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cush21 — CS2 Stats

76561198030944621[U:1:70678893]

245Tracked matches52%Win rate2024Tracked since
CSDB Rating1.9 Learning
Premier CS Rating1,586Grey band · top ~93.3% of ranked players (population est.)
CSDB Leaderboard#41092 of 52428 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGcush21FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER1,586 · Grey bandcsdb.gg/stats

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Performance scores

Aim11
Positioning36
Utility4

0–100 skill scores via Leetify.

Recent form

STEADY39–58–3Last 10039%Win rateLLWLWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim1.1
Aggression3.7
Utility0.4
Positioning3.6
Opening Duels0.8
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 59% 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 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 768ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.1
Positioning3.6
Utility0.4
Mechanics1.6
Opening Duels1.6
Win Impact5.6

Composite 1.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time736ms−45ms
first ⅓ avg 780ms → last ⅓ avg 736ms
Headshot accuracy12.9%−0.6%
first ⅓ avg 13.4% → last ⅓ avg 12.9%

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

0.08Best rating — inferno 9–5
13–1Biggest win — mirage
5Longest win streak
L2Current streak
8–2In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 62% over 21ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%-0.02
nukeD185–1328%-0.04
dust2B168–850%-0.05
infernoC167–944%-0.03
ancientD113–827%-0.04
cache—42–250%0.00
anubis—41–325%-0.04
overpass—40–40%-0.04
train—30–30%-0.09
poseidon—10–10%-0.24
office—10–10%-0.08
palacio—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches
0%Win rate
0.26Avg K/D
36.3ADR
56%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust230%0.233.7
Ancient10%0.061.0
Mirage10%0.202.0
Nuke10%0.609.0

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.

13.5%Headshot accuracy
29.5%Accuracy (enemy spotted)
31.4%Spray accuracy
57.3%Counter-strafing
14.2°Preaim
768msReaction time
23.6%T opening success
42.7%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
2.38HE damage / grenade
0.64Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.2368° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.5169% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 767.8136ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0314%13 Aug →
nuke6–12-0.0421%4 Aug →
mirage13–1-0.018%4 Aug →
dust28–13-0.0716%31 Jul →
mirage13–90.0711%31 Jul →
dust213–11-0.0111%20 Jul →
mirage13–5-0.0311%20 Jul →
mirage13–4-0.0213%20 Jul →
inferno13–7-0.0318%20 Jul →
ancient2–13-0.019%17 Jul →
cache8–13-0.0715%17 Jul →
ancient1–13-0.107%14 Jul →
mirage13–70.0214%14 Jul →
inferno7–13-0.0615%13 Jul →
nuke2–13-0.0116%13 Jul →
mirage13–5-0.0212%13 Jul →
anubis6–13-0.0817%13 Jul →
cache6–130.0523%2 Jul →
inferno8–13-0.0617%9 Jun →
mirage13–10-0.0114%9 Jun →
mirage12–12-0.059%30 May →
anubis3–13-0.1010%29 May →
inferno13–10-0.0515%23 May →
cache13–9-0.045%29 Apr →
cache13–10.077%29 Apr →
mirage13–10-0.0313%23 Apr →
mirage13–6-0.0012%23 Apr →
dust29–13-0.1217%30 Mar →
dust213–11-0.0115%29 Mar →
poseidon2–9-0.2420%27 Mar →
overpass8–13-0.0414%27 Mar →
anubis13–6-0.065%27 Mar →
nuke0–3-0.220%25 Mar →
inferno9–50.0810%25 Mar →
inferno9–7-0.037%25 Mar →
mirage8–13-0.0110%25 Mar →
nuke8–13-0.0517%20 Mar →
anubis9–130.068%20 Mar →
office4–13-0.0820%26 Jan →
ancient13–7-0.0112%22 Jan →
inferno10–130.0012%22 Jan →
ancient9–13-0.0113%20 Jan →
inferno13–4-0.0310%20 Jan →
inferno5–13-0.0415%20 Jan →
nuke13–16-0.037%10 Dec →
train9–13-0.0524%7 Nov →
train12–12-0.105%7 Nov →
nuke6–13-0.1223%6 Nov →
ancient7–13-0.0619%29 Oct →
mirage6–13-0.058%27 Oct →
mirage13–10-0.0516%27 Oct →
dust211–13-0.0413%27 Oct →
inferno13–11-0.087%23 Oct →
mirage13–7-0.0114%19 Oct →
nuke9–13-0.0213%17 Oct →
dust213–5-0.0514%8 Oct →
dust213–9-0.0911%8 Oct →
palacio10–13-0.0211%3 Oct →
nuke8–13-0.0216%1 Oct →
overpass2–13-0.0620%24 Sept →
mirage6–13-0.037%23 Sept →
dust27–13-0.0319%22 Sept →
nuke16–130.008%21 Sept →
dust24–12-0.0415%21 Sept →
dust213–5-0.028%20 Sept →
inferno7–13-0.0317%20 Sept →
overpass3–13-0.0710%20 Sept →
nuke13–70.0011%20 Sept →
dust28–13-0.0517%19 Sept →
nuke13–70.059%19 Sept →
nuke15–15-0.056%18 Sept →
dust213–10-0.086%17 Sept →
ancient7–13-0.0530%17 Sept →
ancient7–13-0.047%17 Sept →
nuke16–14-0.094%17 Sept →
inferno1–13-0.100%17 Sept →
nuke13–8-0.026%16 Sept →
mirage5–13-0.0521%16 Sept →
overpass11–130.0115%16 Sept →
nuke10–13-0.0612%15 Sept →
mirage7–13-0.0213%15 Sept →
nuke4–13-0.019%14 Sept →
dust21–8-0.0516%14 Sept →
inferno8–130.0114%13 Sept →
nuke7–13-0.0419%13 Sept →
mirage13–90.0229%13 Sept →
train5–13-0.1114%13 Sept →
ancient4–13-0.0319%13 Sept →
mirage6–13-0.069%13 Sept →
nuke6–13-0.0613%12 Sept →
inferno13–60.0320%12 Sept →
inferno8–13-0.0420%10 Sept →
dust213–11-0.0614%10 Sept →
ancient13–10.0113%10 Sept →
ancient13–11-0.0317%5 Sept →
mirage16–14-0.059%3 Sept →
dust213–8-0.0219%3 Sept →
dust25–13-0.0113%1 Sept →
ancient6–13-0.107%1 Sept →
inferno7–13-0.0513%31 Aug →

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 →

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