corey! — CS2 Stats

76561198126183733[U:1:165918005]

1,088Tracked matches50%Win rate2023Tracked since
CSDB Rating5.1 DevelopingPassive Rifler
Premier CS Rating19,107Purple band · top ~12.1% of ranked players (population est.)
CSDB Leaderboard#12289 of 26201 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGcorey!FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER19,107 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning40
Utility62

0–100 skill scores via Leetify.

Recent form

HOT51454Last 10051%Win rateWWWLWWLWWL

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

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

Aim6.5
Aggression4.3
Utility6.2
Positioning4.0
Opening Duels1.1

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 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 571ms 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

Aim6.5
Positioning4.0
Utility6.2
Mechanics5.2
Opening Duels1.1
Win Impact5.0

Composite 5.1/10 (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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time583ms−56ms
first ⅓ avg 639ms → last ⅓ avg 583ms
Headshot accuracy17.2%+3.6%
first ⅓ avg 13.6% → last ⅓ avg 17.2%

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

0.10Best rating — inferno 7–13
130Biggest win — dust2
5Longest win streak
W3Current streak
75In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 75% over 28infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2S2821775%-0.01
mirageC2291341%-0.00
cacheD2061430%-0.01
ancientA148657%-0.01
infernoD82625%-0.00
nukeA74357%0.01
anubis110100%-0.03

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.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.7%Headshot accuracy
35.4%Accuracy (enemy spotted)
31.1%Spray accuracy
73.2%Counter-strafing
8.7°Preaim
571msReaction time
30.8%T opening success
38.3%CT opening success
0.60Enemies flashed / flash
9.5%Flash assists
8.34HE damage / grenade
8.02Flashes / 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 30.7774% — below the 40% mark we flag

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
dust216–140.0123%29 Aug
mirage13–9-0.0418%29 Aug
dust213–30.0736%29 Aug
dust210–13-0.0515%29 Aug
cache13–4-0.0330%27 Aug
dust213–60.039%27 Aug
cache8–13-0.0310%27 Aug
mirage10–10.1017%27 Aug
dust213–4-0.0410%27 Aug
dust211–13-0.0417%26 Aug
ancient6–13-0.0513%26 Aug
mirage2–13-0.0517%26 Aug
mirage13–40.0019%25 Aug
cache10–130.0525%25 Aug
mirage7–13-0.019%25 Aug
dust213–8-0.0117%25 Aug
ancient13–30.0318%24 Aug
inferno13–16-0.0215%24 Aug
cache13–90.0110%24 Aug
mirage5–13-0.0222%24 Aug
inferno7–13-0.0016%22 Aug
mirage0–3-0.0925%22 Aug
mirage13–60.079%22 Aug
dust213–90.0121%22 Aug
ancient13–8-0.0314%22 Aug
cache10–13-0.0116%22 Aug
mirage7–13-0.0116%22 Aug
cache10–13-0.0915%20 Aug
dust213–70.0112%19 Aug
nuke8–130.0214%19 Aug
inferno11–13-0.0217%18 Aug
nuke11–130.0021%18 Aug
dust213–6-0.0020%17 Aug
dust25–13-0.0515%17 Aug
dust213–7-0.000%17 Aug
inferno11–13-0.0418%16 Aug
cache13–30.0718%16 Aug
mirage6–13-0.006%16 Aug
nuke5–13-0.0226%15 Aug
nuke13–3-0.0017%15 Aug
dust24–13-0.069%15 Aug
ancient13–11-0.0123%15 Aug
mirage6–13-0.0425%15 Aug
anubis13–1-0.0314%14 Aug
ancient16–13-0.0515%14 Aug
mirage13–10.0311%13 Aug
ancient7–13-0.0514%13 Aug
nuke13–60.0624%13 Aug
inferno16–130.078%13 Aug
dust213–10-0.0320%13 Aug
mirage13–110.0421%12 Aug
dust213–00.008%12 Aug
ancient5–13-0.0220%12 Aug
cache12–12-0.018%11 Aug
ancient3–13-0.0013%11 Aug
cache1–8-0.0021%11 Aug
dust213–11-0.0117%10 Aug
ancient11–130.0218%9 Aug
cache6–130.0119%9 Aug
cache8–130.0529%8 Aug
inferno5–13-0.050%8 Aug
cache5–13-0.0714%7 Aug
mirage13–8-0.0213%7 Aug
ancient13–8-0.019%6 Aug
dust215–15-0.0313%6 Aug
cache13–60.0618%6 Aug
mirage15–150.0411%4 Aug
cache15–15-0.0515%4 Aug
dust213–3-0.0013%3 Aug
dust213–110.0216%3 Aug
inferno13–8-0.0214%2 Aug
dust29–13-0.0516%2 Aug
nuke13–60.0313%2 Aug
ancient13–9-0.0410%2 Aug
ancient5–130.026%31 Jul
mirage7–13-0.0413%31 Jul
mirage13–50.0018%31 Jul
dust22–13-0.1111%31 Jul
dust213–110.0419%31 Jul
cache8–13-0.059%31 Jul
mirage7–130.0317%29 Jul
cache13–90.0111%29 Jul
inferno7–130.108%29 Jul
dust28–30.0113%29 Jul
dust213–20.0729%29 Jul
ancient13–80.0114%28 Jul
mirage5–13-0.029%28 Jul
dust213–10-0.0215%28 Jul
cache8–13-0.0611%28 Jul
cache9–130.0211%27 Jul
dust213–40.028%27 Jul
dust213–100.0213%27 Jul
dust212–5-0.0216%27 Jul
nuke13–5-0.0017%26 Jul
mirage8–13-0.066%26 Jul
cache13–110.0521%25 Jul
mirage13–90.057%25 Jul
ancient13–80.0117%25 Jul
mirage5–13-0.0416%24 Jul
cache5–13-0.0415%24 Jul

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 →