Quentiyoink — CS2 Stats

76561198798625234[U:1:838359506]

999Tracked matches46%Win rate2024Tracked since
CSDB Rating4.9 DevelopingHybrid Rifler
Premier CS Rating8,941Light Blue band · top ~60% of ranked players (population est.)
CSDB Leaderboard#25360 of 34327 tracked
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGQuentiyoinkPREMIER8,941 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim70
Positioning56
Utility49

0–100 skill scores via Leetify.

Recent form

COLD48475Last 10048%Win rateLLWTLLLLLW

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.0
Aggression6.2
Utility4.9
Positioning5.6
Opening Duels3.0
Clutch4.0

Strong CT-side opener

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.0
Positioning5.6
Utility4.9
Mechanics5.2
Opening Duels3.0
Win Impact3.8

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time569ms−25ms
first ⅓ avg 594ms → last ⅓ avg 569ms
Headshot accuracy11.8%−4.6%
first ⅓ avg 16.4% → last ⅓ avg 11.8%

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

0.17Best rating — inferno 9–3
132Biggest win — mirage
5Longest win streak
L2Current streak
410In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 65% over 17anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB189950%0.02
mirageS1711665%0.03
nukeB178947%0.02
dust2C1661038%-0.01
anubisD103730%0.01
cacheA106460%0.01
ancientA74357%0.04
train2020%0.06
office1010%-0.03
vertigo110100%-0.02
overpass1010%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches
32%Win rate
0.77Avg K/D
68.5ADR
31%Headshot %

Clutches & streaks

40%1v1 clutch win
10%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage944%0.7411.9
Nuke729%0.9513.0
Anubis520%0.6610.8
Dust2425%0.7712.0
Inferno425%0.5811.0
Ancient367%0.7410.7
Train20%1.0414.5

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.

10.5%Headshot accuracy
40.5%Accuracy (enemy spotted)
40.9%Spray accuracy
73.6%Counter-strafing
9.6°Preaim
564msReaction time
31.1%T opening success
52.7%CT opening success
0.55Enemies flashed / flash
5.0%Flash assists
6.21HE damage / grenade
6.85Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.5378% — below the 15% mark we flag

    Aim Training
  2. 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 31.1002% — below the 40% mark we flag

Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–130.0710%24 Aug
mirage8–13-0.029%23 Aug
mirage13–20.0512%23 Aug
anubis15–15-0.033%23 Aug
inferno11–13-0.0112%23 Aug
nuke5–90.0024%22 Aug
ancient8–130.0415%22 Aug
nuke11–13-0.045%20 Aug
anubis11–130.037%19 Aug
inferno13–8-0.049%19 Aug
mirage10–13-0.004%19 Aug
inferno4–13-0.106%19 Aug
cache16–130.027%19 Aug
dust213–9-0.068%18 Aug
dust210–13-0.037%17 Aug
mirage13–90.0710%17 Aug
office7–13-0.0312%17 Aug
ancient9–130.0511%17 Aug
mirage13–70.026%17 Aug
nuke13–100.107%16 Aug
dust213–20.0110%15 Aug
nuke13–20.0514%15 Aug
mirage3–80.0613%15 Aug
cache12–12-0.029%14 Aug
mirage13–80.0514%14 Aug
nuke10–13-0.0517%14 Aug
nuke13–7-0.0315%14 Aug
inferno13–110.0110%14 Aug
ancient13–100.077%13 Aug
train7–130.0538%12 Aug
mirage13–90.0314%12 Aug
nuke6–130.0226%11 Aug
nuke8–13-0.0020%11 Aug
ancient13–30.068%11 Aug
inferno14–160.0410%11 Aug
inferno11–13-0.047%10 Aug
mirage13–9-0.0417%10 Aug
dust210–13-0.0617%10 Aug
dust215–150.0413%10 Aug
dust213–10-0.0220%10 Aug
anubis14–160.0614%9 Aug
inferno4–130.0116%9 Aug
mirage12–120.0314%9 Aug
dust211–13-0.0222%9 Aug
dust26–13-0.0910%9 Aug
inferno9–13-0.0124%8 Aug
nuke10–130.0118%8 Aug
inferno13–110.039%8 Aug
dust213–100.0316%8 Aug
dust213–50.0215%8 Aug
dust213–160.059%8 Aug
inferno13–20.0010%8 Aug
mirage13–40.0112%8 Aug
inferno7–130.0913%7 Aug
mirage13–100.025%7 Aug
ancient13–100.088%7 Aug
cache13–80.026%7 Aug
cache5–13-0.0311%7 Aug
anubis13–40.017%6 Aug
nuke16–120.0115%6 Aug
cache13–40.0720%6 Aug
inferno13–9-0.0110%5 Aug
nuke13–90.1112%5 Aug
inferno14–160.115%4 Aug
mirage13–20.026%4 Aug
nuke8–13-0.058%4 Aug
inferno13–110.0318%4 Aug
cache13–40.0910%4 Aug
nuke13–30.059%4 Aug
anubis12–120.0214%3 Aug
mirage13–60.0412%3 Aug
nuke7–90.0514%3 Aug
inferno9–30.1712%3 Aug
cache10–13-0.028%3 Aug
nuke13–100.006%3 Aug
mirage10–13-0.0225%3 Aug
vertigo13–10-0.0214%2 Aug
overpass2–13-0.0317%1 Aug
anubis13–110.086%1 Aug
nuke13–100.1114%1 Aug
dust213–10-0.0320%1 Aug
anubis7–13-0.0622%31 Jul
mirage13–40.1337%31 Jul
mirage8–13-0.0110%29 Jul
train6–130.0713%29 Jul
anubis9–130.0519%29 Jul
nuke13–16-0.0323%21 Jul
dust24–13-0.0017%19 Jul
cache13–70.0119%18 Jul
inferno13–60.017%18 Jul
dust210–13-0.0227%18 Jul
dust29–13-0.0120%18 Jul
ancient10–13-0.0123%17 Jul
anubis6–13-0.0118%16 Jul
inferno4–13-0.0119%16 Jul
cache13–70.0525%16 Jul
anubis13–8-0.0515%15 Jul
ancient13–5-0.0217%15 Jul
cache11–13-0.0311%15 Jul
inferno13–90.0218%15 Jul

Match data via Leetify.

Recent teammates

Milestones

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