A-Train — CS2 Stats

76561198115932096[U:1:155666368]

976Tracked matches43%Win rate2020Tracked since
CSDB Rating4.9 Developing
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGA-TrainFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning60
Utility39

0–100 skill scores via Leetify.

Recent form

COLD50482Last 10050%Win rateLLLLLWLLWW

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim5.3
Aggression5.8
Utility3.9
Positioning6.0
Opening Duels2.8
Clutch0.0

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 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower 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

Areas to improve

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.3
Positioning6.0
Utility3.9
Mechanics6.2
Opening Duels2.8
Win Impact2.8

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+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time631ms+16ms
first ⅓ avg 616ms → last ⅓ avg 631ms
Headshot accuracy23.2%+2.8%
first ⅓ avg 20.4% → last ⅓ avg 23.2%

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

0.14Best rating — dust2 6–13
131Biggest win — cache
5Longest win streak
L5Current streak
118In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 62% over 26infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A26161062%0.02
cacheB24121250%0.01
ancientB168850%-0.01
infernoC146843%-0.01
overpassA106460%-0.00
mirage4040%-0.04
anubis31233%-0.02
nuke31233%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

30Matches
40%Win rate
0.97Avg K/D
103.1ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLW

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.

23.6%Headshot accuracy
28.3%Accuracy (enemy spotted)
31.9%Spray accuracy
78.1%Counter-strafing
11.2°Preaim
636msReaction time
33.3%T opening success
48.8%CT opening success
0.50Enemies flashed / flash
7.4%Flash assists
8.17HE damage / grenade
3.66Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6601 — below the 4 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 33.2832% — 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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–130.0021%23 Aug
anubis7–130.0610%23 Aug
inferno11–13-0.0413%22 Aug
cache8–13-0.0414%15 Aug
inferno4–13-0.0022%15 Aug
dust213–90.0427%15 Aug
dust25–13-0.0332%15 Aug
ancient13–160.0121%15 Aug
dust213–10-0.0221%15 Aug
dust216–13-0.0116%8 Aug
cache13–110.0750%8 Aug
cache13–160.0021%25 Jul
inferno13–110.0919%10 Jul
cache13–80.0927%10 Jul
nuke11–13-0.0527%10 Jul
inferno4–130.0544%3 Jul
dust213–70.0021%27 Jun
ancient16–130.0330%27 Jun
inferno13–11-0.0633%27 Jun
overpass11–130.0221%27 Jun
dust24–13-0.0016%27 Jun
ancient13–90.0223%30 May
dust213–60.0332%30 May
dust210–130.0139%30 May
overpass13–60.0121%30 May
ancient8–13-0.0128%30 May
dust213–8-0.048%30 May
inferno10–13-0.0416%30 May
cache3–13-0.0814%23 May
mirage8–13-0.0717%23 May
ancient13–50.0713%23 May
cache13–10.0722%23 May
cache13–3-0.0623%23 May
inferno9–13-0.0627%23 May
cache11–130.0127%23 May
cache13–50.0119%23 May
cache4–13-0.0417%23 May
ancient10–13-0.0528%19 May
dust26–13-0.067%19 May
cache12–12-0.0327%19 May
dust213–160.0033%12 May
dust213–8-0.0118%12 May
ancient13–8-0.0226%9 May
inferno13–11-0.0319%9 May
overpass7–130.0415%9 May
overpass13–11-0.0119%9 May
dust213–70.0818%9 May
ancient14–16-0.0115%9 May
cache13–110.0223%3 May
cache13–80.0819%3 May
dust213–40.1111%3 May
dust213–7-0.0335%3 May
ancient13–60.0615%3 May
ancient2–13-0.0317%3 May
cache13–30.0811%3 May
cache13–80.017%3 May
dust211–130.0619%3 May
cache13–10-0.0117%2 May
cache13–50.0528%2 May
cache9–130.0031%2 May
cache6–130.0216%2 May
cache7–13-0.0417%2 May
cache10–130.0731%2 May
cache13–30.0829%2 May
cache9–13-0.0339%2 May
cache7–13-0.0327%2 May
dust213–100.0323%7 Feb
anubis15–15-0.0319%7 Feb
overpass16–14-0.0420%7 Feb
inferno10–13-0.0222%24 Jan
dust26–130.1413%24 Jan
anubis13–8-0.0911%24 Jan
dust29–130.0319%24 Jan
ancient16–14-0.0512%17 Jan
nuke16–140.0220%17 Jan
overpass9–13-0.0114%17 Jan
ancient6–13-0.0217%17 Jan
overpass16–14-0.0424%17 Jan
dust213–40.0222%17 Jan
overpass10–13-0.0115%11 Jan
mirage8–13-0.0416%11 Jan
dust213–20.0517%11 Jan
ancient13–50.0427%11 Jan
inferno13–90.0117%15 Nov
inferno11–13-0.0419%15 Nov
nuke6–13-0.0415%15 Nov
dust210–130.0223%15 Nov
ancient10–13-0.0716%28 Oct
ancient6–13-0.0627%28 Oct
dust213–10-0.0224%21 Oct
inferno13–110.0525%21 Oct
mirage5–13-0.0622%21 Oct
dust29–13-0.0426%20 Oct
ancient13–7-0.0410%20 Oct
dust213–6-0.0037%18 Oct
dust213–20.0828%18 Oct
inferno13–60.0123%18 Oct
overpass13–7-0.0722%18 Oct
inferno11–13-0.0031%17 Oct
overpass13–20.0721%17 Oct

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 →