eyeZ

eyeZ — CS2 Stats

76561199471869998[U:1:1511604270]Steam profile ↗✓ No bans

1,324Tracked matches39%Win rate2023Tracked since
CSDB Rating4.8 DevelopingAll-Rounder
FaceitLevel 6 · 1,169 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,169 → 1,169
+5Tracked matches · now 1,324
−1.4ppWin rate · 40.7% → 39.3%

Rating over time

Premier CS Rating: 18,479 +365 3 Jul – 19 Sept · 21 days played
17,96319,626peak 19,6263 Jul19 Sept
Faceit ELO: 1,169 +0 13 Sept – 19 Sept · 2 observations
1,1691,169peak 1,16913 Sept19 Sept
19,923Peak Premier in tracked matches
1,169Highest Faceit ELO seen on CSDB
36Days played since 2026-07-03

Faceit ELO

  • At peak — 1,169
  • Next: Level 6 at 1,201 — 32 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-13
  • Level 4 first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGeyeZFACEITLevel 6 · 1,169 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,169csdb.gg/stats

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Performance scores

Aim68
Positioning59
Utility61

0–100 skill scores via Leetify.

Recent form

COLD40–52–8Last 10040%Win rateLLLWLWLLTL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −0.4pp headshot accuracy · −11ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 522ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 524ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 530ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.8
Utility6.1
Positioning5.9
Opening Duels3.8
Clutch5.8

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

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim6.8
Positioning5.9
Utility6.1
Mechanics4.6
Opening Duels3.5
Win Impact1.4

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time541ms−50ms
first ⅓ avg 591ms → last ⅓ avg 541ms
Headshot accuracy19.6%−1.3%
first ⅓ avg 20.9% → last ⅓ avg 19.6%

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

0.13Best match rating · 13–3 · cache, 18 Jul →
40%Best headshot accuracy · 2–13 · cache, 30 Jul →
391msFastest reaction time · 7–13 · nuke, 11 Sept →
13–3Biggest win · cache, 14 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
10–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 50% over 8mirageWeakest map · 26% over 27
MapGradePlayedRecordWin rateAvg rating
mirageD277–2026%-0.00
cacheB2311–1248%0.02
infernoC156–940%0.00
ancientC104–640%-0.01
anubisB84–450%0.02
nukeD62–433%0.01
dust2D62–433%-0.02
train—22–0100%0.03
fachwerk—11–0100%0.06
boulder—10–10%-0.04
overpass—11–0100%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (26% over 27). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

40Matches
58%Win rate
1.33Avg K/D
73.7ADR
43%Headshot %

Clutches & streaks

49%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1145%1.7215.6
Cache771%1.1314.3
Dust2786%0.9713.6
Ancient650%1.0615.8
Inferno450%1.2218.3
Anubis250%0.668.0
Train10%0.7613.0
Nuke10%0.8214.0

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.

19.6%Headshot accuracy
33.7%Accuracy (enemy spotted)
37.9%Spray accuracy
70.9%Counter-strafing
9.9°Preaim
538msReaction time
44.2%T opening success
43.7%CT opening success
0.50Enemies flashed / flash
5.3%Flash assists
8.85HE damage / grenade
13.64Flashes / match

Recommended for you

Spend your practice time on Mirage

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

26% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0217%18 Oct →
nuke11–13-0.0520%18 Oct →
cache4–130.0322%17 Oct →
mirage13–100.0421%27 Sept →
mirage9–13-0.0419%14 Sept →
cache13–30.1133%14 Sept →
cache13–16-0.0419%11 Sept →
nuke7–13-0.0216%11 Sept →
inferno15–15-0.0219%11 Sept →
anubis3–13-0.019%10 Sept →
mirage13–8-0.0120%10 Sept →
inferno13–90.0519%10 Sept →
inferno9–130.0131%9 Sept →
mirage5–13-0.0615%9 Sept →
mirage5–130.0117%8 Sept →
nuke13–100.0519%8 Sept →
cache14–160.0318%8 Sept →
inferno13–110.0421%8 Sept →
cache13–60.0620%6 Sept →
mirage9–13-0.0120%6 Sept →
mirage10–13-0.0329%5 Sept →
inferno16–140.0918%4 Sept →
cache13–80.0715%4 Sept →
cache13–40.0819%4 Sept →
mirage5–130.0210%1 Sept →
train13–70.0229%1 Sept →
cache11–130.0714%1 Sept →
inferno1–13-0.107%31 Aug →
cache12–120.0423%31 Aug →
nuke10–13-0.0220%30 Aug →
ancient13–110.0323%30 Aug →
anubis6–130.0711%27 Aug →
cache5–13-0.0433%27 Aug →
mirage12–12-0.0216%27 Aug →
ancient13–11-0.0315%25 Aug →
mirage9–13-0.0415%25 Aug →
anubis13–6-0.0419%25 Aug →
inferno14–16-0.0213%23 Aug →
dust210–13-0.0623%23 Aug →
mirage13–70.0124%23 Aug →
cache4–130.0222%22 Aug →
mirage11–130.0523%22 Aug →
anubis13–11-0.0223%14 Aug →
mirage13–110.0416%14 Aug →
cache10–13-0.0325%11 Aug →
inferno3–13-0.1017%11 Aug →
mirage9–130.0530%9 Aug →
inferno9–13-0.0125%9 Aug →
cache13–10-0.0216%8 Aug →
ancient3–13-0.0724%8 Aug →
dust29–13-0.0218%8 Aug →
mirage6–13-0.0014%7 Aug →
inferno13–70.0033%7 Aug →
dust28–13-0.0122%7 Aug →
cache13–50.0738%7 Aug →
mirage15–15-0.0222%7 Aug →
mirage13–90.019%4 Aug →
mirage16–130.0418%4 Aug →
dust213–5-0.0019%4 Aug →
anubis13–60.0918%1 Aug →
inferno11–13-0.0215%1 Aug →
dust216–140.0116%1 Aug →
nuke7–130.0714%1 Aug →
mirage8–13-0.0529%1 Aug →
cache2–13-0.0640%30 Jul →
mirage4–13-0.0613%30 Jul →
inferno13–30.1015%30 Jul →
anubis15–150.0719%28 Jul →
cache13–80.0516%28 Jul →
ancient5–13-0.065%28 Jul →
cache12–120.0113%26 Jul →
anubis13–100.0531%26 Jul →
cache13–11-0.0220%21 Jul →
ancient8–130.0316%21 Jul →
mirage11–13-0.0424%21 Jul →
anubis7–13-0.0623%18 Jul →
nuke13–90.0129%18 Jul →
inferno5–13-0.0926%18 Jul →
mirage9–130.0319%18 Jul →
ancient5–130.0324%18 Jul →
cache10–130.0017%18 Jul →
mirage6–13-0.0114%18 Jul →
fachwerk13–40.069%18 Jul →
cache13–30.1316%18 Jul →
mirage12–12-0.0415%18 Jul →
train13–30.0425%18 Jul →
boulder8–13-0.0418%17 Jul →
mirage9–130.0727%16 Jul →
cache13–90.0319%16 Jul →
ancient5–13-0.0024%16 Jul →
mirage15–15-0.0413%15 Jul →
inferno13–80.0831%15 Jul →
mirage13–30.0540%15 Jul →
ancient13–6-0.0221%10 Jul →
cache13–11-0.0021%10 Jul →
inferno12–16-0.0123%10 Jul →
dust210–13-0.0223%4 Jul →
overpass13–110.0014%4 Jul →
ancient13–6-0.0024%4 Jul →
ancient4–13-0.0030%3 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 →

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