Twink Lover — CS2 Stats

76561198044015647[U:1:83749919]✓ No bans

179Tracked matches56%Win rate2024Tracked since
CSDB Rating7.6 StrongEntry Fragger
Premier CS Rating16,627Purple band · top ~21.9% of ranked players (population est.)
CSDB Leaderboard#15095 of 26236 tracked
Ladder ranks via Leetify

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CSDB.GGTwink LoverPREMIER16,627 · Purple bandcsdb.gg/stats

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Performance scores

Aim91
Positioning72
Utility51

0–100 skill scores via Leetify.

Recent form

COLD50428Last 10050%Win rateWLLWLLLLTW

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim9.1
Aggression10.0
Utility5.1
Positioning7.2
Opening Duels6.0

Sharp aimerExcellent counter-strafing

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

s1mple

Plays most like s1mple 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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 91 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

Reaction time. 684ms 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

Aim9.1
Positioning7.2
Utility5.1
Mechanics9.2
Opening Duels6.0
Win Impact6.9

Composite 7.6/10 (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 rating0.05+0.12
first ⅓ avg -0.07 → last ⅓ avg 0.05
Reaction time685ms−32ms
first ⅓ avg 717ms → last ⅓ avg 685ms
Headshot accuracy24.6%+12.4%
first ⅓ avg 12.2% → last ⅓ avg 24.6%

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

0.19Best rating — anubis 13–10
131Biggest win — inferno
7Longest win streak
75In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 69% over 13dust2Weakest map · 35% over 37
MapGradePlayedRecordWin rateAvg rating
dust2C37132435%-0.02
infernoA1911858%0.00
mirageS139469%0.04
ancientS96367%0.01
cache42250%0.07
nuke440100%0.09
overpass42250%-0.01
train32167%0.12
anubis31233%0.03
vertigo2020%-0.12
grail1010%0.01
italy1010%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 37). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.9%Headshot accuracy
44.5%Accuracy (enemy spotted)
46.1%Spray accuracy
91.3%Counter-strafing
9.8°Preaim
684msReaction time
51.5%T opening success
56.6%CT opening success
0.60Enemies flashed / flash
5.8%Flash assists
10.20HE damage / grenade
8.13Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

35% win rate across 37 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–100.0923%30 Jun
dust24–130.0530%30 Jun
dust25–130.0432%30 Jun
inferno13–90.0126%29 Jun
cache9–130.1421%29 Jun
inferno7–130.0328%29 Jun
dust21–13-0.0512%29 Jun
dust210–130.0320%28 Jun
mirage12–120.1025%28 Jun
inferno13–50.1132%28 Jun
dust213–70.1039%28 Jun
dust212–120.0325%28 Jun
ancient4–13-0.0221%28 Jun
nuke13–70.0722%28 Jun
nuke13–70.1432%28 Jun
train13–50.1436%28 Jun
cache13–90.0829%27 Jun
inferno13–110.0821%27 Jun
cache9–13-0.0419%27 Jun
dust212–120.1436%25 Jun
dust213–70.0010%22 Dec
overpass6–130.0224%22 Dec
mirage13–70.0211%8 Dec
dust23–13-0.0717%8 Dec
mirage13–40.0619%8 Aug
mirage13–60.1333%8 Aug
mirage13–100.0321%8 Aug
overpass13–110.0017%26 Jul
dust29–130.0427%26 Jul
dust212–16-0.0034%26 Jul
dust213–110.0119%26 Jul
inferno13–40.0526%26 Jul
inferno13–90.0725%24 Jul
inferno11–130.0628%23 Jul
inferno13–60.0819%22 Jul
ancient13–30.0419%22 Jul
nuke13–100.0216%22 Jul
mirage13–100.0824%12 Jul
mirage13–50.0318%12 Jul
ancient13–5-0.0338%12 Jul
inferno13–10-0.0128%12 Jul
grail7–130.0121%6 Jul
anubis5–130.0125%9 Jun
mirage15–150.0525%9 Jun
nuke13–70.1318%9 Jun
inferno11–130.1537%9 Jun
ancient13–60.1031%9 Jun
train15–150.0831%9 Jun
mirage13–160.1030%9 Jun
dust215–150.0830%9 Jun
mirage13–40.0941%7 Jun
overpass11–130.0430%7 Jun
ancient13–110.1830%7 Jun
train13–70.1325%7 Jun
anubis13–100.1926%5 Jun
dust215–150.0931%5 Jun
dust29–13-0.0813%10 Mar
inferno4–13-0.0516%8 Mar
mirage13–110.0431%21 Feb
ancient13–70.0112%21 Feb
dust210–13-0.043%4 Nov
inferno13–7-0.050%4 Nov
inferno13–10-0.0411%29 Oct
dust213–9-0.0311%18 Oct
ancient1–13-0.090%18 Oct
dust23–13-0.130%18 Oct
dust213–6-0.045%18 Oct
dust213–5-0.0820%18 Oct
dust213–11-0.0315%18 Oct
dust213–6-0.0827%18 Oct
dust213–100.017%16 Oct
ancient13–11-0.077%16 Oct
vertigo1–13-0.1422%14 Oct
dust22–13-0.1311%11 Oct
inferno10–13-0.067%11 Oct
inferno3–13-0.1511%11 Oct
overpass13–6-0.0920%9 Oct
inferno13–1-0.090%9 Oct
inferno13–7-0.0223%9 Oct
dust213–9-0.0617%8 Oct
dust211–13-0.0514%8 Oct
dust213–10-0.0210%6 Oct
anubis4–13-0.1036%5 Oct
ancient4–13-0.058%5 Oct
dust23–13-0.130%5 Oct
vertigo7–13-0.104%5 Oct
mirage1–13-0.1413%5 Oct
dust28–13-0.088%5 Oct
dust210–13-0.0612%4 Oct
dust24–130.067%4 Oct
inferno1–13-0.100%4 Oct
dust29–13-0.0418%4 Oct
dust212–12-0.0111%4 Oct
dust210–2-0.0411%4 Oct
italy2–13-0.0415%4 Oct
mirage13–9-0.0519%4 Oct
dust20–4-0.160%4 Oct
dust213–9-0.058%4 Oct
inferno11–13-0.0810%4 Oct
dust21–13-0.0813%4 Oct

Match data via Leetify.

Recent teammates

Milestones

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