SirLongOnionBag

SirLongOnionBag — CS2 Stats

76561198028460777[U:1:68195049]Steam profile ↗✓ No bans

426Tracked matches36%Win rate2022Tracked since
1,391Hours in CS3Hrs last 2 wks
CSDB Rating2.2 Learning
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim22
Positioning17
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY30646Last 10030%Win rateWLLLLWWLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim2.2
Aggression0.0
Utility2.8
Positioning1.7
Opening Duels0.0
Clutch1.0

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

NiKo

Plays most like NiKo 53% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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

Areas to improve

Reaction time. 707ms 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

Aim2.2
Positioning1.7
Utility2.8
Mechanics4.8
Opening Duels0.0
Win Impact0.2

Composite 2.2/10 (Learning), 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 rating-0.08−0.03
first ⅓ avg -0.05 → last ⅓ avg -0.08
Reaction time702ms−35ms
first ⅓ avg 737ms → last ⅓ avg 702ms
Headshot accuracy16.9%+3.0%
first ⅓ avg 13.8% → last ⅓ avg 16.9%

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

0.05Best rating — inferno 9–4
132Biggest win — inferno
4Longest win streak
17In matches decided by ≤2 rounds

Map breakdown

grailBest map · 40% over 5mirageWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C34132138%-0.05
infernoD2891932%-0.07
cacheD1551033%-0.08
mirageD8080%-0.06
vertigoD51420%-0.05
grailC52340%-0.04
ancient2020%-0.05
train1010%-0.09
basalt1010%-0.12
office1010%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,955Lifetime kills
1.12K/D · Top 50% of tracked players
3,883Matches
31.5%Match win rate
32.5%Headshot %
20.0%Shot accuracy · Top 5% of tracked players
2,488MVPs
914Hours (in match)
937Bombs planted
221Bombs defused

Most-used weapons

AK-479,188
AUG5,466
SG 5533,624
P903,506
MP71,350
AWP1,123

Lifetime map wins

2,426inferno
2,080dust2
1,480vertigo
1,011cbble
679nuke
564office
346train
224italy

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

Faceit stats

Combat

17Matches
12%Win rate
0.34Avg K/D
50.1ADR
47%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo250%0.427.0
Anubis20%0.264.0
Ancient20%0.7212.5
Mirage10%0.5811.0
Dust210%0.336.0

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.

16.1%Headshot accuracy
25.4%Accuracy (enemy spotted)
21.0%Spray accuracy
71.5%Counter-strafing
10.4°Preaim
707msReaction time
20.7%T opening success
16.1%CT opening success
0.52Enemies flashed / flash
6.2%Flash assists
0.10HE damage / grenade
3.81Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 707.3814ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8093 — below the 4 mark we flag

    Grenade Lineups
  3. 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 20.6605% — below the 40% mark we flag

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 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.1224%26 Aug
vertigo2–13-0.0529%23 Aug
dust25–13-0.0718%23 Aug
vertigo8–13-0.0814%23 Aug
cache7–13-0.0928%9 Aug
cache13–80.0121%8 Aug
cache13–3-0.0621%8 Aug
cache4–13-0.0711%19 Jul
inferno13–10-0.0824%19 Jul
dust210–13-0.068%19 Jul
cache8–13-0.100%8 Jul
cache2–13-0.084%1 Jul
inferno11–13-0.0819%1 Jul
dust212–12-0.0816%1 Jul
inferno6–13-0.1016%25 Jun
inferno8–13-0.0812%24 Jun
cache13–4-0.0425%23 Jun
inferno9–13-0.103%23 Jun
cache12–12-0.1012%22 Jun
dust213–8-0.058%22 Jun
dust25–130.0016%22 Jun
cache9–13-0.1119%21 Jun
ancient8–13-0.0520%21 Jun
cache5–13-0.119%18 Jun
vertigo4–13-0.0919%18 Jun
cache6–13-0.1120%17 Jun
cache13–10-0.0517%17 Jun
cache13–9-0.0918%17 Jun
inferno13–10-0.0417%15 Jun
inferno13–2-0.0819%15 Jun
dust20–13-0.1117%15 Jun
dust24–13-0.1031%8 Jun
inferno13–7-0.0722%8 Jun
inferno8–13-0.0631%8 Jun
inferno9–13-0.107%4 Jun
cache2–13-0.1414%3 Jun
inferno13–8-0.0521%3 Jun
inferno10–13-0.0416%26 May
cache9–13-0.0933%26 May
ancient2–13-0.0412%30 Sept
inferno12–12-0.1410%29 Sept
dust25–13-0.0824%29 Sept
dust213–10-0.0218%13 Jul
dust27–13-0.1016%13 Jul
grail3–13-0.0911%21 May
train2–13-0.095%21 May
grail13–8-0.0713%18 May
dust213–70.0317%18 May
inferno6–13-0.0624%18 May
grail8–13-0.0414%13 May
grail5–13-0.0120%12 May
grail13–6-0.0020%8 May
inferno12–12-0.057%29 Apr
dust212–12-0.0516%29 Apr
inferno6–13-0.099%25 Mar
mirage4–13-0.076%13 Mar
inferno13–80.009%23 Feb
dust213–11-0.080%23 Feb
dust21–13-0.1214%29 Jan
dust211–13-0.0316%26 Jan
mirage7–13-0.067%26 Jan
dust210–13-0.0312%26 Dec
dust213–7-0.0613%20 Dec
inferno5–13-0.0715%20 Dec
mirage7–13-0.0630%18 Dec
inferno2–13-0.090%16 Dec
mirage10–13-0.089%16 Dec
dust28–13-0.0611%16 Dec
vertigo5–13-0.044%14 Dec
dust21–13-0.0122%14 Dec
dust28–13-0.0416%10 Dec
dust213–6-0.0118%10 Dec
dust213–8-0.099%9 Dec
dust213–5-0.0510%9 Dec
mirage11–13-0.0910%4 Dec
dust211–13-0.0322%2 Dec
inferno0–50.0220%28 Nov
dust28–13-0.0617%28 Nov
inferno9–40.0516%28 Nov
dust24–13-0.0516%24 Nov
inferno2–8-0.120%24 Nov
basalt3–13-0.1213%21 Nov
dust29–1-0.0122%12 Nov
inferno11–13-0.0715%11 Nov
dust213–10-0.0918%10 Nov
office11–13-0.0115%10 Nov
dust24–130.0416%9 Nov
dust213–8-0.0516%9 Nov
vertigo13–60.0015%9 Nov
inferno1–13-0.1114%9 Nov
mirage12–12-0.078%9 Nov
dust213–10-0.0110%9 Nov
inferno3–13-0.099%9 Nov
inferno13–6-0.0115%9 Nov
dust213–9-0.0219%9 Nov
mirage7–130.019%9 Nov
dust27–13-0.0912%9 Nov
inferno11–13-0.0817%9 Nov
mirage7–13-0.086%9 Nov
dust22–13-0.1117%9 Nov

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →