Boxy — CS2 Stats

76561198979985830[U:1:1019720102]✓ No bans

333Tracked matches43%Win rate2021Tracked since
525Hours in CS
CSDB Rating3.8 Learning
Ladder ranks via Leetify

Performance scores

Aim43
Positioning39
Utility32

0–100 skill scores via Leetify.

Recent form

COLD44542Last 10044%Win rateLLWLWLLLLL

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

Aim4.3
Aggression4.0
Utility3.2
Positioning3.9
Opening Duels0.7

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 72% playstyle similarity

Most alike: opening-fight frequency, 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 43% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim4.3
Positioning3.9
Utility3.2
Mechanics5.5
Opening Duels1.6
Win Impact2.8

Composite 3.8/10 (Learning), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time634ms−48ms
first ⅓ avg 682ms → last ⅓ avg 634ms
Headshot accuracy15.2%−4.6%
first ⅓ avg 19.8% → last ⅓ avg 15.2%

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

0.13Best rating — dust2 13–7
130Biggest win — grail
4Longest win streak
L2Current streak
58In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 67% over 6mirageWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeB178947%-0.01
mirageD1651131%-0.00
dust2C167944%0.03
grailC135838%0.00
trainC125742%0.00
infernoB105550%-0.02
overpassS64267%0.01
ancientC52340%-0.04
anubis32167%0.05
whistle1010%-0.02
basalt110100%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,500Lifetime kills
1.11K/D · Top 50% of tracked players
2,442Matches
36.5%Match win rate
43.4%Headshot %
12.8%Shot accuracy · Top 50% of tracked players
3,590MVPs
525Hours (in match)
1,074Bombs planted
250Bombs defused

Most-used weapons

AK-475,979
AWP3,947
SSG 083,209
FAMAS1,566
Knife1,112
MP9974

Lifetime map wins

3,053vertigo
2,047dust2
932inferno
620nuke
318ar_shoots
294lake
274train
246safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

15.2%Headshot accuracy
29.5%Accuracy (enemy spotted)
29.8%Spray accuracy
75.0%Counter-strafing
10.2°Preaim
632msReaction time
22.6%T opening success
43.1%CT opening success
0.42Enemies flashed / flash
4.8%Flash assists
7.90HE damage / grenade
5.80Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4238 — below the 0.5 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 22.6215% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–130.0318%15 Mar
anubis10–130.0113%14 Mar
overpass13–2-0.0214%14 Mar
overpass2–13-0.0417%14 Mar
overpass13–60.1120%14 Mar
nuke3–13-0.0423%14 Mar
nuke9–13-0.079%10 Mar
inferno10–130.0228%12 Jan
ancient8–13-0.0312%12 Jan
nuke10–13-0.0114%12 Jan
ancient3–13-0.1111%12 Jan
dust23–13-0.096%12 Jan
overpass13–80.038%9 Jan
dust213–50.0213%9 Jan
nuke16–130.0119%9 Jan
inferno10–13-0.035%9 Jan
nuke4–13-0.0314%9 Jan
inferno5–9-0.0824%7 Jan
dust27–13-0.0416%7 Jan
mirage13–80.0315%7 Jan
nuke13–10.0323%7 Jan
mirage13–10-0.0415%7 Jan
dust213–60.0430%7 Jan
mirage5–130.0217%7 Jan
ancient16–14-0.0218%6 Jan
train7–120.0314%12 Sept
train13–7-0.0513%12 Sept
nuke3–13-0.1010%4 Sept
dust213–30.0813%3 Sept
inferno13–50.0314%2 Sept
mirage7–13-0.0215%2 Sept
mirage11–13-0.0410%2 Sept
train13–70.0617%1 Sept
mirage11–13-0.0020%1 Sept
nuke13–30.0417%1 Sept
mirage10–130.0411%1 Sept
overpass11–13-0.0217%1 Sept
nuke13–90.0212%1 Sept
grail11–130.0410%1 Sept
grail13–20.026%31 Aug
inferno5–9-0.1740%28 Jul
dust27–13-0.0116%28 Jul
ancient13–8-0.0217%28 Jul
nuke13–80.0418%28 Jul
overpass13–20.0322%27 Jul
nuke5–13-0.0213%27 Jul
dust213–100.1117%27 Jul
inferno5–13-0.0116%17 Jul
train11–13-0.0315%16 Jul
dust210–13-0.0510%16 Jul
grail4–13-0.0013%15 Jul
dust212–120.0414%15 Jul
dust213–70.1318%14 Jul
mirage3–13-0.0716%14 Jul
inferno13–110.0520%14 Jul
grail13–80.0315%13 Jul
grail13–11-0.0213%13 Jul
grail4–13-0.068%11 Jul
grail13–00.0413%11 Jul
grail2–13-0.0341%10 Jul
grail9–110.0023%10 Jul
grail4–13-0.043%7 Jul
grail10–13-0.0216%7 Jul
grail7–13-0.0120%7 Jul
grail13–10.0838%7 Jul
mirage8–13-0.0215%11 Feb
dust213–70.0217%11 Feb
train15–15-0.0220%10 Feb
mirage13–90.0321%10 Feb
train10–13-0.0521%9 Feb
dust213–70.0423%9 Feb
nuke16–130.0621%9 Feb
anubis13–40.0524%9 Feb
nuke13–80.0214%8 Feb
mirage6–130.0123%8 Feb
train10–130.0018%8 Feb
mirage13–7-0.037%8 Feb
ancient10–13-0.0112%8 Feb
nuke16–14-0.0416%8 Feb
train13–70.0519%7 Feb
inferno13–5-0.0419%7 Feb
dust211–130.1224%7 Feb
nuke10–13-0.0220%4 Feb
dust27–130.0420%4 Feb
anubis13–90.088%4 Feb
inferno13–30.0619%4 Feb
mirage2–13-0.0128%4 Feb
train13–80.0726%3 Feb
mirage13–80.0523%3 Feb
mirage8–13-0.0216%3 Feb
nuke6–9-0.0120%3 Feb
nuke9–13-0.0717%28 Dec
train9–13-0.0221%1 Dec
dust22–130.0525%26 Nov
whistle5–9-0.0214%26 Nov
train11–70.0426%26 Nov
inferno13–110.0129%24 Nov
basalt13–100.0018%22 Nov
train11–13-0.0625%22 Nov
dust27–130.0018%22 Nov

Match data via Leetify.

Milestones

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