✪ TGrad — CS2 Stats

76561198141203360[U:1:180937632]

960Tracked matches57%Win rate2020Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating13,222Blue band · top ~37.8% of ranked players (population est.)
CSDB Leaderboard#22058 of 32876 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG✪ TGradFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER13,222 · Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning46
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateWWLWWLWLLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.2
Aggression6.3
Utility6.4
Positioning4.6
Opening Duels2.0

Effective flashes

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-fight frequency, opening-duel success.

Where you differ: 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 636ms 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

Aim6.2
Positioning4.6
Utility6.4
Mechanics7.9
Opening Duels2.0
Win Impact7.2

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time643ms−14ms
first ⅓ avg 657ms → last ⅓ avg 643ms
Headshot accuracy13.6%−0.2%
first ⅓ avg 13.8% → last ⅓ avg 13.6%

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

0.16Best rating — anubis 13–1
131Biggest win — mirage
8Longest win streak
W2Current streak
127In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 60% over 10infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
ancientA2112957%-0.00
dust2C167944%0.00
nukeB136746%0.02
anubisC114736%0.00
mirageA106460%-0.00
infernoD82625%-0.02
cacheB63350%-0.02
overpassA53260%0.01
office41325%-0.05
train330100%0.01
vertigo21150%-0.02
alpine1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

22Matches
59%Win rate
0.91Avg K/D
ADR
32%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWL

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.

13.8%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.1%Spray accuracy
85.5%Counter-strafing
10.2°Preaim
636msReaction time
34.8%T opening success
41.0%CT opening success
0.75Enemies flashed / flash
9.9%Flash assists
11.41HE damage / grenade
9.18Flashes / 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 13.8243% — 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 34.7647% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–110.0115%24 Aug
ancient13–100.0118%23 Aug
dust21–8-0.0431%23 Aug
ancient13–110.0010%23 Aug
inferno13–90.0126%22 Aug
nuke0–13-0.039%22 Aug
ancient13–9-0.0115%22 Aug
dust211–13-0.0710%9 Aug
mirage7–13-0.1110%8 Aug
anubis10–13-0.0214%8 Aug
mirage13–11-0.0213%28 Jul
cache3–13-0.0311%28 Jul
cache13–10-0.0416%21 Jul
cache13–110.0115%21 Jul
ancient13–110.0313%17 Jul
ancient9–13-0.037%13 Jul
dust213–50.0211%12 Jul
nuke8–130.0012%12 Jul
cache6–13-0.0317%12 Jul
inferno9–13-0.0315%12 Jul
anubis8–13-0.0612%12 Jul
nuke11–13-0.0223%11 Jul
inferno13–10-0.0613%11 Jul
dust29–13-0.062%10 Jul
dust213–70.0113%10 Jul
cache13–90.0214%10 Jul
ancient13–11-0.0217%6 Jul
dust213–110.0211%5 Jul
ancient13–60.028%5 Jul
overpass13–90.0422%5 Jul
nuke13–16-0.0413%3 Jul
mirage10–130.0110%3 Jul
overpass6–13-0.048%3 Jul
dust28–13-0.0216%3 Jul
ancient7–13-0.0424%2 Jul
anubis13–7-0.014%2 Jul
nuke13–20.1112%2 Jul
inferno4–13-0.0412%1 Jul
ancient13–20.099%1 Jul
ancient3–13-0.044%30 Jun
anubis14–160.039%30 Jun
ancient0–6-0.0914%30 Jun
dust211–130.0116%28 Jun
ancient13–100.0420%28 Jun
ancient12–16-0.0411%28 Jun
overpass13–40.064%28 Jun
dust210–0-0.026%28 Jun
dust213–40.1115%27 Jun
mirage7–13-0.055%27 Jun
nuke16–120.0212%27 Jun
ancient6–13-0.0213%26 Jun
nuke13–110.0118%26 Jun
nuke10–13-0.0712%26 Jun
dust26–13-0.0111%26 Jun
dust29–130.099%26 Jun
ancient13–50.0211%26 Jun
dust27–13-0.0010%26 Jun
inferno11–13-0.0518%26 Jun
mirage13–10.109%25 Jun
mirage13–7-0.037%24 Jun
overpass13–70.0310%24 Jun
anubis4–13-0.0116%15 Jun
ancient13–110.018%15 Jun
ancient6–13-0.0514%14 Jun
nuke13–60.1211%14 Jun
anubis13–10.1618%14 Jun
nuke13–20.1314%14 Jun
ancient13–60.1311%8 Jun
dust25–130.0110%8 Jun
cache2–13-0.0514%8 May
anubis13–60.048%5 Apr
anubis3–13-0.0623%5 Apr
anubis10–13-0.0521%5 Apr
nuke13–70.0312%29 Mar
vertigo6–13-0.0210%29 Mar
office13–8-0.0819%22 Mar
ancient9–13-0.0114%15 Mar
mirage13–70.0510%15 Mar
dust213–11-0.016%15 Mar
nuke11–130.0314%15 Mar
overpass6–13-0.0418%8 Mar
mirage6–13-0.0214%8 Mar
inferno6–13-0.0311%8 Mar
mirage13–9-0.007%8 Mar
dust211–40.0131%8 Mar
mirage13–20.053%8 Mar
train13–5-0.0612%1 Mar
train2–20.0329%1 Mar
train13–100.0517%1 Mar
anubis13–110.0118%22 Feb
vertigo13–9-0.0211%15 Feb
anubis12–12-0.0117%7 Feb
office5–13-0.0518%1 Feb
alpine2–13-0.048%1 Feb
inferno14–160.0315%26 Jan
ancient9–13-0.0811%26 Jan
office8–130.0012%25 Jan
office12–12-0.0713%25 Jan
nuke5–13-0.0212%25 Jan
inferno15–150.0112%11 Jan

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →