▲pk backthrow▽

▲pk backthrow▽ — CS2 Stats

US76561198141682247[U:1:181416519]Steam profile ↗

872Tracked matches62%Win rate2020Tracked since
2,441Hours in CS
CSDB Rating4.1 Developing
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim34
Positioning33
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY58411Last 10058%Win rateWWLWTWLWLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim3.4
Aggression1.4
Utility5.5
Positioning3.3
Opening Duels0.0
Clutch0.0

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 70% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

Strengths

Flashes. 0.89 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 647ms 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

Aim3.4
Positioning3.3
Utility5.5
Mechanics4.9
Opening Duels0.0
Win Impact9.0

Composite 4.1/10 (Developing), 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 rating-0.06−0.03
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time634ms−13ms
first ⅓ avg 647ms → last ⅓ avg 634ms
Headshot accuracy11.7%−2.1%
first ⅓ avg 13.8% → last ⅓ avg 11.7%

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

0.05Best rating — mirage 13–2
132Biggest win — mirage
14Longest win streak
W2Current streak
98In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 76% over 34ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS3426876%-0.04
dust2B1991047%-0.03
infernoA1811761%-0.07
anubisC125742%-0.04
ancientD71614%-0.06
trainS64267%-0.06
nuke21150%-0.09
cache110100%-0.08
vertigo1010%-0.28

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,178Lifetime kills
0.79K/D
5,097Matches
40.4%Match win rate
27.1%Headshot %
15.6%Shot accuracy · Top 25% of tracked players
9,464MVPs
2,441Hours (in match)
7,909Bombs planted
1,158Bombs defused

Most-used weapons

AWP15,699
AK-4714,848
Nova3,984
P2502,822
Knife2,139
Tec-92,094

Lifetime map wins

23,410dust2
4,252inferno
1,110cbble
631nuke
564train
525vertigo
296office
253lake

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

Faceit stats

Combat

85Matches
52%Win rate
0.65Avg K/D
56.7ADR
30%Headshot %

Clutches & streaks

15%1v1 clutch win
5%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1457%0.6510.6
Anubis1040%0.6112.6
Dust2944%0.7310.8
Ancient50%0.397.6
Train333%0.427.3
Nuke333%0.488.3
Inferno250%0.609.5
Cache1100%0.294.0

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.

12.5%Headshot accuracy
27.0%Accuracy (enemy spotted)
27.2%Spray accuracy
72.0%Counter-strafing
8.8°Preaim
647msReaction time
16.6%T opening success
30.0%CT opening success
0.89Enemies flashed / flash
10.3%Flash assists
12.47HE damage / grenade
6.69Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.5121% — below the 15% mark we flag

    Aim Training
  2. 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 16.6146% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–3-0.035%2 Aug
mirage13–9-0.049%2 Aug
mirage9–13-0.0513%19 Jul
cache13–5-0.089%25 May
dust215–15-0.0711%15 Apr
mirage13–11-0.0510%12 Apr
dust211–13-0.038%12 Apr
mirage16–13-0.0717%31 Mar
mirage8–13-0.140%2 Mar
mirage13–7-0.0618%2 Feb
mirage13–11-0.0517%2 Feb
ancient7–13-0.118%31 Jan
inferno13–6-0.0614%31 Jan
mirage7–13-0.0715%23 Jan
dust25–13-0.0326%23 Jan
dust213–3-0.047%23 Jan
mirage13–7-0.006%22 Jan
ancient9–13-0.089%2 Nov
mirage13–6-0.0210%2 Nov
dust213–8-0.0019%2 Nov
mirage9–30.0013%2 Nov
inferno10–13-0.0612%14 Aug
dust216–14-0.0120%30 Jul
train13–6-0.0411%28 Jul
mirage9–13-0.0617%26 Jul
inferno13–9-0.0610%19 Jul
inferno0–9-0.330%18 Jul
vertigo1–9-0.2810%18 Jul
inferno9–7-0.037%18 Jul
inferno9–13-0.0313%11 Jul
dust213–7-0.0420%10 Jul
dust213–16-0.0713%2 Jul
inferno13–5-0.0311%26 Jun
anubis11–130.028%26 Jun
mirage1–13-0.0823%26 Jun
dust29–13-0.034%26 Jun
mirage13–8-0.0722%22 Jun
dust213–8-0.059%20 Jun
anubis13–8-0.057%20 Jun
mirage13–110.0116%14 Jun
anubis10–13-0.076%14 Jun
dust213–70.024%9 Jun
dust27–13-0.0321%9 Jun
train13–7-0.115%9 Jun
mirage6–13-0.080%8 Jun
train7–13-0.125%31 May
dust213–16-0.069%31 May
inferno13–8-0.0111%29 May
mirage13–10-0.013%29 May
anubis7–13-0.070%28 May
nuke3–13-0.126%28 May
anubis16–13-0.0010%27 May
ancient11–13-0.043%27 May
mirage9–13-0.076%27 May
ancient11–13-0.0613%27 May
anubis6–13-0.0316%27 May
dust213–90.0117%27 May
train11–13-0.0716%26 May
nuke13–11-0.0612%26 May
dust210–13-0.0830%26 May
anubis22–18-0.0519%25 May
inferno13–8-0.039%25 May
dust213–110.0215%25 May
ancient14–16-0.0714%25 May
train13–10-0.039%25 May
mirage6–13-0.0811%25 May
anubis4–13-0.0510%25 May
mirage13–80.055%25 May
mirage13–9-0.0511%24 May
inferno10–13-0.036%24 May
anubis14–16-0.0711%24 May
dust216–14-0.0620%24 May
ancient6–13-0.0417%24 May
inferno13–5-0.0318%23 May
mirage13–8-0.0718%23 May
mirage13–5-0.0429%23 May
inferno9–7-0.037%21 May
inferno9–3-0.0867%21 May
anubis13–7-0.0810%21 May
mirage13–10-0.073%20 May
mirage13–6-0.0319%20 May
mirage13–8-0.0318%20 May
ancient13–7-0.016%20 May
anubis13–8-0.0113%20 May
inferno13–8-0.0020%18 May
mirage13–40.0114%18 May
mirage13–100.0118%17 May
anubis15–19-0.0513%16 May
mirage13–8-0.009%16 May
mirage12–7-0.0319%15 May
inferno7–13-0.099%15 May
inferno1–13-0.165%14 May
train13–80.0413%13 May
mirage13–9-0.036%13 May
dust22–13-0.104%13 May
inferno13–9-0.036%13 May
dust211–130.0320%13 May
mirage13–20.056%9 May
inferno8–13-0.098%9 May
mirage13–8-0.0610%9 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →