ray

ray — CS2 Stats

US76561199097335358[U:1:1137069630]Steam profile ↗✓ No bans

1,540Tracked matches55%Win rate2024Tracked since
2,169Hours in CS9Hrs last 2 wks
CSDB Rating6.7 SolidAggressive Rifler
Premier CS Rating17,263Purple band · top ~19.4% of ranked players (population est.)
CSDB Leaderboard#12347 of 22016 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate56.9%44.1%47.2%above
Shot accuracy0.8%11.4%12.7%12.0% short
Kill/death ratio1.011.031.090.07 short
Match win rate39.0%45.2%46.6%7.6% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGrayPREMIER17,263 · Purple bandcsdb.gg/stats

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Performance scores

Aim81
Positioning65
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateLWWLLLWWLW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.1
Aggression9.9
Utility4.7
Positioning6.5
Opening Duels5.5
Clutch3.2

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

sh1ro

Plays most like sh1ro 90% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 575ms 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

Aim8.1
Positioning6.5
Utility4.7
Mechanics7.1
Opening Duels5.5
Win Impact6.7

Composite 6.7/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time579ms−25ms
first ⅓ avg 604ms → last ⅓ avg 579ms
Headshot accuracy25.8%+1.7%
first ⅓ avg 24.1% → last ⅓ avg 25.8%

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

0.16Best rating — vertigo 9–6
131Biggest win — dust2
6Longest win streak
137In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
ancientA25141156%0.02
cacheA169756%0.05
infernoD1551033%0.01
mirageA159660%0.01
anubisA85363%0.02
dust2C73443%0.04
nukeC52340%-0.03
vertigo42250%0.04
train31233%0.06
overpass110100%-0.00
office1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,736Lifetime kills
1.01K/D
2,141Matches
39.0%Match win rate
56.9%Headshot % · Top 10% of Purple band
0.8%Shot accuracy
6,033MVPs
2,066Hours (in match)
1,594Bombs planted
539Bombs defused

Most-used weapons

AK-4718,131
MP91,662
AWP1,458
Knife1,124

Lifetime map wins

3,266inferno
2,230nuke
1,946dust2
866vertigo
252train
50lake
43office
17italy

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

Faceit stats

Combat

276Matches
46%Win rate
1.12Avg K/D
84.8ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8444%1.0815.8
Anubis5456%1.2318.2
Ancient4848%1.3018.6
Dust23142%0.9213.0
Inferno2934%1.0114.0
Nuke1644%1.0818.3
Overpass650%0.9914.0
Train450%1.2214.8

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.

26.9%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.9%Spray accuracy
82.0%Counter-strafing
9.3°Preaim
575msReaction time
49.1%T opening success
54.7%CT opening success
0.37Enemies flashed / flash
4.5%Flash assists
8.42HE damage / grenade
10.74Flashes / 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 0.3709 — below the 0.5 mark we flag

    Grenade Lineups
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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient9–130.0116%23 Aug
cache13–5-0.0321%23 Aug
inferno9–70.0528%23 Aug
inferno5–13-0.0831%23 Aug
ancient5–13-0.0437%23 Aug
mirage7–13-0.0028%23 Aug
cache13–100.1043%23 Aug
nuke16–14-0.0033%22 Aug
inferno2–3-0.0111%10 Aug
train13–110.0824%10 Aug
mirage13–50.0220%10 Aug
ancient16–140.0322%9 Aug
mirage11–13-0.0221%9 Aug
ancient16–120.0121%9 Aug
mirage13–8-0.0126%9 Aug
ancient6–13-0.0136%9 Aug
train8–130.0732%9 Aug
train7–130.0233%9 Aug
overpass13–11-0.0021%8 Aug
ancient13–110.0727%8 Aug
anubis15–150.0338%8 Aug
anubis4–13-0.0113%7 Aug
ancient7–130.0141%7 Aug
cache13–70.0326%7 Aug
anubis16–12-0.0228%6 Aug
inferno10–130.0315%6 Aug
anubis13–80.0427%6 Aug
nuke1–13-0.0823%6 Aug
dust213–110.0921%6 Aug
ancient4–40.1321%6 Aug
vertigo13–70.0533%2 Aug
vertigo2–13-0.0825%2 Aug
office10–13-0.078%2 Aug
inferno1–7-0.1022%2 Aug
anubis16–140.0121%2 Aug
ancient13–10-0.0025%2 Aug
ancient10–13-0.0434%2 Aug
ancient10–130.0526%1 Aug
inferno8–80.1028%1 Aug
inferno9–70.0523%1 Aug
inferno4–9-0.0014%1 Aug
vertigo7–90.0239%1 Aug
nuke3–9-0.1111%1 Aug
dust213–10.0524%1 Aug
cache13–90.0727%1 Aug
mirage13–7-0.0118%31 Jul
mirage13–3-0.0340%31 Jul
ancient10–130.0125%30 Jul
ancient13–80.0332%30 Jul
ancient13–40.0631%30 Jul
inferno13–50.0234%29 Jul
cache3–13-0.0826%29 Jul
cache10–130.0623%29 Jul
cache13–90.1129%29 Jul
anubis13–90.0223%29 Jul
mirage13–80.0320%29 Jul
nuke13–100.0924%28 Jul
cache13–60.0822%28 Jul
cache13–40.1218%27 Jul
cache11–130.0123%26 Jul
ancient13–50.0227%26 Jul
dust213–100.0720%25 Jul
inferno10–130.0438%25 Jul
mirage13–5-0.0219%25 Jul
nuke8–13-0.0514%25 Jul
inferno11–130.0321%24 Jul
ancient10–13-0.0513%24 Jul
ancient13–40.0218%24 Jul
mirage13–10.0526%23 Jul
mirage5–13-0.0414%23 Jul
inferno6–13-0.0033%22 Jul
cache11–130.0220%22 Jul
cache13–90.0843%21 Jul
dust27–130.1123%20 Jul
ancient8–13-0.0224%20 Jul
ancient13–11-0.0229%20 Jul
anubis13–50.0215%17 Jul
mirage5–130.0335%16 Jul
mirage13–70.1225%16 Jul
anubis4–130.0444%14 Jul
mirage10–13-0.0126%14 Jul
ancient13–10-0.0321%14 Jul
inferno9–70.0310%14 Jul
cache11–130.0124%12 Jul
ancient9–130.0415%12 Jul
ancient13–60.1020%1 Jul
ancient13–50.0924%30 Jun
inferno12–120.0122%28 Jun
dust24–13-0.0223%27 Jun
cache13–100.0627%26 Jun
inferno13–11-0.0026%26 Jun
cache3–90.1123%25 Jun
mirage13–70.0818%25 Jun
dust27–13-0.0020%25 Jun
cache5–13-0.0128%25 Jun
mirage9–130.0121%24 Jun
vertigo9–60.1622%24 Jun
ancient13–90.0026%12 Jun
dust22–130.0225%12 Jun
ancient8–13-0.0226%12 Jun

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 →