Perla — CS2 Stats

76561199071065996[U:1:1110800268]

2,840Tracked matches52%Win rate2023Tracked since
2,466Hours in CS42Hrs last 2 wks
CSDB Rating4.1 Developing
Premier CS Rating7,580Light Blue band · top ~66.5% of ranked players (population est.)
CSDB Leaderboard#13543 of 17963 tracked
FaceitLevel 2 · 710 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPerlaFACEITLevel 2 · 710 ELOSTANDINGTop 97.9% of rankedPREMIER7,580 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning43
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY44551Last 10044%Win rateWWLWLLWLWL

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

Player DNA

Aim5.3
Aggression3.8
Utility5.2
Positioning4.3
Opening Duels0.6
Clutch3.8

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 81% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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 41% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.3
Positioning4.3
Utility5.2
Mechanics4.3
Opening Duels1.4
Win Impact5.6

Composite 4.1/10 (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 rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time571ms−67ms
first ⅓ avg 638ms → last ⅓ avg 571ms
Headshot accuracy15.0%−0.0%
first ⅓ avg 15.0% → last ⅓ avg 15.0%

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 — cache 13–1
131Biggest win — nuke
5Longest win streak
W2Current streak
518In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 75% over 12mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C28111739%-0.02
ancientD1961332%-0.02
anubisB168850%-0.00
nukeS129375%-0.00
infernoD103730%0.00
cacheA106460%-0.01
mirageD51420%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,789Lifetime kills
0.79K/D
3,527Matches
39.3%Match win rate
41.0%Headshot %
4.2%Shot accuracy
4,829MVPs
1,281Hours (in match)
4,475Bombs planted
732Bombs defused

Most-used weapons

AK-4713,178
MP93,740
MAC-102,030
AWP1,576
FAMAS1,103

Lifetime map wins

7,628dust2
4,538inferno
3,086nuke
2,407vertigo
288train
87cbble
46ar_shoots
36office

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

Faceit stats

Combat

451Matches
48%Win rate
0.95Avg K/D
73.8ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient9649%0.9214.9
Dust28349%0.9714.0
Anubis6850%0.9114.0
Inferno5446%1.2114.7
Nuke5155%0.8913.6
Mirage4042%0.7813.1
Vertigo3743%0.9214.9
Train757%1.0818.1

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.

15.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
39.5%Spray accuracy
69.4%Counter-strafing
12.5°Preaim
566msReaction time
23.7%T opening success
41.1%CT opening success
0.56Enemies flashed / flash
2.8%Flash assists
7.48HE damage / grenade
12.85Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5217° — above the 12° mark we flag

    Aim Training
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0415%27 Aug
inferno13–80.0221%27 Aug
ancient9–13-0.0314%27 Aug
anubis13–9-0.065%27 Aug
inferno7–130.0216%26 Aug
ancient11–13-0.0517%26 Aug
nuke13–90.0224%26 Aug
ancient11–13-0.0214%26 Aug
cache16–14-0.029%25 Aug
dust214–160.0121%25 Aug
dust215–150.0016%25 Aug
ancient13–90.0215%25 Aug
inferno11–13-0.0320%25 Aug
dust213–60.0316%25 Aug
anubis13–30.0110%25 Aug
dust214–160.0120%25 Aug
dust28–13-0.067%24 Aug
anubis13–50.0820%24 Aug
ancient11–13-0.0614%24 Aug
anubis9–130.009%24 Aug
cache5–13-0.078%24 Aug
cache11–13-0.0013%23 Aug
anubis13–10-0.0214%22 Aug
dust213–40.0516%22 Aug
inferno11–130.0517%22 Aug
dust24–13-0.0324%20 Aug
ancient13–11-0.0214%20 Aug
dust213–9-0.0214%20 Aug
dust213–7-0.0113%20 Aug
mirage13–4-0.0316%20 Aug
ancient10–130.0116%20 Aug
nuke16–130.0313%20 Aug
anubis13–20.0313%20 Aug
anubis13–70.0113%20 Aug
ancient13–70.0114%20 Aug
dust29–13-0.0618%20 Aug
nuke13–60.1113%19 Aug
ancient11–13-0.0111%19 Aug
mirage3–110.069%19 Aug
dust25–13-0.0118%19 Aug
cache13–6-0.0118%19 Aug
dust29–13-0.0411%18 Aug
nuke13–9-0.0312%18 Aug
dust213–100.0115%18 Aug
ancient13–16-0.0714%12 Aug
inferno6–13-0.0314%12 Aug
cache13–10-0.0420%12 Aug
mirage5–130.0013%12 Aug
ancient13–7-0.0223%12 Aug
dust213–10-0.0211%11 Aug
ancient1–8-0.064%11 Aug
anubis10–13-0.049%11 Aug
ancient13–9-0.0416%11 Aug
mirage11–13-0.0520%11 Aug
anubis10–130.0313%5 Aug
nuke13–10.155%5 Aug
ancient9–13-0.0616%5 Aug
anubis11–13-0.005%5 Aug
inferno13–50.0615%5 Aug
dust24–13-0.1118%5 Aug
dust213–40.0011%5 Aug
cache13–10.1711%5 Aug
nuke3–9-0.1511%5 Aug
inferno1–9-0.0414%5 Aug
dust211–13-0.0715%5 Aug
ancient11–13-0.0723%5 Aug
dust213–16-0.079%4 Aug
dust22–13-0.0611%4 Aug
anubis9–13-0.0221%30 Jul
nuke13–11-0.0118%30 Jul
ancient9–13-0.0113%30 Jul
nuke10–13-0.0110%29 Jul
cache5–13-0.0612%29 Jul
anubis4–13-0.0719%29 Jul
cache11–13-0.0220%24 Jul
nuke13–5-0.0311%22 Jul
dust213–70.0318%22 Jul
cache13–7-0.0518%22 Jul
nuke9–13-0.0525%22 Jul
anubis11–13-0.0220%17 Jul
dust213–110.0211%17 Jul
dust213–6-0.0112%16 Jul
anubis13–10.0811%16 Jul
inferno13–10.1018%16 Jul
dust213–20.0513%16 Jul
ancient7–130.0112%16 Jul
dust29–130.0316%16 Jul
dust211–13-0.0410%16 Jul
inferno9–13-0.0423%16 Jul
anubis13–9-0.0011%16 Jul
dust211–13-0.0320%15 Jul
cache13–30.0314%15 Jul
mirage7–13-0.0610%15 Jul
nuke13–8-0.0017%15 Jul
dust213–16-0.0315%15 Jul
ancient13–11-0.0311%15 Jul
anubis8–13-0.047%15 Jul
ancient9–130.0326%15 Jul
inferno0–13-0.0713%15 Jul
dust211–13-0.0911%14 Jul

Match data via Leetify.

Recent teammates

Milestones

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