cl_troncek 1

cl_troncek 1 — CS2 Stats

RO76561198154236103[U:1:193970375]Steam profile ↗

1,495Tracked matches40%Win rate2020Tracked since
CSDB Rating4.9 Developing
Premier CS Rating18,973Purple band · top ~12.6% of ranked players (population est.)
CSDB Leaderboard#11901 of 24824 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGcl_troncek 1PREMIER18,973 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning54
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49501Last 10049%Win rateWLLLWLLWLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim5.9
Aggression7.3
Utility5.6
Positioning5.4
Opening Duels3.3
Clutch4.2

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 89% playstyle similarity

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

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

Areas to improve

Reaction time. 642ms 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

Aim5.9
Positioning5.4
Utility5.6
Mechanics4.9
Opening Duels3.3
Win Impact1.7

Composite 4.9/10 (Developing), 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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time660ms+33ms
first ⅓ avg 627ms → last ⅓ avg 660ms
Headshot accuracy18.7%−1.0%
first ⅓ avg 19.7% → last ⅓ avg 18.7%

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

0.15Best rating — ancient 10–2
132Biggest win — train
4Longest win streak
67In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 56% over 9infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
ancientB24131154%-0.01
infernoC1661038%0.00
mirageB168850%0.02
overpassB158753%0.00
dust2A95456%0.01
anubisB84450%-0.01
trainB84450%-0.00
nuke31233%0.01
cache1010%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,969Matches
51%Win rate
1.04Avg K/D
77.6ADR
37%Headshot %

Clutches & streaks

41%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient19251%1.0815.6
Mirage14550%1.0716.4
Inferno13649%0.9916.0
Anubis9855%0.9815.9
Overpass7959%1.1015.5
Nuke5857%1.0615.7
Dust25643%1.0715.5
Train4156%0.9815.5

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.

18.2%Headshot accuracy
35.9%Accuracy (enemy spotted)
39.0%Spray accuracy
71.8%Counter-strafing
11.1°Preaim
642msReaction time
44.1%T opening success
42.7%CT opening success
0.52Enemies flashed / flash
4.4%Flash assists
11.30HE damage / grenade
11.19Flashes / match

Recommended for you

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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno22–20-0.0218%9 Aug
nuke9–130.0314%5 Aug
mirage4–13-0.0532%5 Aug
cache8–13-0.0616%3 Aug
ancient13–9-0.0217%3 Aug
anubis7–13-0.0530%22 Jul
ancient11–13-0.0716%12 Jul
ancient13–6-0.0216%16 Jan
ancient4–13-0.0218%16 Jan
ancient13–70.0510%16 Jan
ancient13–7-0.0615%2 Jan
overpass10–13-0.0311%2 Jan
overpass13–90.0223%2 Jan
mirage10–130.0218%30 Dec
ancient10–20.1520%30 Dec
inferno13–50.0915%30 Dec
train10–13-0.0122%29 Dec
inferno13–16-0.0116%24 Dec
inferno8–130.0019%21 Dec
overpass8–13-0.0622%21 Dec
overpass10–130.0311%21 Dec
mirage7–13-0.0221%19 Dec
mirage13–80.0111%19 Dec
dust27–13-0.0321%19 Dec
dust216–120.0522%19 Dec
dust213–9-0.0521%18 Dec
ancient9–13-0.0115%16 Dec
inferno6–130.1021%16 Dec
nuke2–13-0.0315%11 Dec
overpass13–80.0124%11 Dec
mirage10–130.0216%5 Dec
overpass13–70.0820%1 Dec
overpass13–90.0431%26 Nov
inferno13–8-0.0321%26 Nov
mirage13–90.1032%26 Nov
inferno14–160.0135%25 Nov
dust29–130.0129%21 Nov
mirage12–2-0.0114%21 Nov
ancient13–9-0.027%15 Nov
ancient7–13-0.0421%7 Nov
ancient2–13-0.0615%4 Oct
ancient13–60.0213%30 Sept
inferno11–13-0.0112%30 Sept
mirage16–140.0113%24 Sept
dust213–60.0223%20 Sept
ancient7–13-0.0328%16 Sept
overpass13–5-0.0426%15 Sept
overpass4–13-0.0417%13 Sept
train13–40.0515%13 Sept
mirage13–70.1218%5 Sept
ancient13–60.0122%5 Sept
inferno8–13-0.0111%31 Aug
dust213–110.0115%31 Aug
overpass16–120.0016%22 Aug
overpass13–90.0120%18 Aug
overpass11–130.0026%16 Aug
dust210–130.0414%8 Aug
inferno13–90.0116%8 Aug
train7–13-0.0515%7 Aug
inferno20–22-0.0114%6 Aug
ancient13–50.0021%6 Aug
overpass13–7-0.0016%1 Aug
overpass9–13-0.008%1 Aug
overpass4–13-0.0322%29 Jul
inferno13–110.0410%26 Jul
mirage8–130.0328%26 Jul
inferno9–13-0.0311%25 Jul
mirage13–70.0715%15 Jul
ancient9–13-0.0519%11 Jul
anubis13–100.0115%3 Jul
mirage8–130.0115%1 Jul
train13–20.0427%25 Jun
inferno10–13-0.0529%25 Jun
ancient15–15-0.0121%24 Jun
train10–13-0.0123%24 Jun
train13–6-0.0324%24 Jun
dust213–110.0728%24 Jun
anubis13–70.085%24 Jun
mirage7–130.0319%13 Jun
anubis3–13-0.0525%13 Jun
mirage6–13-0.0616%6 May
mirage13–100.0426%20 Apr
ancient13–100.0124%20 Apr
nuke13–50.0414%12 Apr
train6–13-0.0416%19 Feb
anubis8–13-0.0726%1 Feb
train13–50.0220%31 Jan
ancient16–120.066%29 Jan
ancient9–130.0015%28 Jan
ancient8–130.0016%27 Jan
inferno13–100.0019%27 Jan
ancient13–11-0.028%7 Jan
ancient13–6-0.0015%1 Jan
mirage13–100.0235%28 Dec
inferno11–13-0.0020%25 Dec
anubis11–13-0.0234%22 Dec
anubis13–6-0.0123%21 Dec
anubis13–80.0219%21 Dec
ancient6–13-0.0116%19 Dec
dust29–13-0.0315%19 Dec

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →