GTI — CS2 Stats

76561198391619216[U:1:431353488]✓ No bans

1,449Tracked matches34%Win rate2020Tracked since
CSDB Rating5.1 DevelopingClutch Specialist
Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#10162 of 24113 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGGTIFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim63
Positioning44
Utility64

0–100 skill scores via Leetify.

Recent form

COLD40564Last 10040%Win rateTLWWLLWLLL

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

Player DNA

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

Aim6.3
Aggression4.8
Utility6.4
Positioning4.4
Opening Duels1.2
Clutch10.0

Strong CT-side openerReliable 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 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim6.3
Positioning4.4
Utility6.4
Mechanics7.1
Opening Duels1.6
Win Impact0.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time583ms+12ms
first ⅓ avg 571ms → last ⅓ avg 583ms
Headshot accuracy16.1%−0.2%
first ⅓ avg 16.3% → last ⅓ avg 16.1%

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

0.10Best rating — mirage 13–5
132Biggest win — ancient
6Longest win streak
810In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 55% over 11anubisWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C26101638%-0.00
infernoB1910953%0.00
ancientD1861233%-0.02
anubisD1441029%-0.01
mirageA116555%0.02
nukeD62433%-0.02
cacheC52340%0.00
overpass1010%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

29Matches
41%Win rate
0.90Avg K/D
101.8ADR
35%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient10%1.0018.0
Inferno10%0.9734.0

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.

16.8%Headshot accuracy
33.4%Accuracy (enemy spotted)
33.4%Spray accuracy
81.7%Counter-strafing
10.8°Preaim
579msReaction time
26.3%T opening success
43.2%CT opening success
0.64Enemies flashed / flash
10.1%Flash assists
10.92HE damage / grenade
11.97Flashes / 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 26.3466% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient15–15-0.0118%26 Aug
inferno11–13-0.0616%26 Aug
inferno13–7-0.0214%25 Aug
dust213–90.0314%22 Aug
dust211–13-0.0129%22 Aug
nuke8–13-0.0119%22 Aug
anubis13–10-0.0415%21 Aug
anubis8–130.0223%19 Aug
anubis6–13-0.0919%18 Aug
dust27–13-0.0519%17 Aug
inferno13–11-0.0023%16 Aug
mirage13–100.0111%12 Aug
mirage6–130.0115%10 Aug
cache13–30.0621%10 Aug
mirage16–140.0018%10 Aug
dust23–13-0.0526%5 Aug
dust26–130.0416%2 Aug
ancient7–13-0.0710%2 Aug
anubis10–13-0.0211%29 Jul
ancient5–13-0.0523%29 Jul
dust213–7-0.0218%29 Jul
ancient13–50.0417%29 Jul
ancient2–13-0.0612%28 Jul
dust29–130.0713%28 Jul
dust25–13-0.083%27 Jul
inferno14–160.0126%26 Jul
nuke13–11-0.0415%26 Jul
mirage5–13-0.0411%25 Jul
inferno10–130.0417%25 Jul
cache8–130.017%25 Jul
dust211–13-0.0510%25 Jul
nuke13–10-0.0710%25 Jul
ancient13–10-0.0213%25 Jul
ancient4–13-0.0919%24 Jul
anubis6–13-0.0728%24 Jul
anubis10–130.0320%23 Jul
anubis13–110.079%22 Jul
dust28–130.0115%22 Jul
ancient13–20.0816%22 Jul
cache9–13-0.0232%21 Jul
ancient7–130.0118%21 Jul
dust29–13-0.0325%21 Jul
inferno11–13-0.0312%21 Jul
anubis7–130.0720%18 Jul
ancient2–13-0.0616%18 Jul
dust211–130.0127%18 Jul
mirage13–50.1022%18 Jul
cache8–130.0120%18 Jul
mirage0–13-0.0167%18 Jul
inferno3–13-0.0224%18 Jul
inferno5–13-0.028%18 Jul
dust213–60.0213%15 Jul
dust213–11-0.0313%15 Jul
inferno13–100.0613%15 Jul
dust24–13-0.0227%15 Jul
ancient13–40.0317%15 Jul
inferno9–13-0.0420%15 Jul
anubis5–13-0.0613%15 Jul
ancient11–13-0.036%14 Jul
dust212–120.0217%14 Jul
mirage13–70.0627%14 Jul
mirage15–15-0.0118%13 Jul
inferno6–13-0.0121%12 Jul
ancient13–60.0916%11 Jul
inferno13–70.0316%11 Jul
dust29–13-0.0322%11 Jul
dust213–10-0.0415%11 Jul
nuke11–130.0210%11 Jul
anubis13–11-0.0415%10 Jul
cache13–10-0.0610%10 Jul
inferno13–40.0826%9 Jul
inferno16–13-0.0415%9 Jul
mirage13–80.0724%7 Jul
dust213–40.0822%7 Jul
dust29–130.008%6 Jul
inferno13–80.0117%6 Jul
ancient4–13-0.0929%6 Jul
dust25–13-0.0424%5 Jul
ancient16–130.0312%5 Jul
inferno13–8-0.0528%5 Jul
anubis11–13-0.0123%4 Jul
dust213–50.0636%4 Jul
dust216–130.0421%4 Jul
ancient7–13-0.073%4 Jul
dust26–13-0.0713%4 Jul
anubis2–13-0.0515%4 Jul
nuke7–13-0.008%3 Jul
ancient10–13-0.0218%30 Jun
inferno13–80.0011%30 Jun
dust213–110.0618%30 Jun
mirage1–13-0.0117%30 Jun
inferno12–160.018%30 Jun
nuke8–13-0.0423%30 Jun
ancient6–13-0.016%29 Jun
mirage13–50.108%28 Jun
anubis14–16-0.0417%28 Jun
inferno13–60.0611%27 Jun
overpass12–120.0115%27 Jun
dust213–6-0.019%27 Jun
anubis16–140.0519%27 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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