pearlflicker

pearlflicker — CS2 Stats

76561198165334197[U:1:205068469]Steam profile ↗

120Tracked matches60%Win rate2021Tracked since
316Hours in CS
CSDB Rating6.7 SolidAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim84
Positioning57
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY55432Last 10055%Win rateWWLWWLLLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.4
Aggression6.7
Utility4.8
Positioning5.7
Opening Duels2.6

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 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower 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

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. 598ms 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

Aim8.4
Positioning5.7
Utility4.8
Mechanics7.9
Opening Duels2.6
Win Impact8.3

Composite 6.7/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time612ms−46ms
first ⅓ avg 658ms → last ⅓ avg 612ms
Headshot accuracy22.4%−1.2%
first ⅓ avg 23.6% → last ⅓ avg 22.4%

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.

Highlights

0.19Best rating — dust2 13–1
130Biggest win — overpass
7Longest win streak
W2Current streak
55In matches decided by ≤2 rounds
35Overtime games

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A27161159%0.02
mirageS2114767%0.02
infernoD1551033%-0.00
ancientD113827%0.01
cacheA95456%0.01
overpassB84450%0.02
nukeS54180%-0.01
anubis330100%-0.00
train110100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,763Lifetime kills
1.54K/D · Top 5% of tracked players
686Matches
51.6%Match win rate · Top 25% of tracked players
44.1%Headshot %
16.4%Shot accuracy · Top 25% of tracked players
1,953MVPs
316Hours (in match)
753Bombs planted
213Bombs defused

Most-used weapons

Lifetime map wins

5,425dust2
499inferno
75nuke
51office
45train
5cbble
2italy
1assault

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

Skill profile

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

22.0%Headshot accuracy
36.5%Accuracy (enemy spotted)
41.8%Spray accuracy
85.5%Counter-strafing
8.7°Preaim
598msReaction time
36.0%T opening success
45.2%CT opening success
0.52Enemies flashed / flash
4.0%Flash assists
7.80HE damage / grenade
7.88Flashes / 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. 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 35.9887% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0116%24 Jul
mirage13–40.0841%24 Jul
mirage13–16-0.0420%16 Jul
anubis13–90.0219%16 Jul
cache13–80.0425%16 Jul
ancient10–13-0.0219%15 Jul
mirage10–130.0519%15 Jul
dust23–13-0.0846%15 Jul
anubis16–140.0313%1 Jul
inferno10–13-0.0415%1 Jul
ancient9–13-0.0011%22 Jun
mirage13–10-0.0414%22 Jun
inferno7–13-0.0310%19 Jun
dust213–110.0324%19 Jun
dust213–90.0329%18 Jun
mirage14–160.0221%12 Jun
overpass13–80.0315%11 Jun
dust28–130.0231%9 Jun
ancient12–160.0424%8 Jun
ancient13–11-0.0124%7 Jun
dust213–70.0422%6 Jun
ancient13–90.1125%5 Jun
ancient2–13-0.0836%2 Jun
anubis13–9-0.0623%31 May
inferno9–130.0633%31 May
mirage13–50.1125%30 May
dust213–9-0.0619%30 May
dust213–20.1124%30 May
nuke13–9-0.0223%30 May
mirage13–80.0616%30 May
overpass13–8-0.0218%30 May
inferno13–70.0217%26 May
dust28–130.0425%25 May
nuke13–7-0.0035%25 May
inferno13–50.1013%25 May
dust213–50.0722%25 May
mirage13–40.0920%25 May
dust210–13-0.0324%24 May
dust216–130.0022%21 May
mirage13–60.0624%21 May
dust213–10.1940%20 May
overpass13–90.0216%20 May
inferno13–60.0216%20 May
nuke8–13-0.0829%20 May
inferno13–60.0524%20 May
dust213–70.0327%20 May
ancient11–130.0228%19 May
overpass14–16-0.0224%19 May
ancient13–100.0324%19 May
nuke13–80.0528%19 May
ancient15–150.0219%19 May
dust27–13-0.0318%18 May
overpass13–00.0627%18 May
inferno15–150.0632%18 May
dust26–13-0.0326%16 May
dust213–100.0217%16 May
nuke13–10-0.0026%16 May
inferno2–13-0.0622%14 May
overpass2–130.0140%13 May
ancient7–130.0316%12 May
dust213–6-0.0618%12 May
inferno8–13-0.0816%12 May
dust213–60.0636%14 Apr
dust27–130.0027%14 Apr
mirage13–16-0.0422%10 Apr
inferno8–130.0222%10 Apr
mirage10–13-0.0423%29 Mar
overpass2–130.0745%29 Mar
mirage13–80.0524%27 Mar
overpass11–130.0023%27 Mar
inferno3–13-0.1213%10 May
train13–50.0535%10 May
ancient7–13-0.0121%10 May
mirage4–13-0.0363%10 May
cache7–16-0.0417%3 Jun
dust216–90.0331%3 Jun
mirage16–13-0.0319%23 May
mirage16–40.0733%17 May
cache5–16-0.0324%2 May
dust210–16-0.0320%2 May
cache12–160.0620%1 May
mirage6–160.0329%1 May
cache10–160.0320%29 Apr
mirage16–9-0.0319%29 Apr
dust216–90.0524%27 Apr
dust216–110.0215%26 Apr
dust26–16-0.0118%18 Apr
mirage16–130.0111%18 Apr
mirage16–14-0.0415%14 Apr
cache16–80.0222%14 Apr
dust27–16-0.0526%14 Apr
inferno9–16-0.0014%14 Apr
dust212–160.0320%20 Mar
inferno16–11-0.0315%20 Mar
mirage16–140.0121%12 Mar
cache16–11-0.0824%12 Mar
inferno14–16-0.0221%28 Feb
dust216–90.1227%26 Feb
cache16–100.0733%26 Feb
mirage16–70.0018%20 Feb

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 →