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-TNT-_ — CS2 Stats

76561198401255764[U:1:440990036]

3,511Tracked matches53%Win rate2021Tracked since
CSDB Rating6.0 Solid
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG-TNT-_FACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning62
Utility76

0–100 skill scores via Leetify.

Recent form

STEADY43–57Last 10043%Win rateWWWLLWLWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim5.3
Aggression7.5
Utility7.6
Positioning6.2
Opening Duels3.4

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 88% playstyle similarity

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

Where you differ: higher 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Reaction time. 621ms 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

Aim5.3
Positioning6.2
Utility7.6
Mechanics7.0
Opening Duels3.4
Win Impact6.1

Composite 6.0/10 (Solid), 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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time625ms−22ms
first ⅓ avg 647ms → last ⅓ avg 625ms
Headshot accuracy19.1%−2.6%
first ⅓ avg 21.7% → last ⅓ avg 19.1%

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

0.09Best rating — dust2 6–7
13–1Biggest win — inferno
4Longest win streak
W3Current streak
10–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 60% over 5mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA3319–1458%0.01
ancientB2512–1348%-0.01
anubisD173–1418%-0.02
nukeC135–838%-0.03
dust2A53–260%-0.00
mirageD50–50%-0.03
train—21–150%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.6%Headshot accuracy
29.9%Accuracy (enemy spotted)
31.2%Spray accuracy
81.5%Counter-strafing
11.5°Preaim
621msReaction time
37.4%T opening success
49.5%CT opening success
0.68Enemies flashed / flash
4.8%Flash assists
5.38HE damage / grenade
9.71Flashes / 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. 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 37.436% — below the 40% mark we flag

Spend your practice time on Mirage

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0128%15 Jun →
nuke13–6-0.0332%15 Jun →
inferno19–160.0312%14 Jun →
inferno11–130.0518%14 Jun →
anubis9–13-0.0327%14 Jun →
ancient13–50.0821%8 Jun →
inferno10–130.0114%8 Jun →
ancient13–50.0423%8 Jun →
inferno5–13-0.0810%7 Jun →
ancient13–7-0.0114%7 Jun →
ancient6–13-0.0318%6 Jun →
ancient5–13-0.1016%5 Jun →
anubis10–13-0.0417%3 Jun →
dust213–100.0219%3 Jun →
ancient13–110.0223%3 Jun →
anubis10–130.0230%2 Jun →
inferno13–60.0520%2 Jun →
anubis9–13-0.0413%1 Jun →
inferno11–13-0.0225%31 May →
inferno13–8-0.0120%29 May →
ancient13–40.0214%28 May →
anubis13–60.0817%27 May →
ancient13–11-0.0626%27 May →
anubis11–13-0.0316%26 May →
mirage11–13-0.057%26 May →
ancient11–13-0.0722%25 May →
inferno13–40.0120%25 May →
inferno22–180.0127%24 May →
nuke13–110.0018%22 May →
nuke4–13-0.0921%21 May →
inferno13–110.0520%20 May →
anubis8–13-0.0514%18 May →
inferno13–90.019%17 May →
mirage10–13-0.0510%11 May →
anubis7–13-0.0910%11 May →
ancient4–130.0844%11 May →
ancient9–13-0.0125%10 May →
ancient14–16-0.0317%8 May →
mirage6–13-0.0012%7 May →
anubis10–13-0.0022%7 May →
nuke17–19-0.0112%5 May →
dust26–70.0925%3 May →
inferno13–110.0016%26 Apr →
inferno13–90.0925%26 Apr →
inferno16–140.0415%25 Apr →
ancient4–13-0.0616%19 Apr →
anubis7–13-0.0020%19 Apr →
ancient13–90.0215%13 Apr →
nuke13–11-0.0127%12 Apr →
ancient13–100.0330%11 Apr →
inferno8–13-0.0231%11 Apr →
ancient13–9-0.0318%11 Apr →
nuke13–10-0.0016%8 Apr →
anubis5–13-0.0110%8 Apr →
ancient13–10-0.0121%6 Apr →
inferno13–110.0323%5 Apr →
inferno13–1-0.016%2 Apr →
anubis5–13-0.0330%2 Apr →
nuke9–13-0.0219%30 Mar →
nuke8–13-0.0329%30 Mar →
anubis13–80.0118%29 Mar →
nuke16–130.0426%23 Mar →
inferno13–30.0916%23 Mar →
inferno8–13-0.0216%23 Mar →
inferno14–16-0.0221%19 Mar →
inferno13–6-0.0024%18 Mar →
nuke6–13-0.0523%18 Mar →
inferno5–13-0.0424%18 Mar →
inferno9–130.0434%15 Mar →
anubis13–11-0.0222%15 Mar →
nuke13–16-0.0114%15 Mar →
inferno9–13-0.0111%13 Mar →
ancient13–7-0.0327%13 Mar →
inferno7–13-0.0420%13 Mar →
nuke7–13-0.0513%10 Mar →
mirage20–22-0.0219%9 Mar →
anubis10–130.0312%8 Mar →
inferno13–160.0420%7 Mar →
ancient10–13-0.0814%7 Mar →
inferno13–70.0230%6 Mar →
train13–80.0224%5 Mar →
ancient10–130.0539%4 Mar →
ancient8–13-0.0219%3 Mar →
train4–130.0131%2 Mar →
nuke6–13-0.0933%1 Mar →
inferno7–13-0.0718%23 Feb →
ancient14–160.0428%22 Feb →
inferno13–40.0726%20 Feb →
ancient11–13-0.0117%20 Feb →
anubis7–13-0.0213%16 Feb →
ancient6–13-0.0417%15 Feb →
dust213–11-0.0514%15 Feb →
inferno5–13-0.0239%15 Feb →
dust213–10-0.0720%15 Feb →
inferno13–30.0620%15 Feb →
ancient13–7-0.0013%14 Feb →
dust214–160.0027%13 Feb →
mirage9–13-0.0321%12 Feb →
inferno13–70.0621%12 Feb →
anubis5–13-0.0715%12 Feb →

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 →

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