Tony

Tony — CS2 Stats

76561198165193846[U:1:204928118]Steam profile ↗

3,249Tracked matches59%Win rate2020Tracked since
CSDB Rating7.4 StrongAggressive Rifler
FaceitLevel 10 · 3,631 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTonyFACEITLevel 10 · 3,631 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim90
Positioning67
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY62353Last 10062%Win rateLLLLWWLLWW

Last 10 vs previous 10: -40pp win rate · -0.07 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim9.0
Aggression8.4
Utility5.3
Positioning6.7
Opening Duels4.4
Clutch4.6

Sharp aimer

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

b1t

Plays most like b1t 95% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.0
Positioning6.7
Utility5.3
Mechanics6.8
Opening Duels4.4
Win Impact7.9

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time522ms−31ms
first ⅓ avg 554ms → last ⅓ avg 522ms
Headshot accuracy28.8%+1.1%
first ⅓ avg 27.7% → last ⅓ avg 28.8%

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

0.17Best rating — mirage 5–0
130Biggest win — nuke
9Longest win streak
L4Current streak
86In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 84% over 19dust2Weakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
nukeS1916384%0.05
mirageB179853%0.04
dust2B136746%0.03
overpassB126650%0.02
trainA127558%0.02
infernoS108280%0.04
anubisA74357%0.05
cacheA74357%0.05
ancient21150%0.06
fachwerk110100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,383Matches
62%Win rate
1.43Avg K/D
85.2ADR
51%Headshot %

Clutches & streaks

43%1v1 clutch win
26%1v2 clutch win
17Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke50158%1.3418.3
Anubis48165%1.4118.1
Mirage20949%1.2817.4
Inferno17754%1.3318.0
Dust217345%1.2018.0
Overpass16255%1.4018.9
Train14865%1.3417.2
Ancient8848%1.2917.7

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.

28.3%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.2%Spray accuracy
80.8%Counter-strafing
8.5°Preaim
519msReaction time
44.4%T opening success
51.0%CT opening success
0.55Enemies flashed / flash
7.9%Flash assists
12.32HE damage / grenade
5.96Flashes / match

Recommended for you

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.

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust21–13-0.0026%11 Aug
inferno3–13-0.0350%9 Aug
dust27–13-0.0219%8 Aug
inferno11–130.0439%8 Aug
mirage13–70.0421%7 Aug
nuke13–00.0019%7 Aug
mirage1–13-0.0336%7 Aug
nuke1–13-0.1219%7 Aug
anubis13–70.0133%6 Aug
dust213–8-0.0129%6 Aug
dust22–130.0739%16 Jul
nuke13–60.0134%15 Jul
mirage9–10.1244%15 Jul
cache13–10.1435%15 Jul
fachwerk13–40.0121%9 Jul
mirage13–60.1040%25 May
overpass13–100.0328%20 May
cache10–13-0.0335%11 May
inferno22–180.0526%10 May
anubis13–30.0624%9 May
cache12–12-0.0629%30 Apr
cache8–130.0228%29 Apr
cache13–110.0321%28 Apr
cache13–40.1034%28 Apr
cache13–10.1221%28 Apr
overpass11–13-0.0323%13 Apr
dust213–8-0.0419%20 Mar
inferno13–110.0720%20 Mar
anubis9–130.0033%20 Mar
mirage6–130.0129%20 Mar
anubis15–150.0819%19 Mar
inferno13–100.0831%19 Mar
dust210–13-0.0125%18 Mar
anubis0–9-0.0236%18 Mar
inferno13–7-0.0036%15 Mar
nuke13–20.0729%15 Mar
mirage13–20.0123%14 Mar
inferno13–70.0329%14 Mar
mirage13–90.1022%11 Mar
nuke13–90.0930%25 Feb
mirage5–00.1750%25 Feb
nuke13–50.1324%31 Jan
dust213–70.1032%31 Jan
dust211–130.0328%31 Jan
dust213–10.1440%31 Jan
anubis13–70.1030%31 Jan
anubis13–100.1421%27 Jan
overpass13–50.0434%21 Jan
dust29–13-0.0713%4 Jan
train13–30.1623%3 Jan
dust25–130.1028%2 Jan
nuke13–70.0713%26 Dec
nuke16–120.0335%23 Dec
mirage13–4-0.0032%23 Dec
nuke13–100.1218%16 Dec
nuke8–13-0.0035%14 Dec
nuke13–50.1024%7 Dec
train13–110.0322%6 Dec
overpass13–9-0.0014%18 Nov
mirage5–13-0.0515%3 Nov
overpass11–13-0.0328%12 Oct
train13–11-0.0518%12 Oct
nuke13–100.0817%4 Oct
mirage12–120.0527%17 Sept
mirage6–130.0428%9 Sept
overpass13–110.0313%6 Sept
nuke13–11-0.0325%4 Sept
nuke16–120.0215%30 Aug
mirage5–130.0236%27 Aug
train5–13-0.0326%22 Aug
nuke13–60.1328%17 Aug
overpass11–130.0621%16 Aug
train11–130.0732%16 Aug
train13–70.0027%15 Aug
ancient16–130.0126%14 Aug
overpass7–130.0527%14 Aug
overpass4–13-0.0023%11 Aug
overpass7–130.0322%7 Aug
mirage13–80.0924%6 Aug
nuke13–20.0547%6 Aug
overpass13–60.0725%5 Aug
mirage16–130.0632%3 Aug
dust213–10.0248%3 Aug
train6–13-0.0711%31 Jul
train13–9-0.0128%31 Jul
train5–130.0830%30 Jul
train13–30.0424%29 Jul
inferno13–30.0326%28 Jul
mirage12–16-0.0536%28 Jul
nuke13–50.0118%28 Jul
train4–13-0.0538%27 Jul
train13–70.0422%27 Jul
nuke12–160.0241%27 Jul
nuke13–110.1021%27 Jul
inferno13–7-0.0023%27 Jul
inferno13–60.1617%27 Jul
overpass13–50.0531%27 Jul
mirage8–130.0523%27 Jul
ancient7–130.1030%27 Jul
dust213–110.1235%26 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
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