♚PrOFf♚

♚PrOFf♚ — CS2 Stats

GE76561198801346354[U:1:841080626]Steam profile ↗

712Tracked matches62%Win rate2024Tracked since
982Hours in CS
CSDB Rating4.9 Developing
Premier CS Rating10,616Blue band · top ~51.6% of ranked players (population est.)
CSDB Leaderboard#20928 of 29085 tracked
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate43.9%41.7%44.1%meets
Shot accuracy0.7%8.8%11.4%10.7% short
Kill/death ratio1.050.971.03meets
Match win rate44.4%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

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CSDB.GG♚PrOFf♚PREMIER10,616 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning50
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY55423Last 10055%Win rateWLLTWWLLWW

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

Player DNA

Aim5.1
Aggression7.3
Utility5.2
Positioning5.0
Opening Duels2.8
Clutch2.2

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

b1t

Plays most like b1t 86% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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 52% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms 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

Aim5.1
Positioning5.0
Utility5.2
Mechanics4.2
Opening Duels2.8
Win Impact9.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time641ms−46ms
first ⅓ avg 687ms → last ⅓ avg 641ms
Headshot accuracy16.0%−0.4%
first ⅓ avg 16.4% → last ⅓ avg 16.0%

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

0.12Best rating — ancient 10–13
131Biggest win — nuke
5Longest win streak
98In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 70% over 10ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA27151256%-0.01
dust2A2415963%-0.01
infernoB168850%-0.02
anubisB136746%-0.03
nukeS107370%0.02
ancientD61517%0.03
cache21150%-0.00
overpass220100%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,971Lifetime kills
1.05K/D · Top 50% of Blue band
2,665Matches
44.4%Match win rate · Top 50% of Blue band
43.9%Headshot % · Top 50% of Blue band
0.7%Shot accuracy
5,210MVPs
982Hours (in match)
962Bombs planted
640Bombs defused

Most-used weapons

AK-4712,695
AWP9,280
SSG 083,678
MP9620
P90582
Knife544

Lifetime map wins

5,716inferno
4,141dust2
2,140nuke
1,966vertigo
246office
155train
110cbble
100italy

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

Faceit stats

Combat

154Matches
45%Win rate
0.91Avg K/D
76.6ADR
42%Headshot %

Clutches & streaks

31%1v1 clutch win
9%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5159%0.9615.3
Dust23327%0.9115.4
Anubis2952%0.8213.1
Inferno1638%0.8615.1
Ancient1338%0.9012.4
Vertigo743%0.8512.3
Nuke450%1.248.5
Overpass10%1.1121.0

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.

15.8%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.4%Spray accuracy
68.9%Counter-strafing
9.0°Preaim
649msReaction time
30.3%T opening success
52.1%CT opening success
0.66Enemies flashed / flash
5.4%Flash assists
8.88HE damage / grenade
13.10Flashes / 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 30.3227% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0629%28 Aug
nuke11–130.0021%28 Aug
mirage8–13-0.046%28 Aug
dust215–15-0.039%28 Aug
nuke13–10.0733%28 Aug
mirage13–11-0.0210%28 Aug
inferno0–9-0.2322%28 Aug
dust29–13-0.0130%28 Aug
dust213–5-0.0113%27 Aug
inferno13–60.0116%27 Aug
anubis7–13-0.036%27 Aug
anubis11–13-0.057%27 Aug
dust213–10-0.0124%25 Aug
dust213–60.0329%25 Aug
inferno13–100.0411%23 Aug
dust213–11-0.0419%22 Aug
mirage13–80.0617%21 Aug
dust213–16-0.0519%21 Aug
nuke13–30.0117%21 Aug
anubis2–13-0.1211%21 Aug
mirage13–6-0.0412%21 Aug
dust213–110.0210%21 Aug
mirage13–10-0.0117%20 Aug
dust213–30.0325%20 Aug
nuke9–130.0323%20 Aug
dust213–20.055%18 Aug
inferno11–13-0.087%18 Aug
inferno13–11-0.036%15 Aug
mirage13–8-0.0227%15 Aug
cache10–13-0.0416%15 Aug
dust29–13-0.1011%15 Aug
dust216–140.0417%15 Aug
mirage11–130.076%15 Aug
mirage14–16-0.063%15 Aug
mirage6–13-0.053%9 Aug
mirage13–10-0.0027%9 Aug
nuke13–110.0318%9 Aug
ancient5–13-0.0315%8 Aug
inferno9–13-0.1011%8 Aug
anubis4–13-0.0629%29 Jul
inferno13–9-0.058%29 Jul
mirage7–130.0040%27 Jul
dust216–12-0.0423%26 Jul
inferno5–13-0.0216%26 Jul
mirage13–5-0.0510%25 Jul
anubis11–13-0.047%25 Jul
anubis13–100.0421%25 Jul
mirage13–11-0.0518%25 Jul
nuke13–90.0525%24 Jul
dust210–13-0.0136%24 Jul
anubis13–6-0.0315%24 Jul
ancient4–130.0412%24 Jul
anubis13–70.0511%18 Jul
ancient8–130.0227%17 Jul
dust213–3-0.0518%17 Jul
dust215–15-0.0114%17 Jul
mirage9–13-0.0521%16 Jul
ancient11–13-0.0428%14 Jul
mirage16–140.0518%13 Jul
cache13–40.0313%10 Jul
ancient10–130.1224%5 Jul
overpass16–120.0313%5 Jul
inferno13–100.0415%5 Jul
mirage13–40.038%5 Jul
inferno11–130.0417%4 Jul
mirage10–13-0.019%4 Jul
anubis8–13-0.0621%4 Jul
inferno9–13-0.0220%4 Jul
inferno13–30.007%2 Jul
mirage6–13-0.0721%1 Jul
mirage13–7-0.0113%1 Jul
inferno6–130.0116%1 Jul
anubis13–10-0.0119%26 Jun
inferno13–50.0218%24 Jun
dust213–8-0.0912%17 May
overpass13–7-0.069%17 May
dust213–70.0620%17 May
mirage8–13-0.0317%16 May
nuke13–40.0315%15 May
mirage13–5-0.0726%15 May
mirage12–16-0.0420%14 May
dust213–11-0.0312%13 May
mirage13–80.0624%11 May
anubis13–100.0414%11 May
inferno15–150.0414%9 May
nuke13–80.0926%8 May
mirage8–130.009%8 May
nuke13–100.0114%8 May
mirage5–20.0930%7 May
dust213–60.1216%7 May
mirage4–13-0.019%6 May
dust26–13-0.0321%5 May
mirage13–100.009%4 May
anubis13–10-0.0112%4 May
nuke5–13-0.0616%2 May
anubis6–13-0.0613%22 Apr
dust26–13-0.093%12 Apr
ancient13–50.0619%11 Apr
dust213–70.0332%10 Apr
dust27–13-0.0217%5 Apr

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 →