Ray Mack — CS2 Stats

76561199574463750[U:1:1614198022]

1,841Tracked matches57%Win rate2024Tracked since
CSDB Rating4.9 Developing
Premier CS Rating12,887Blue band · top ~39.6% of ranked players (population est.)
CSDB Leaderboard#16048 of 23319 tracked
FaceitLevel 7 · 1,141 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGRay MackFACEITLevel 7 · 1,141 ELOSTANDINGTop 42.3% of rankedPREMIER12,887 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning47
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY56431Last 10056%Win rateWWLLWWLLLW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim4.8
Aggression6.7
Utility5.5
Positioning4.7
Opening Duels2.2
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

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 684ms 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

Aim4.8
Positioning4.7
Utility5.5
Mechanics6.8
Opening Duels2.2
Win Impact7.2

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time688ms−27ms
first ⅓ avg 715ms → last ⅓ avg 688ms
Headshot accuracy21.7%+0.5%
first ⅓ avg 21.3% → last ⅓ avg 21.7%

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

0.21Best rating — mirage 13–1
130Biggest win — mirage
9Longest win streak
W2Current streak
48In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2213959%0.01
dust2B1910953%0.01
nukeA1710759%0.01
cacheB105550%-0.02
ancientA106460%0.03
anubisS86275%0.01
infernoD82625%-0.03
vertigo220100%0.04
office21150%0.01
overpass21150%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

712Matches
49%Win rate
0.93Avg K/D
73.9ADR
52%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage17451%0.9413.7
Dust215346%0.8813.5
Anubis9448%0.9815.0
Nuke9353%1.0116.7
Ancient7345%0.8514.3
Inferno5444%0.9414.4
Vertigo2752%1.0115.7
Overpass1861%1.0613.6

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.

21.5%Headshot accuracy
31.8%Accuracy (enemy spotted)
33.0%Spray accuracy
80.8%Counter-strafing
13.1°Preaim
684msReaction time
32.3%T opening success
45.3%CT opening success
0.74Enemies flashed / flash
9.5%Flash assists
11.34HE damage / grenade
8.94Flashes / 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 13.068° — above the 12° mark we flag

    Aim Training
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–50.0128%26 Aug
mirage16–12-0.0137%25 Aug
dust27–13-0.0731%25 Aug
mirage7–13-0.0022%25 Aug
office13–60.0620%22 Aug
cache13–90.0027%22 Aug
office7–13-0.0335%22 Aug
dust211–130.0118%16 Aug
cache7–130.0117%15 Aug
dust213–50.0722%15 Aug
nuke13–10-0.0413%15 Aug
mirage16–130.0624%12 Aug
anubis13–80.0018%12 Aug
ancient13–60.0516%11 Aug
nuke13–100.0723%11 Aug
inferno13–60.0020%8 Aug
mirage5–13-0.0714%8 Aug
nuke8–13-0.0326%6 Aug
nuke11–13-0.0322%27 Jul
mirage13–0-0.0324%26 Jul
inferno9–13-0.0416%26 Jul
nuke13–60.0419%26 Jul
mirage7–13-0.0912%25 Jul
nuke13–30.1218%25 Jul
anubis13–160.0312%25 Jul
mirage13–110.0035%23 Jul
ancient13–9-0.0231%23 Jul
inferno5–13-0.099%19 Jul
dust210–13-0.0715%19 Jul
dust213–90.0616%11 Jul
ancient8–130.0621%9 Jul
anubis4–13-0.0632%4 Jul
ancient13–110.0425%4 Jul
inferno4–13-0.0421%3 Jul
mirage13–9-0.0021%3 Jul
dust213–50.0624%28 Jun
nuke13–7-0.0221%28 Jun
mirage13–10.2135%28 Jun
mirage6–130.0618%28 Jun
nuke12–16-0.0217%28 Jun
ancient14–16-0.0330%28 Jun
mirage13–70.0622%27 Jun
inferno7–13-0.0324%27 Jun
ancient13–100.0122%27 Jun
dust27–13-0.0030%22 Jun
cache20–220.0222%21 Jun
ancient7–130.0115%21 Jun
ancient13–10-0.0310%14 Jun
mirage6–130.0324%10 Jun
nuke13–9-0.0124%10 Jun
mirage13–40.0116%8 Jun
mirage13–60.0813%7 Jun
dust213–80.0627%7 Jun
nuke13–80.0520%7 Jun
anubis13–100.0515%7 Jun
nuke13–5-0.0021%7 Jun
ancient13–10.1720%7 Jun
nuke13–50.0713%7 Jun
nuke11–130.0118%7 Jun
dust210–13-0.0320%6 Jun
nuke8–13-0.0215%1 Jun
mirage11–13-0.0614%31 May
mirage13–70.0831%31 May
anubis16–13-0.0127%30 May
nuke13–16-0.0417%30 May
ancient5–130.0029%26 May
overpass13–30.0748%25 May
dust213–110.0421%24 May
cache2–13-0.0818%23 May
inferno13–60.0128%23 May
nuke13–00.0914%23 May
vertigo5–00.078%22 May
dust213–50.0217%22 May
cache13–40.0424%18 May
mirage13–60.0222%17 May
dust213–70.0916%15 May
cache13–9-0.0318%15 May
inferno5–13-0.0219%13 May
mirage13–70.0023%13 May
dust27–13-0.0212%13 May
mirage13–11-0.0129%12 May
dust211–13-0.0313%8 May
mirage10–13-0.0215%8 May
cache13–7-0.0438%8 May
cache12–120.0034%2 May
cache13–10-0.0116%30 Apr
cache6–13-0.0822%29 Apr
dust215–19-0.0017%25 Apr
overpass4–13-0.0219%23 Apr
anubis13–40.0722%23 Apr
dust213–80.0319%19 Apr
dust213–1-0.0423%19 Apr
dust213–20.0215%19 Apr
anubis13–90.0121%19 Apr
anubis13–100.0121%19 Apr
nuke6–130.0327%19 Apr
dust210–130.0623%19 Apr
mirage10–13-0.0523%18 Apr
inferno14–16-0.0221%18 Apr
mirage9–13-0.0141%18 Apr

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 →