GRAYSON — CS2 Stats

76561198214151864[U:1:253886136]

1,898Tracked matches59%Win rate2020Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGGRAYSONFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning43
Utility40

0–100 skill scores via Leetify.

Recent form

COLD55414Last 10055%Win rateLLWLLWLLTW

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim6.2
Aggression4.6
Utility4.0
Positioning4.3
Opening Duels1.3
Clutch4.6

Strong CT-side opener

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 84% 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 50% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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
Positioning4.3
Utility4.0
Mechanics7.2
Opening Duels2.5
Win Impact7.9

Composite 5.4/10 (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-0.02−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time624ms+21ms
first ⅓ avg 603ms → last ⅓ avg 624ms
Headshot accuracy19.6%+3.3%
first ⅓ avg 16.3% → last ⅓ avg 19.6%

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

0.11Best rating — inferno 13–9
131Biggest win — mirage
7Longest win streak
L2Current streak
106In matches decided by ≤2 rounds
14Overtime games

Map breakdown

officeBest map · 80% over 5nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB28131546%-0.01
ancientS1812667%-0.00
dust2A169756%-0.01
infernoS139469%0.00
anubisA106460%-0.01
nukeD51420%-0.06
officeS54180%0.01
cache41325%-0.02
train1010%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

556Matches
51%Win rate
1.05Avg K/D
69.5ADR
37%Headshot %

Clutches & streaks

43%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8852%0.9313.3
Ancient6655%1.0815.2
Vertigo2665%0.8512.8
Dust21953%1.0715.4
Anubis1735%0.7611.1
Overpass1145%0.8512.6
Inferno40%0.5812.0
Nuke20%0.386.5

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.

19.9%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.2%Spray accuracy
82.6%Counter-strafing
10.3°Preaim
629msReaction time
20.1%T opening success
50.0%CT opening success
0.52Enemies flashed / flash
6.5%Flash assists
6.64HE damage / grenade
6.33Flashes / 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 20.0967% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0114%16 Aug
mirage10–13-0.0521%16 Aug
dust216–12-0.0820%16 Aug
cache8–13-0.0511%16 Aug
ancient13–160.0022%16 Aug
mirage13–10.0033%16 Aug
anubis5–13-0.0412%16 Aug
mirage11–13-0.0414%2 Aug
nuke15–15-0.0629%2 Aug
ancient13–7-0.0714%2 Aug
cache9–13-0.0418%2 Aug
nuke4–13-0.0517%12 Jul
inferno13–6-0.0212%12 Jul
cache6–130.0015%12 Jul
dust213–11-0.0627%12 Jul
cache13–100.0223%28 Jun
inferno13–90.1128%28 Jun
ancient8–13-0.0330%28 Jun
office13–2-0.0133%28 Jun
mirage13–50.0416%6 Jun
nuke13–8-0.078%6 Jun
inferno13–9-0.0240%6 Jun
anubis13–80.0214%6 Jun
mirage9–13-0.0417%6 Jun
dust213–4-0.0615%6 Jun
ancient13–8-0.068%6 Jun
dust28–13-0.0217%28 Feb
ancient13–6-0.0433%28 Feb
mirage13–11-0.0219%28 Feb
anubis13–80.0518%25 Jan
dust213–10-0.0225%25 Jan
inferno13–7-0.0213%17 Jan
ancient13–11-0.0413%17 Jan
inferno13–8-0.0212%17 Jan
dust27–130.006%17 Jan
mirage11–13-0.0517%17 Jan
mirage11–13-0.0511%9 Dec
office13–60.0733%27 Nov
dust27–130.0320%27 Nov
office13–7-0.0023%27 Nov
dust213–90.0218%27 Nov
office2–7-0.030%27 Nov
dust213–16-0.0215%5 Oct
mirage15–15-0.0617%5 Oct
ancient13–8-0.049%18 Jul
dust212–160.0027%8 Jun
mirage10–130.0116%8 Jun
inferno9–13-0.0130%8 Jun
anubis13–110.0422%8 Jun
train2–13-0.0317%8 Jun
mirage13–40.0813%8 Jun
ancient10–13-0.0117%8 Jun
mirage13–16-0.0212%2 Jun
anubis5–13-0.0414%1 Jun
dust25–13-0.0214%1 Jun
dust213–100.0018%1 Jun
mirage8–13-0.0421%1 Jun
ancient13–11-0.0513%1 Jun
inferno13–70.0121%1 Jun
anubis5–13-0.0323%1 Jun
mirage13–90.0519%1 Jun
dust215–150.0118%1 Jun
ancient10–130.0419%1 Jun
dust213–110.0316%31 May
mirage9–13-0.0710%26 May
ancient13–50.0011%26 May
mirage9–130.027%26 May
anubis13–8-0.0538%26 May
ancient13–7-0.054%24 May
nuke10–13-0.0721%24 May
dust213–100.0114%24 May
inferno13–4-0.027%24 May
mirage13–50.0112%24 May
ancient13–30.099%24 May
office13–50.0550%23 May
mirage2–130.0624%23 May
mirage13–10-0.0113%22 May
mirage13–110.0616%22 May
mirage13–110.0617%21 May
ancient11–130.0318%21 May
inferno15–15-0.057%21 May
mirage13–11-0.0318%20 May
mirage9–13-0.0419%18 May
ancient13–50.0419%18 May
anubis13–6-0.037%18 May
mirage13–10-0.0224%18 May
mirage13–9-0.0420%18 May
inferno14–16-0.0113%18 May
ancient16–19-0.056%18 May
ancient13–80.1120%16 May
anubis7–13-0.007%16 May
mirage14–16-0.065%14 May
inferno16–120.0111%9 May
dust216–130.0116%3 May
anubis13–110.0011%3 May
mirage8–130.0221%3 May
inferno13–80.0616%3 May
mirage13–4-0.0117%3 May
nuke6–13-0.0435%3 May
ancient13–90.074%3 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →