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gERT — CS2 Stats

76561198120617504[U:1:160351776]

1,237Tracked matches48%Win rate2021Tracked since
1,026Hours in CS
CSDB Rating5.4 Developing
Ladder ranks via Leetify

Performance scores

Aim56
Positioning54
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWLLLWWWLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Aim5.6
Aggression8.3
Utility4.3
Positioning5.4
Opening Duels4.2

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

ropz

Plays most like ropz 86% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 58% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 734ms 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

Aim5.6
Positioning5.4
Utility4.3
Mechanics7.4
Opening Duels4.2
Win Impact4.4

Composite 5.4/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time739ms+57ms
first ⅓ avg 682ms → last ⅓ avg 739ms
Headshot accuracy16.1%+1.9%
first ⅓ avg 14.1% → last ⅓ avg 16.1%

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

0.18Best rating — nuke 13–4
13–2Biggest win — mirage
5Longest win streak
W2Current streak
7–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC2911–1838%-0.00
dust2B2312–1152%-0.01
nukeA159–660%0.01
overpassC104–640%0.01
ancientA85–363%0.01
anubisB63–350%0.02
infernoD62–433%-0.02
cache—33–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,823Lifetime kills
0.94K/D
3,020Matches
41.7%Match win rate
43.8%Headshot %
13.2%Shot accuracy · Top 50% of tracked players
5,717MVPs
1,026Hours (in match)
2,427Bombs planted
519Bombs defused

Most-used weapons

AK-4710,672
M4A4 / M4A1-S7,915
AWP4,986
P2000 / USP-S3,234
SSG 082,007
Desert Eagle1,868
Glock-181,733
Galil AR1,340
FAMAS1,259
P2501,191

Lifetime map wins

7,629dust2
1,715nuke
1,214vertigo
1,129inferno
124lake
84train
75office
67cbble

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

Faceit stats

Combat

27Matches
52%Win rate
1.06Avg K/D
—ADR
51%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo667%1.2316.0
Mirage633%1.0616.3
Anubis367%0.579.0
Nuke333%1.3126.0
Overpass250%0.9017.5
Ancient250%1.0015.5
Inferno1100%1.8018.0

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.

15.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.5%Spray accuracy
83.3%Counter-strafing
9.9°Preaim
734msReaction time
35.7%T opening success
57.5%CT opening success
0.61Enemies flashed / flash
9.5%Flash assists
13.32HE damage / grenade
4.49Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 734.4631ms — above the 700ms 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 35.7149% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–120.049%13 Aug →
dust213–70.0014%12 Aug →
dust25–80.0421%8 Aug →
mirage9–130.0011%7 Aug →
ancient11–13-0.0214%26 Jul →
cache13–100.0117%7 Jul →
cache13–80.0324%29 Apr →
cache13–110.0212%29 Apr →
mirage11–13-0.0515%8 Mar →
anubis9–130.0815%8 Mar →
mirage9–13-0.0614%8 Mar →
nuke15–15-0.0513%23 Feb →
dust213–8-0.1020%23 Feb →
overpass5–13-0.0017%23 Feb →
dust213–80.138%23 Feb →
mirage13–110.0517%23 Feb →
dust213–11-0.0018%21 Feb →
overpass7–130.0118%21 Feb →
inferno3–13-0.0518%21 Feb →
mirage13–6-0.0615%21 Feb →
dust212–16-0.0223%21 Feb →
mirage8–130.0515%20 Feb →
nuke13–3-0.0512%15 Feb →
mirage13–80.0427%15 Feb →
overpass6–130.0414%15 Feb →
nuke11–13-0.0116%15 Feb →
mirage13–90.0513%15 Feb →
dust29–13-0.0312%13 Feb →
nuke13–8-0.0211%13 Feb →
mirage8–130.0014%12 Feb →
nuke5–13-0.0223%12 Feb →
nuke13–80.0212%12 Feb →
dust27–130.0226%12 Feb →
inferno13–5-0.0217%12 Feb →
dust211–13-0.027%12 Feb →
anubis0–3-0.030%12 Feb →
mirage2–13-0.0116%12 Feb →
dust213–110.0018%12 Feb →
mirage16–120.0110%12 Feb →
dust213–160.0012%11 Feb →
inferno1–13-0.025%11 Feb →
ancient13–7-0.0015%11 Feb →
dust26–13-0.0319%11 Feb →
mirage9–13-0.0411%10 Feb →
overpass13–90.0615%10 Feb →
nuke13–70.1016%10 Feb →
dust213–60.1118%9 Feb →
ancient13–8-0.0212%9 Feb →
nuke13–11-0.0214%9 Feb →
dust210–130.0217%9 Feb →
mirage13–40.0316%9 Feb →
overpass5–13-0.0410%9 Feb →
dust216–140.0116%5 Feb →
overpass5–13-0.088%4 Feb →
mirage11–13-0.048%2 Feb →
ancient3–13-0.017%2 Feb →
nuke1–13-0.0417%2 Feb →
ancient11–130.0925%2 Feb →
mirage13–7-0.0512%2 Feb →
nuke13–80.1022%2 Feb →
ancient13–4-0.0227%1 Feb →
nuke13–10-0.048%1 Feb →
mirage9–130.0111%1 Feb →
mirage13–10-0.0116%1 Feb →
mirage5–13-0.0913%31 Jan →
mirage13–20.0918%31 Jan →
ancient13–60.0434%31 Jan →
dust213–9-0.0614%28 Jan →
mirage8–13-0.0217%27 Jan →
anubis13–60.0711%26 Jan →
anubis9–130.0216%26 Jan →
dust215–15-0.0016%26 Jan →
mirage9–13-0.0710%26 Jan →
overpass13–80.1316%26 Jan →
nuke13–40.1820%26 Jan →
dust213–7-0.0212%26 Jan →
inferno11–13-0.0412%26 Jan →
mirage8–13-0.018%26 Jan →
dust29–13-0.0420%25 Jan →
mirage2–13-0.0114%25 Jan →
inferno4–13-0.066%25 Jan →
nuke9–130.0420%25 Jan →
nuke13–10-0.0116%25 Jan →
dust213–100.0111%25 Jan →
anubis13–100.0114%24 Jan →
ancient13–9-0.007%24 Jan →
overpass13–8-0.007%24 Jan →
mirage15–15-0.0316%22 Jan →
dust213–100.0217%22 Jan →
dust213–8-0.0711%21 Jan →
overpass8–130.0416%21 Jan →
mirage12–120.0516%20 Jan →
mirage3–13-0.0314%18 Jan →
mirage10–13-0.0123%18 Jan →
inferno13–50.0615%17 Jan →
mirage16–120.0214%17 Jan →
anubis13–9-0.0218%15 Jan →
nuke14–160.0311%15 Jan →
dust22–13-0.0818%14 Jan →
overpass13–11-0.0512%11 Jan →

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 →

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