Tone — CS2 Stats

76561198248377204[U:1:288111476]

1,344Tracked matches52%Win rate2020Tracked since
CSDB Rating5.5 SolidAggressive Rifler
FaceitLevel 7 · 1,411 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGToneFACEITLevel 7 · 1,411 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY49447Last 10049%Win rateLTWWLLLWWL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

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

Aim7.4
Aggression6.8
Utility5.2
Positioning4.8
Opening Duels2.6
Clutch4.4

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 641ms 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

Aim7.4
Positioning4.8
Utility5.2
Mechanics8.1
Opening Duels3.6
Win Impact5.6

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time634ms−39ms
first ⅓ avg 673ms → last ⅓ avg 634ms
Headshot accuracy19.4%+0.2%
first ⅓ avg 19.2% → last ⅓ avg 19.4%

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

0.23Best rating — train 13–4
130Biggest win — mirage
5Longest win streak
710In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 67% over 9dust2Weakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB30151550%0.01
dust2D1861233%-0.00
infernoB157847%-0.01
nukeS96367%0.03
cacheA74357%0.02
overpassC73443%0.04
ancientS64267%0.00
anubisC52340%-0.01
train32167%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,435Matches
51%Win rate
1.07Avg K/D
75.2ADR
38%Headshot %

Clutches & streaks

42%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4749%1.1115.3
Ancient2540%1.0314.7
Inferno2564%1.0515.8
Dust22348%1.0916.4
Nuke1283%1.3216.2
Overpass1060%1.0714.5
Cache967%0.9312.4
Anubis667%1.2417.0

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.

20.0%Headshot accuracy
34.5%Accuracy (enemy spotted)
39.2%Spray accuracy
86.4%Counter-strafing
9.7°Preaim
641msReaction time
22.8%T opening success
58.4%CT opening success
0.50Enemies flashed / flash
5.5%Flash assists
6.91HE damage / grenade
15.66Flashes / 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. 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 0.4968 — below the 0.5 mark we flag

    Grenade Lineups
  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 22.7511% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0417%25 Aug
mirage15–15-0.0818%29 Jul
cache13–60.0433%29 Jul
dust213–11-0.0319%13 Jul
inferno3–13-0.033%20 Jun
dust28–130.0523%20 Jun
dust28–13-0.0224%16 Jun
mirage13–90.0233%15 Jun
dust213–110.0430%9 Jun
dust23–13-0.1317%3 Jun
nuke14–160.0115%2 Jun
inferno8–130.0417%2 Jun
cache13–30.099%25 May
mirage13–30.0616%25 May
dust27–13-0.029%18 May
cache12–120.0032%12 May
mirage12–120.0617%12 May
nuke13–50.0619%8 May
mirage5–13-0.0519%5 May
cache13–8-0.0521%4 May
cache10–130.0615%30 Apr
cache13–110.015%30 Apr
inferno13–6-0.0325%29 Apr
cache3–13-0.0414%28 Apr
mirage13–7-0.0214%26 Apr
dust28–13-0.0223%25 Apr
ancient13–9-0.0215%24 Apr
mirage13–11-0.0325%24 Apr
nuke7–13-0.0326%22 Apr
inferno13–90.0137%20 Apr
dust213–50.0711%19 Apr
nuke13–90.1320%3 Apr
ancient11–13-0.0417%29 Mar
nuke13–7-0.0522%27 Mar
mirage13–10-0.0215%25 Mar
dust25–13-0.0312%24 Mar
mirage15–15-0.0219%24 Mar
inferno13–100.0115%22 Mar
mirage13–00.1215%22 Mar
dust212–120.0231%19 Mar
anubis16–13-0.0219%14 Mar
inferno8–13-0.0421%12 Mar
ancient13–80.0728%11 Mar
inferno13–10-0.0225%11 Mar
nuke13–80.1121%4 Mar
mirage13–60.0338%4 Mar
ancient13–11-0.0020%4 Mar
dust23–13-0.0913%20 Feb
anubis13–9-0.0215%20 Feb
dust213–5-0.065%19 Feb
mirage13–11-0.0424%19 Feb
anubis14–16-0.0223%19 Feb
dust211–130.076%18 Feb
mirage13–80.0219%18 Feb
train13–7-0.0327%18 Feb
ancient9–13-0.0016%18 Feb
mirage14–160.0520%17 Feb
overpass13–70.0919%17 Feb
mirage11–13-0.029%17 Feb
mirage14–16-0.0114%1 Feb
mirage13–50.0318%30 Jan
dust213–1-0.0114%30 Jan
inferno13–60.0520%27 Jan
ancient13–70.0323%27 Jan
dust23–13-0.0221%24 Jan
anubis8–13-0.0429%22 Jan
nuke9–13-0.0015%20 Jan
nuke13–70.0217%19 Jan
mirage13–70.1121%19 Jan
dust215–150.0221%18 Jan
overpass13–160.0311%18 Jan
inferno16–140.0618%18 Jan
mirage11–13-0.0314%18 Jan
train13–40.2329%16 Jan
inferno13–10-0.009%16 Jan
overpass8–10.0722%16 Jan
overpass11–13-0.057%15 Jan
dust213–40.0518%15 Jan
nuke13–7-0.0126%15 Jan
anubis8–130.0620%12 Jan
overpass13–80.1513%7 Jan
mirage15–150.1013%7 Jan
overpass8–130.0120%7 Jan
mirage13–6-0.0319%7 Jan
mirage9–13-0.0510%6 Jan
inferno7–13-0.0810%6 Jan
mirage13–2-0.0329%3 Jan
dust28–130.0224%3 Jan
inferno6–130.0227%2 Jan
inferno9–130.0218%31 Dec
mirage11–13-0.0318%27 Dec
mirage10–13-0.0538%10 Dec
mirage13–60.1025%9 Dec
overpass10–130.0125%7 Dec
train10–130.0220%7 Dec
mirage7–13-0.0217%5 Dec
mirage7–13-0.0122%4 Dec
mirage13–20.0823%3 Dec
inferno9–13-0.0511%3 Dec
mirage10–13-0.0223%3 Dec

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 →