Word2.exe

Word2.exe — CS2 Stats

76561198099216159[U:1:138950431]Steam profile ↗✓ No bans

193Tracked matches50%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim62
Positioning42
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateLLLLWLLWWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.2
Aggression1.6
Utility5.2
Positioning4.2
Opening Duels0.0

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-fight frequency.

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. 637ms 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

Aim6.2
Positioning4.2
Utility5.2
Mechanics8.1
Opening Duels0.0
Win Impact5.0

Composite 5.2/10 (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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time637ms−23ms
first ⅓ avg 660ms → last ⅓ avg 637ms
Headshot accuracy16.7%−0.2%
first ⅓ avg 17.0% → last ⅓ avg 16.7%

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

0.07Best rating — dust2 13–7
132Biggest win — ancient
5Longest win streak
L4Current streak
86In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 53% over 30mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB30161453%-0.03
dust2B25131252%-0.02
ancientB21111052%-0.03
mirageC83538%-0.06
nuke41325%-0.01
anubis32167%0.01
office31233%-0.05
cache2020%-0.06
overpass21150%0.02
train2020%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). 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.

16.5%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.6%Spray accuracy
86.5%Counter-strafing
11.2°Preaim
637msReaction time
18.7%T opening success
28.0%CT opening success
0.68Enemies flashed / flash
11.1%Flash assists
5.48HE damage / grenade
8.73Flashes / 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 18.7399% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0129%9 Jul
cache10–13-0.0333%9 Jul
ancient9–13-0.0414%4 Jul
inferno3–130.0019%4 Jul
inferno13–70.0123%4 Jul
cache5–13-0.1014%4 Jul
mirage5–13-0.0811%2 Jul
anubis13–10-0.0113%2 Jul
inferno13–10-0.0620%1 Jul
ancient13–9-0.046%1 Jul
dust213–70.0718%1 Jul
dust213–60.0221%30 Jun
dust211–13-0.0218%30 Jun
inferno8–13-0.044%30 Jun
ancient8–13-0.023%30 Jun
inferno13–11-0.0217%30 Jun
ancient9–13-0.0129%27 Jun
ancient7–13-0.087%27 Jun
inferno13–110.0314%27 Jun
dust27–13-0.0318%27 Jun
inferno13–5-0.0314%27 Jun
nuke13–9-0.0015%26 Jun
overpass13–30.0421%26 Jun
dust210–13-0.0315%20 Jun
mirage8–13-0.0215%20 Jun
mirage13–11-0.0222%20 Jun
dust213–6-0.0513%20 Jun
mirage7–13-0.088%4 Mar
inferno13–50.0424%4 Mar
inferno13–11-0.0214%3 Mar
dust213–100.0224%3 Mar
ancient13–40.0120%21 Feb
inferno3–13-0.0515%21 Feb
inferno7–13-0.0122%21 Feb
inferno13–6-0.054%21 Feb
anubis13–50.0424%20 Feb
inferno16–130.0413%19 Feb
dust213–70.0116%17 Feb
anubis6–130.0113%17 Feb
dust215–15-0.0411%17 Feb
inferno13–9-0.0211%15 Feb
ancient13–60.0115%15 Feb
dust213–9-0.0410%25 Jan
dust29–13-0.1224%25 Jan
ancient13–11-0.056%10 Jan
dust29–130.0117%9 Jan
inferno13–11-0.0122%9 Jan
office10–13-0.0321%9 Jan
ancient9–13-0.058%3 Jan
inferno13–5-0.0020%26 Dec
dust216–13-0.0728%25 Dec
nuke8–13-0.0416%25 Dec
inferno7–13-0.049%25 Dec
inferno8–13-0.0920%25 Dec
ancient12–16-0.0511%25 Dec
office13–8-0.0435%23 Dec
dust213–8-0.0026%12 Dec
ancient15–15-0.0518%12 Dec
train8–13-0.0323%12 Dec
ancient7–13-0.059%10 Dec
dust25–13-0.1213%8 Dec
inferno11–13-0.0420%8 Dec
dust213–4-0.0023%22 Nov
mirage13–6-0.0415%22 Nov
ancient13–90.0314%22 Nov
dust213–40.0541%22 Nov
ancient15–15-0.0613%14 Nov
ancient13–7-0.0021%14 Nov
ancient13–8-0.0611%14 Nov
ancient13–11-0.0220%9 Nov
mirage13–5-0.0412%9 Nov
dust25–13-0.0111%9 Nov
inferno13–11-0.0126%8 Nov
ancient8–13-0.0915%8 Nov
inferno14–16-0.036%8 Nov
inferno13–6-0.0213%8 Nov
inferno12–12-0.0422%8 Nov
inferno10–13-0.0614%6 Nov
inferno13–50.0115%6 Nov
nuke6–130.0511%6 Nov
ancient13–2-0.0115%6 Nov
dust213–30.0226%6 Nov
mirage9–13-0.0616%6 Nov
ancient13–80.0216%4 Nov
dust26–13-0.0212%31 Oct
train11–13-0.0331%30 Oct
inferno11–13-0.076%30 Oct
inferno16–13-0.0510%30 Oct
nuke9–13-0.056%30 Oct
dust210–13-0.0525%30 Oct
ancient13–50.0216%30 Oct
mirage4–13-0.1214%30 Oct
dust213–70.0014%26 Oct
overpass10–13-0.0013%26 Oct
dust211–13-0.0335%26 Oct
dust213–8-0.0230%26 Oct
office9–13-0.0819%26 Oct
inferno12–12-0.0022%25 Oct
inferno4–13-0.0819%24 Oct
inferno10–13-0.0613%24 Oct

Match data via Leetify.

Recent teammates

Milestones

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