Pain — CS2 Stats

76561198996431305[U:1:1036165577]✓ No bans

469Tracked matches69%Win rate2023Tracked since
272Hours in CS
CSDB Rating7.2 StrongEntry Fragger
Premier CS Rating17,135Purple band · top ~19.9% of ranked players (population est.)
CSDB Leaderboard#12097 of 21381 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianvs Pink band
Headshot rate50.6%48.1%above
Shot accuracy8.2%12.9%4.7% short
Kill/death ratio1.211.08above
Match win rate43.6%46.5%2.9% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGPainPREMIER17,135 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning75
Utility37

0–100 skill scores via Leetify.

Recent form

HOT55423Last 10055%Win rateWWWWLTWWWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

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

Aim8.3
Aggression10.0
Utility3.7
Positioning7.5
Opening Duels6.1

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

s1mple

Plays most like s1mple 88% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; 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

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 66% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 615ms 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

Aim8.3
Positioning7.5
Utility3.7
Mechanics6.9
Opening Duels6.1
Win Impact10.0

Composite 7.2/10 (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 rating0.04+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time626ms−34ms
first ⅓ avg 660ms → last ⅓ avg 626ms
Headshot accuracy22.7%−2.4%
first ⅓ avg 25.1% → last ⅓ avg 22.7%

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

0.16Best rating — ancient 13–6
130Biggest win — cache
8Longest win streak
W4Current streak
69In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 76% over 17mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
ancientB179853%0.05
infernoS1713476%0.05
nukeA1710759%0.05
anubisB126650%0.02
mirageD81713%-0.00
cacheB63350%0.03
dust2S64267%0.03
vertigoB63350%0.02
office42250%0.01
overpass31233%0.03
shelter220100%0.02
fachwerk110100%-0.04
train1010%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,229Lifetime kills
1.21K/D · Top 25% of tracked players
842Matches
43.6%Match win rate
50.6%Headshot % · Top 50% of tracked players
8.2%Shot accuracy
1,979MVPs
272Hours (in match)
338Bombs planted
190Bombs defused

Most-used weapons

Lifetime map wins

1,134nuke
973inferno
743vertigo
643dust2
80train
47office
9lake

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
38.9%Accuracy (enemy spotted)
42.5%Spray accuracy
81.1%Counter-strafing
8.9°Preaim
615msReaction time
42.7%T opening success
65.8%CT opening success
0.50Enemies flashed / flash
5.7%Flash assists
6.73HE damage / grenade
6.40Flashes / match

Recommended for you

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.

13% 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
office13–10-0.0115%22 Jul
cache13–110.0919%22 Jul
ancient13–100.0722%22 Jul
inferno13–100.0724%20 Jul
cache9–13-0.0425%18 Jul
anubis15–150.0720%17 Jul
inferno13–80.0620%17 Jul
dust213–30.0942%17 Jul
dust213–50.0221%15 Jul
ancient13–70.1628%15 Jul
inferno13–80.1122%14 Jul
fachwerk13–8-0.0423%14 Jul
anubis13–30.0218%12 Jul
cache13–00.0729%12 Jul
ancient14–16-0.0719%11 Jul
mirage8–13-0.0523%11 Jul
inferno13–30.1317%11 Jul
ancient5–130.0319%11 Jul
shelter13–5-0.0028%10 Jul
cache13–160.0120%10 Jul
shelter13–70.0423%9 Jul
vertigo13–8-0.0227%4 Jul
nuke9–130.0117%4 Jul
mirage7–130.0513%3 Jul
nuke13–100.1325%3 Jul
nuke13–30.1430%1 Jul
nuke11–130.0617%26 Jun
inferno13–60.0728%26 Jun
office7–130.0416%24 Jun
anubis13–80.0823%24 Jun
vertigo6–130.0026%23 Jun
dust213–20.0930%23 Jun
anubis13–10-0.0521%23 Jun
mirage7–13-0.0630%23 Jun
vertigo8–13-0.0318%22 Jun
train9–13-0.0326%19 Jun
office13–90.0623%19 Jun
vertigo13–90.0219%17 Jun
cache10–130.0627%17 Jun
ancient13–20.0832%16 Jun
mirage11–130.0325%16 Jun
overpass4–130.0533%12 Jun
anubis6–13-0.0524%12 Jun
ancient13–60.1639%12 Jun
overpass11–13-0.0123%11 Jun
ancient15–150.0518%11 Jun
inferno13–60.0723%11 Jun
inferno16–12-0.0117%9 Jun
anubis13–50.029%9 Jun
ancient13–70.028%3 Jun
inferno11–130.0831%3 Jun
vertigo11–130.0415%3 Jun
inferno13–60.0320%27 May
dust213–30.0415%27 May
mirage9–13-0.0214%22 May
ancient9–130.0316%21 May
cache13–9-0.0124%20 May
anubis8–130.0915%19 May
ancient7–130.0117%18 May
ancient13–60.0515%18 May
anubis9–130.0315%6 May
inferno11–130.0622%27 Apr
anubis11–130.0216%27 Apr
vertigo13–70.0924%24 Apr
inferno13–30.1129%24 Apr
overpass13–20.0526%14 Apr
nuke5–130.0217%14 Apr
nuke13–110.016%13 Apr
inferno13–6-0.0720%13 Apr
ancient5–130.0125%12 Apr
nuke16–130.1332%11 Apr
ancient13–160.0618%11 Apr
nuke13–110.1015%11 Apr
ancient13–60.1028%8 Apr
nuke8–13-0.0221%8 Apr
nuke13–160.0314%7 Apr
ancient15–150.0921%7 Apr
nuke13–7-0.0126%7 Apr
nuke9–13-0.075%5 Apr
mirage13–30.0625%5 Apr
inferno16–14-0.0219%3 Apr
office6–13-0.0438%2 Apr
mirage8–13-0.0141%2 Apr
ancient16–130.0620%1 Apr
nuke6–130.0520%31 Mar
inferno13–50.0628%31 Mar
ancient13–110.0128%29 Mar
mirage10–13-0.0117%29 Mar
anubis13–1-0.0120%28 Mar
dust25–130.0437%28 Mar
nuke13–11-0.0120%28 Mar
anubis13–80.0627%27 Mar
inferno10–130.0223%27 Mar
nuke13–40.0638%27 Mar
anubis11–13-0.0116%27 Mar
dust25–13-0.0829%27 Mar
inferno8–00.1075%26 Mar
nuke13–100.0828%26 Mar
inferno2–13-0.0228%26 Mar
nuke13–90.1021%25 Mar

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 →