CapybarA — CS2 Stats

76561199820606256[U:1:1860340528]✓ No bans

412Tracked matches50%Win rate2025Tracked since
216Hours in CS
CSDB Rating3.6 Learning
Ladder ranks via Leetify

Performance scores

Aim37
Positioning46
Utility11

0–100 skill scores via Leetify.

Recent form

COLD58402Last 10058%Win rateWTLLLLLWLL

Last 10 vs previous 10: -50pp win rate · -0.05 avg rating

Player DNA

Aim3.7
Aggression6.9
Utility1.1
Positioning4.6
Opening Duels2.5

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 72% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 640ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim3.7
Positioning4.6
Utility1.1
Mechanics4.4
Opening Duels2.5
Win Impact5.0

Composite 3.6/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time646ms+28ms
first ⅓ avg 617ms → last ⅓ avg 646ms
Headshot accuracy13.2%−2.1%
first ⅓ avg 15.2% → last ⅓ avg 13.2%

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

0.22Best rating — vertigo 9–0
131Biggest win — ancient
5Longest win streak
98In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 80% over 5dust2Weakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA22121055%0.02
ancientA1810856%0.02
trainS1510567%0.02
overpassA149564%0.03
dust2C94544%-0.00
vertigoA74357%0.05
infernoS54180%0.07
anubis43175%0.05
office32167%0.04
mirage2020%-0.05
palacio1010%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,017Lifetime kills
1.10K/D · Top 50% of tracked players
666Matches
48.5%Match win rate · Top 50% of tracked players
38.2%Headshot %
0.0%Shot accuracy
1,489MVPs
216Hours (in match)
676Bombs planted
122Bombs defused

Most-used weapons

Lifetime map wins

1,038nuke
700dust2
651train
515inferno
191vertigo
72office
43italy

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.

12.2%Headshot accuracy
32.3%Accuracy (enemy spotted)
31.2%Spray accuracy
69.9%Counter-strafing
11.0°Preaim
640msReaction time
38.9%T opening success
41.4%CT opening success
0.16Enemies flashed / flash
0.0%Flash assists
9.37HE damage / grenade
0.45Flashes / 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 12.2464% — 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 0.1645 — 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 38.8889% — below the 40% mark we flag

Spend your practice time on Dust 2

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
train13–100.0110%27 Feb
train12–120.0013%25 Feb
dust20–13-0.0820%23 Feb
overpass14–16-0.016%23 Feb
office8–130.0612%20 Feb
mirage6–13-0.085%20 Feb
mirage11–13-0.0110%19 Feb
overpass13–60.0612%19 Feb
nuke4–13-0.0714%19 Feb
nuke9–130.025%19 Feb
anubis13–110.009%19 Feb
vertigo13–70.1815%11 Feb
anubis13–90.0217%10 Feb
nuke13–110.1012%9 Feb
ancient2–130.0421%1 Jan
office13–11-0.0512%26 Dec
vertigo13–60.0614%26 Dec
nuke3–13-0.1017%23 Dec
palacio12–120.059%23 Dec
nuke13–90.0710%18 Dec
ancient8–130.0114%17 Dec
overpass11–130.0119%11 Dec
nuke13–40.018%11 Dec
vertigo13–90.0013%11 Dec
anubis6–130.0629%11 Dec
dust213–160.0610%11 Dec
overpass13–10-0.0212%3 Dec
dust213–30.0619%3 Dec
nuke14–160.0513%1 Dec
train13–8-0.046%1 Dec
ancient13–60.0122%1 Dec
nuke5–9-0.0021%26 Nov
nuke9–4-0.0411%26 Nov
inferno9–60.1228%26 Nov
nuke13–4-0.0111%21 Nov
ancient13–7-0.0218%21 Nov
overpass16–13-0.0214%21 Nov
train7–13-0.0120%21 Nov
overpass13–50.026%21 Nov
ancient13–80.079%21 Nov
inferno7–130.0115%21 Nov
ancient13–10.020%21 Nov
train13–70.059%21 Nov
train13–4-0.0213%20 Nov
ancient13–110.0415%20 Nov
nuke13–60.0223%20 Nov
ancient5–13-0.0119%20 Nov
nuke13–10.199%19 Nov
nuke13–90.0520%19 Nov
train13–2-0.022%19 Nov
train13–90.0723%19 Nov
train13–20.0823%19 Nov
nuke11–130.028%19 Nov
ancient4–130.037%19 Nov
overpass13–60.0423%19 Nov
ancient13–70.1224%19 Nov
overpass13–30.1212%18 Nov
nuke7–13-0.0813%18 Nov
dust27–13-0.0613%18 Nov
vertigo7–90.0615%18 Nov
vertigo9–00.2224%18 Nov
nuke9–50.0521%18 Nov
train11–130.0520%16 Nov
ancient13–90.0315%16 Nov
ancient4–13-0.0913%16 Nov
nuke3–130.0229%16 Nov
overpass13–90.0711%16 Nov
inferno13–40.0719%15 Nov
train4–130.0115%8 Nov
dust25–13-0.0224%8 Nov
dust25–13-0.0711%6 Nov
ancient13–110.0314%6 Nov
nuke14–160.0319%6 Nov
dust213–30.0710%4 Nov
nuke3–130.0110%29 Oct
ancient13–30.034%29 Oct
overpass13–60.1024%29 Oct
train10–130.0118%29 Oct
train13–110.0018%28 Oct
nuke13–50.0615%28 Oct
nuke13–110.0614%28 Oct
vertigo10–13-0.0911%22 Oct
vertigo8–13-0.0610%22 Oct
anubis13–50.1328%15 Oct
overpass10–13-0.048%14 Oct
overpass8–130.0216%14 Oct
inferno13–110.0317%14 Oct
train13–50.0322%14 Oct
ancient4–13-0.0613%13 Oct
inferno16–140.1114%13 Oct
train13–70.0526%13 Oct
ancient10–130.005%13 Oct
ancient12–160.019%9 Oct
dust213–5-0.0017%9 Oct
overpass13–100.0324%9 Oct
nuke16–130.0010%7 Oct
overpass5–13-0.009%7 Oct
office13–70.1121%1 Oct
dust213–60.0219%1 Oct
ancient13–80.079%1 Oct

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 →