun →
anubis13–30.0945%1 Jun →
inferno10–130.1218%31 May →
dust22–13-0.0337%31 May →
anubis5–130.0129%31 May →
inferno13–60.0442%31 May →
dust27–130.0533%29 May →
ancient13–100.0730%29 May →
inferno13–50.0834%29 May →
overpass13–70.1623%29 May →
anubis13–7-0.0127%29 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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