Rey

Rey — CS2 Stats

GB76561198071063115[U:1:110797387]Steam profile ↗✓ No bans

895Tracked matches57%Win rate2021Tracked since
1,713Hours in CS
CSDB Rating4.7 DevelopingSupport
Premier CS Rating22,466Top 25% of 204,219 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#48542 of 251312 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,466 +1,540 28 Mar – 27 Sept · 26 days played
20,52024,101peak 24,10128 Mar27 Sept
24,478Peak Premier in tracked matches
40Days played since 2026-03-28

Premier CS Rating

  • 1,635 below peak (24,101)
  • -702 over 30 days · declining
  • +34 over 90 days
  • Next: Red band at 25,000 — 2,534 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=13,885), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate47.9%45.7%46.8%above
Shot accuracy15.5%12.7%13.0%above
Kill/death ratio0.841.051.060.22 short
Match win rate42.9%45.7%46.3%3.4% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGReyFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,466 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim59
Positioning32
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateLWWWWLWWLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −1.5pp headshot accuracy · +81ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 658ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 608ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

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 (+2.2 against its own average).

Aim5.9
Utility4.7
Positioning3.2
Opening Duels0.3
Clutch2.0

Strong T-side openerLimited utility dependence

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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 591ms 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

Aim5.9
Positioning3.2
Utility4.7
Mechanics4.8
Opening Duels0.2
Win Impact7.2

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time583ms−66ms
first ⅓ avg 649ms → last ⅓ avg 583ms
Headshot accuracy19.5%−3.6%
first ⅓ avg 23.1% → last ⅓ avg 19.5%

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

0.11Best match rating · 13–2 · cache, 24 May →
67%Best headshot accuracy · 1–9 · anubis, 19 Apr →
422msFastest reaction time · 5–13 · anubis, 18 Jul →
13–2Biggest win · dust2, 16 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 77% over 13ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
anubisB199–1047%-0.02
cacheB168–850%-0.00
infernoA1610–663%-0.02
nukeS1310–377%-0.04
dust2A117–464%-0.02
ancientD103–730%-0.05
overpassA85–363%-0.01
mirage—43–175%-0.01
train—31–233%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,090Lifetime kills
0.84K/D
3,628Matches
42.9%Match win rate
47.9%Headshot % · Top 50% of Level 7 players
15.5%Shot accuracy · Top 50% of Level 7 players
6,334MVPs
1,713Hours (in match)
2,623Bombs planted
1,001Bombs defused

Most-used weapons

Lifetime map wins

6,406inferno
4,331dust2
3,827nuke
2,706train
783vertigo
598cbble
118office
81lake

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

Faceit stats

Combat

363Matches
51%Win rate
0.96Avg K/D
68.5ADR
48%Headshot %

Clutches & streaks

30%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis1958%0.9613.2
Mirage1759%1.6114.5
Inferno1547%0.7713.4
Ancient956%0.8813.3
Vertigo862%0.8213.8
Nuke771%1.2014.6
Dust2683%1.0816.3

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.

19.2%Headshot accuracy
32.1%Accuracy (enemy spotted)
34.6%Spray accuracy
71.7%Counter-strafing
9.7°Preaim
591msReaction time
31.3%T opening success
20.6%CT opening success
0.64Enemies flashed / flash
8.3%Flash assists
11.18HE damage / grenade
2.72Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.7196 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 31.3391% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0917%27 Sept →
nuke13–11-0.098%27 Sept →
dust213–40.0211%6 Sept →
anubis13–8-0.0316%6 Sept →
dust213–90.0414%6 Sept →
anubis7–13-0.0120%31 Aug →
cache16–13-0.0214%31 Aug →
nuke13–70.0621%31 Aug →
cache11–13-0.0117%30 Aug →
cache4–13-0.0629%30 Aug →
dust211–13-0.0416%30 Aug →
anubis9–0-0.0333%30 Aug →
anubis10–1-0.0610%30 Aug →
ancient10–13-0.0217%29 Aug →
inferno0–8-0.040%16 Aug →
dust213–2-0.0225%16 Aug →
inferno13–2-0.0610%16 Aug →
dust213–9-0.0419%16 Aug →
nuke13–3-0.0636%15 Aug →
anubis6–13-0.0116%15 Aug →
anubis3–13-0.0516%15 Aug →
mirage4–130.0135%15 Aug →
inferno13–60.0823%9 Aug →
ancient13–9-0.0326%1 Aug →
ancient7–13-0.0912%1 Aug →
inferno4–13-0.0213%1 Aug →
mirage13–6-0.0221%31 Jul →
ancient4–13-0.058%19 Jul →
anubis13–7-0.0735%19 Jul →
inferno13–50.0143%19 Jul →
cache13–70.0130%19 Jul →
cache7–130.0123%18 Jul →
anubis5–130.0111%18 Jul →
nuke13–5-0.0429%18 Jul →
inferno13–70.0314%17 Jul →
inferno13–7-0.0423%4 Jul →
anubis9–13-0.0426%3 Jul →
dust25–13-0.0618%3 Jul →
inferno13–10-0.0318%3 Jul →
anubis8–13-0.0716%27 Jun →
nuke16–14-0.0819%27 Jun →
inferno13–11-0.0515%26 Jun →
anubis13–8-0.0321%26 Jun →
ancient5–13-0.0619%13 Jun →
nuke14–160.0119%13 Jun →
inferno13–80.0126%12 Jun →
anubis7–13-0.0820%7 Jun →
ancient13–7-0.0116%7 Jun →
inferno15–150.0321%6 Jun →
overpass13–90.0018%25 May →
anubis11–13-0.0316%25 May →
mirage13–4-0.0319%25 May →
nuke7–13-0.0410%25 May →
train8–13-0.0122%24 May →
cache13–20.1117%24 May →
inferno4–13-0.0323%23 May →
overpass6–130.0420%23 May →
overpass7–13-0.0228%23 May →
cache7–130.0523%22 May →
cache13–110.0528%22 May →
dust214–16-0.0410%17 May →
inferno13–5-0.0711%17 May →
anubis16–13-0.029%17 May →
overpass13–90.0019%16 May →
inferno11–13-0.0412%10 May →
ancient9–130.007%10 May →
dust213–50.0239%10 May →
nuke13–4-0.0122%10 May →
nuke16–14-0.0432%9 May →
cache13–8-0.0135%9 May →
anubis13–60.1030%8 May →
cache9–130.0326%8 May →
cache13–30.0221%8 May →
cache13–11-0.0413%30 Apr →
train4–13-0.0329%30 Apr →
cache10–13-0.0212%30 Apr →
cache3–13-0.0721%29 Apr →
cache4–13-0.1019%29 Apr →
cache13–90.0123%29 Apr →
nuke13–9-0.0617%26 Apr →
anubis13–5-0.0022%26 Apr →
overpass13–10-0.0417%25 Apr →
overpass10–13-0.0215%25 Apr →
ancient13–4-0.0627%25 Apr →
train13–70.0220%24 Apr →
ancient14–16-0.0516%19 Apr →
overpass13–9-0.030%19 Apr →
anubis1–9-0.0267%19 Apr →
inferno13–8-0.0641%19 Apr →
anubis13–60.0112%19 Apr →
dust213–2-0.0542%18 Apr →
nuke13–5-0.0119%18 Apr →
dust213–90.0011%12 Apr →
inferno10–13-0.0026%12 Apr →
overpass13–70.0117%12 Apr →
mirage13–110.0132%11 Apr →
dust210–13-0.0530%28 Mar →
nuke10–13-0.0612%28 Mar →
anubis15–15-0.0220%28 Mar →
nuke13–11-0.1015%28 Mar →

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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