kurt — CS2 Stats

76561198451145457[U:1:490879729]

1,249Tracked matches45%Win rate2020Tracked since
1,648Hours in CS3Hrs last 2 wks
CSDB Rating3.7 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate37.6%42.1%42.5%4.9% short
Shot accuracy10.1%12.1%10.9%0.8% short
Kill/death ratio0.880.990.990.12 short
Match win rate33.3%43.9%44.2%10.9% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkurtFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim40
Positioning50
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY42526Last 10042%Win rateLWLLWWLWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim4.0
Aggression8.7
Utility2.6
Positioning5.0
Opening Duels3.4

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 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 55% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim4.0
Positioning5.0
Utility2.6
Mechanics2.9
Opening Duels3.4
Win Impact3.3

Composite 3.7/10 (Learning), 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-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time579ms+11ms
first ⅓ avg 568ms → last ⅓ avg 579ms
Headshot accuracy12.6%−2.3%
first ⅓ avg 14.9% → last ⅓ avg 12.6%

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

0.25Best rating — office 13–4
131Biggest win — train
3Longest win streak
48In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB158753%-0.00
nukeC156940%0.01
officeC135838%0.02
dust2A116555%0.00
vertigoD93633%0.01
mirageC73443%0.02
trainA74357%0.01
overpassD62433%0.02
ancientD51420%0.01
anubisA53260%-0.02
cache31233%-0.02
warden3030%-0.05
alpine1010%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

43,261Lifetime kills
0.88K/D
2,578Matches
33.3%Match win rate
37.6%Headshot %
10.1%Shot accuracy
3,333MVPs
874Hours (in match)
2,140Bombs planted
374Bombs defused

Most-used weapons

AK-478,892
AWP5,973
P901,424
MP91,341
MAG-71,128

Lifetime map wins

3,412dust2
2,546inferno
2,522nuke
1,308vertigo
662train
639office
131italy
38lake

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

Faceit stats

Combat

22Matches
32%Win rate
0.67Avg K/D
ADR
42%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage944%0.7711.6
Dust2425%0.6310.0
Nuke250%0.7411.5
Ancient10%0.6710.0
Inferno10%0.356.0
Anubis10%0.7112.0

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.

13.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
32.8%Spray accuracy
63.2%Counter-strafing
10.5°Preaim
590msReaction time
32.8%T opening success
54.7%CT opening success
0.42Enemies flashed / flash
0.7%Flash assists
9.17HE damage / grenade
2.37Flashes / 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 13.4902% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.422 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 32.7724% — 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.

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0933%20 Aug
nuke13–110.0717%20 Aug
mirage9–13-0.028%20 Aug
ancient8–130.006%19 Aug
inferno13–40.1512%19 Aug
inferno13–5-0.0314%24 Jun
cache10–130.0311%24 Jun
inferno13–4-0.0110%24 Jun
nuke4–13-0.049%24 Jun
office8–130.0010%4 Jun
vertigo4–13-0.0329%4 Jun
vertigo13–6-0.020%4 Jun
vertigo6–5-0.010%3 Jun
anubis6–130.0313%28 May
anubis10–13-0.0510%28 May
office9–130.0218%27 May
inferno13–6-0.056%21 May
cache9–13-0.0531%21 May
nuke10–13-0.0312%20 May
office5–13-0.0321%13 May
office13–4-0.044%13 May
dust213–9-0.0313%12 May
mirage13–3-0.047%9 May
inferno1–13-0.100%9 May
cache13–9-0.0413%9 May
dust213–80.0011%15 Apr
vertigo11–13-0.086%14 Apr
nuke13–11-0.0121%8 Apr
overpass13–80.0329%12 Mar
mirage15–15-0.0018%16 Feb
warden6–13-0.0611%16 Feb
vertigo13–30.050%16 Feb
vertigo13–10-0.0213%13 Feb
train13–4-0.0111%10 Feb
office7–13-0.028%5 Feb
anubis11–5-0.0614%5 Feb
anubis13–4-0.0313%5 Feb
warden0–13-0.056%26 Jan
nuke7–130.0011%26 Jan
warden12–12-0.057%26 Jan
alpine2–13-0.0756%26 Jan
office13–80.0217%25 Jan
nuke11–130.0115%23 Jan
dust29–130.0414%23 Jan
office13–40.2514%23 Jan
dust213–90.0824%23 Jan
overpass9–130.0024%18 Jan
mirage13–90.1017%12 Jan
office12–120.0616%8 Jan
ancient9–10.1150%8 Jan
train13–10.017%3 Jan
train4–130.010%1 Jan
nuke13–10.0320%29 Dec
dust211–13-0.006%28 Dec
office13–100.0614%27 Dec
nuke13–5-0.0225%24 Dec
inferno12–12-0.063%24 Dec
office11–130.0316%24 Dec
nuke13–80.098%20 Dec
nuke4–130.1019%20 Dec
inferno13–90.0422%20 Dec
nuke3–13-0.0916%19 Dec
nuke9–130.0212%19 Dec
vertigo10–130.089%19 Dec
vertigo8–130.0411%19 Dec
vertigo8–130.0312%18 Dec
dust213–70.0316%10 Dec
nuke13–60.0724%5 Dec
nuke6–13-0.0117%5 Dec
ancient5–13-0.0214%5 Dec
office8–130.0117%5 Dec
inferno5–130.1217%5 Dec
dust213–20.0912%4 Dec
anubis13–70.0112%28 Nov
mirage8–130.016%28 Nov
office12–12-0.0619%26 Nov
office13–100.0111%26 Nov
overpass12–120.0417%20 Nov
overpass3–130.026%20 Nov
overpass13–80.009%20 Nov
dust211–13-0.0510%20 Nov
inferno13–60.0415%7 Nov
inferno10–13-0.0113%7 Nov
train7–130.0820%6 Nov
inferno13–90.017%6 Nov
train5–130.0115%5 Nov
train13–7-0.047%5 Nov
overpass10–130.0220%3 Nov
mirage13–80.0519%3 Nov
nuke5–13-0.0513%3 Nov
dust213–11-0.0519%2 Nov
inferno11–13-0.0510%2 Nov
inferno13–60.0719%31 Oct
ancient13–160.009%30 Oct
ancient11–13-0.0219%29 Oct
train13–110.0413%29 Oct
mirage6–130.0329%29 Oct
inferno6–13-0.0319%29 Oct
dust210–13-0.0323%29 Oct
dust26–13-0.0113%28 Oct

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 →