Tony Ja — CS2 Stats

76561198073594584[U:1:113328856]

1,269Tracked matches50%Win rate2023Tracked since
CSDB Rating4.1 DevelopingClutch Specialist
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTony JaFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim47
Positioning44
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY45496Last 10045%Win rateLWLLLWWWLW

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim4.7
Aggression3.9
Utility4.2
Positioning4.4
Opening Duels0.1
Clutch8.0

Reliable in 1v1s

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 74% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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. 641ms 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

Aim4.7
Positioning4.4
Utility4.2
Mechanics4.2
Opening Duels0.1
Win Impact5.0

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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time644ms−75ms
first ⅓ avg 720ms → last ⅓ avg 644ms
Headshot accuracy13.3%−2.5%
first ⅓ avg 15.8% → last ⅓ avg 13.3%

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 — dust2 13–3
130Biggest win — mirage
6Longest win streak
66In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 64% over 11cacheWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C44192543%0.01
cacheC1661038%0.00
nukeB168850%0.01
mirageA117464%0.01
overpass41325%-0.01
vertigo31233%0.04
inferno21150%-0.02
ancient21150%-0.01
anubis1010%-0.03
train110100%0.04

Across the last 100 tracked matches.

Faceit stats

Combat

18Matches
33%Win rate
0.86Avg K/D
67.2ADR
37%Headshot %

Clutches & streaks

60%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.8613.5
Dust2250%1.1614.5
Inferno20%0.7210.0
Anubis10%0.377.0

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
36.7%Accuracy (enemy spotted)
37.2%Spray accuracy
68.7%Counter-strafing
11.9°Preaim
641msReaction time
29.7%T opening success
31.0%CT opening success
0.56Enemies flashed / flash
3.3%Flash assists
8.92HE damage / grenade
5.29Flashes / 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 13.5499% — 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 29.6692% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.038%30 Aug
mirage13–10-0.078%29 Aug
mirage11–130.0114%29 Aug
mirage3–13-0.0311%29 Aug
cache8–13-0.0710%29 Aug
mirage13–70.0522%29 Aug
dust213–30.0113%29 Aug
dust216–13-0.0212%28 Aug
dust29–130.0111%27 Aug
nuke13–11-0.0913%27 Aug
nuke13–10.0423%27 Aug
dust213–10-0.0020%27 Aug
dust28–130.0220%27 Aug
dust25–13-0.068%26 Aug
mirage13–20.045%25 Aug
nuke6–130.0514%25 Aug
nuke13–60.065%25 Aug
cache11–130.0416%25 Aug
nuke9–130.0222%24 Aug
dust213–90.0627%24 Aug
dust213–70.0221%24 Aug
cache8–130.049%23 Aug
mirage13–70.0121%22 Aug
dust29–130.039%22 Aug
dust213–9-0.0410%21 Aug
dust26–13-0.045%19 Aug
dust26–130.0211%15 Aug
nuke13–70.1310%27 Jul
dust27–130.0514%26 Jul
dust213–40.027%21 Jul
nuke9–130.0012%28 Jun
train13–100.0411%28 Jun
dust23–13-0.0316%27 Jun
dust210–130.0215%24 Jun
dust212–120.0320%21 Jun
dust213–100.0218%13 Jun
mirage13–00.0644%12 Jun
nuke13–90.0115%11 Jun
nuke11–13-0.0617%11 Jun
mirage6–13-0.056%8 Jun
vertigo13–90.1028%7 Jun
cache7–13-0.0834%6 Jun
nuke8–13-0.0513%6 Jun
cache7–13-0.0712%6 Jun
nuke13–6-0.0212%5 Jun
mirage13–110.0415%25 May
cache8–130.0617%24 May
cache13–40.0414%24 May
inferno9–13-0.016%24 May
nuke13–10.0933%24 May
vertigo3–13-0.0016%23 May
cache8–130.0418%21 May
dust213–20.000%20 May
dust24–130.0315%20 May
dust23–13-0.0618%19 May
cache13–70.0519%19 May
dust26–130.0211%18 May
dust26–130.0123%18 May
cache11–130.0420%18 May
cache10–130.0322%17 May
cache13–100.0316%17 May
dust26–13-0.0912%11 May
cache13–110.029%11 May
dust27–13-0.0113%9 May
cache6–1-0.050%8 May
cache13–50.0026%6 May
cache5–13-0.0912%5 May
overpass12–12-0.0416%22 Apr
dust213–110.0117%12 Apr
overpass9–13-0.0414%3 Apr
dust213–11-0.0425%20 Mar
nuke10–13-0.0713%10 Mar
dust28–13-0.0117%7 Mar
mirage10–13-0.019%7 Mar
inferno13–11-0.0416%7 Mar
dust29–130.0413%7 Mar
dust28–90.0124%6 Mar
vertigo12–120.0110%6 Mar
dust213–60.0415%6 Mar
dust27–130.0412%3 Mar
dust212–12-0.0813%26 Feb
dust211–13-0.0618%23 Feb
ancient7–13-0.0211%22 Feb
nuke13–20.0419%22 Feb
dust213–30.1811%21 Feb
dust213–80.0121%17 Feb
dust213–10.0619%16 Feb
mirage13–30.0425%15 Feb
dust213–90.0213%15 Feb
dust21–13-0.1018%15 Feb
dust213–5-0.0124%15 Feb
nuke9–13-0.0114%15 Feb
nuke3–100.0313%15 Feb
dust212–120.0320%12 Feb
dust28–13-0.0017%9 Feb
overpass13–30.009%9 Feb
ancient13–80.0115%9 Feb
dust213–4-0.0015%8 Feb
overpass12–120.0311%31 Jan
dust213–50.1012%30 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 →