corey

corey — CS2 Stats

76561198060380181[U:1:100114453]Steam profile ↗✓ No bans

776Tracked matches43%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,933 +288 13 May – 9 Jun · 7 days played
9,64510,002peak 10,00213 May9 Jun
10,110Peak Premier in tracked matches
53Days played since 2025-02-27

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim57
Positioning41
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLLLWLLWWWT

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −1.2pp headshot accuracy · −38ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 703ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 643ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 662ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim5.7
Utility4.8
Positioning4.1
Opening Duels4.6
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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

device

Plays most like device 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 656ms 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

Aim5.7
Positioning4.1
Utility4.8
Mechanics5.4
Opening Duels2.0
Win Impact2.6

Composite 4.5/10 (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 -0.01 → last ⅓ avg -0.01
Reaction time657ms+23ms
first ⅓ avg 634ms → last ⅓ avg 657ms
Headshot accuracy28.9%+5.2%
first ⅓ avg 23.7% → last ⅓ avg 28.9%

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.

Personal bests

0.12Best match rating · 16–13 · ancient, 24 May →
53%Best headshot accuracy · 2–10 · inferno, 9 Jun →
398msFastest reaction time · 13–6 · office, 1 Mar →
13–1Biggest win · office, 13 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
10–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 62% over 42infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
officeA4226–1662%-0.01
nukeB158–753%-0.04
infernoC104–640%-0.01
anubisC52–340%0.01
ancientC52–340%0.01
dust2—41–325%0.01
vertigo—31–233%-0.02
agency—31–233%-0.00
grail—30–30%0.01
train—20–20%0.00
overpass—21–150%-0.01
mirage—20–20%0.01
cache—11–0100%-0.02
jura—11–0100%-0.07
italy—11–0100%0.04
edin—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
27%Win rate
0.81Avg K/D
65.7ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWL

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.

28.0%Headshot accuracy
30.5%Accuracy (enemy spotted)
34.5%Spray accuracy
74.5%Counter-strafing
12.0°Preaim
656msReaction time
29.4%T opening success
46.4%CT opening success
0.47Enemies flashed / flash
6.2%Flash assists
8.84HE damage / grenade
7.68Flashes / 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 12.0492° — above the 12° mark we flag

    Aim Training →
  2. 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 0.4698 — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
train6–13-0.0126%6 Aug →
dust27–130.0229%11 Jun →
anubis7–130.0015%28 May →
cache13–11-0.0219%26 May →
office10–13-0.0541%23 Jan →
office11–13-0.0430%14 Nov →
overpass13–110.0429%2 Nov →
inferno13–30.0323%2 Nov →
nuke13–90.0420%2 Nov →
office12–120.0533%31 Oct →
office13–10-0.0231%26 Oct →
train10–130.0230%25 Oct →
nuke7–13-0.0628%25 Oct →
office13–9-0.0131%24 Oct →
office13–6-0.0329%24 Oct →
nuke10–13-0.0818%24 Oct →
vertigo8–13-0.0150%22 Oct →
inferno4–13-0.0911%22 Oct →
mirage9–130.0420%21 Oct →
office6–130.0230%21 Oct →
inferno6–13-0.0433%20 Oct →
office8–13-0.0440%17 Oct →
inferno6–13-0.0119%17 Oct →
office9–13-0.0515%5 Oct →
office13–8-0.0429%1 Oct →
office13–100.0518%1 Oct →
office12–120.0226%26 Sept →
office13–9-0.0445%26 Sept →
office13–50.0029%19 Sept →
office13–11-0.0839%11 Jul →
office13–3-0.0550%22 Jun →
office13–60.0428%22 Jun →
office13–1-0.0643%13 Jun →
office8–13-0.0713%13 Jun →
office13–60.0346%13 Jun →
inferno15–15-0.0633%9 Jun →
inferno2–100.0453%9 Jun →
nuke13–11-0.046%9 Jun →
ancient5–13-0.0624%9 Jun →
office3–13-0.0030%8 Jun →
agency2–13-0.0412%7 Jun →
vertigo13–5-0.0230%7 Jun →
grail12–120.0020%7 Jun →
overpass5–13-0.0617%7 Jun →
jura13–7-0.0735%7 Jun →
office13–100.0026%6 Jun →
office13–40.1021%4 Jun →
office13–50.0336%4 Jun →
inferno7–13-0.0519%28 May →
office13–50.0435%26 May →
office13–11-0.0321%26 May →
inferno13–11-0.0041%26 May →
mirage6–13-0.0316%26 May →
nuke3–13-0.0411%26 May →
office9–13-0.0521%25 May →
grail5–130.0123%25 May →
anubis11–13-0.0110%24 May →
nuke13–9-0.0635%24 May →
ancient16–130.1215%24 May →
office13–110.0021%23 May →
agency13–50.0226%23 May →
agency10–130.0212%19 May →
nuke4–13-0.0725%18 May →
office8–130.0922%17 May →
grail10–130.0218%17 May →
italy13–30.0418%17 May →
nuke9–13-0.0327%17 May →
nuke13–9-0.0119%17 May →
dust22–13-0.0113%15 May →
nuke13–8-0.0131%15 May →
nuke4–13-0.0535%13 May →
dust213–11-0.0210%13 May →
anubis11–130.0030%13 May →
inferno13–6-0.0236%13 May →
dust210–130.0623%11 May →
inferno13–90.0534%11 May →
office11–130.0329%7 May →
office13–10-0.0519%5 May →
edin9–13-0.0811%5 May →
office10–50.0218%3 May →
office13–20.0622%3 May →
ancient16–14-0.0211%3 May →
nuke13–9-0.0329%3 May →
ancient5–13-0.0326%2 May →
ancient10–130.0519%28 Apr →
anubis13–50.0228%26 Apr →
office10–130.0429%25 Apr →
anubis13–110.0415%25 Apr →
nuke10–30.0017%19 Apr →
office13–2-0.0438%11 Apr →
office5–13-0.0130%9 Mar →
office5–13-0.0131%9 Mar →
office13–9-0.0424%7 Mar →
office6–13-0.070%3 Mar →
vertigo12–12-0.0229%3 Mar →
nuke8–13-0.0728%2 Mar →
nuke13–9-0.0545%1 Mar →
office13–6-0.0117%1 Mar →
office13–5-0.0414%1 Mar →
office13–5-0.0425%27 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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