spY.d0x

spY.d0x — CS2 Stats

PA76561198217707500[U:1:257441772]Steam profile ↗✓ No bans

2,765Tracked matches52%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
FaceitLevel 9 · 1,858 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

+63Tracked matches · now 2,765
−6.9ppWin rate · 58.6% → 51.7%

Rating over time

Premier CS Rating: 17,089 -350 7 Oct – 16 Jun · 23 days played
16,78920,115peak 20,1157 Oct16 Jun
20,115Peak Premier in tracked matches
1,858Highest Faceit ELO seen on CSDB
82Days played since 2025-10-07

Faceit ELO

  • At peak — 1,858
  • Next: Level 10 at 2,001 — 143 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-06
  • Level 8 first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGspY.d0xFACEITLevel 9 · 1,858 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,858csdb.gg/stats

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Performance scores

Aim75
Positioning69
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateWWLLLWLLWW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +4.7pp headshot accuracy · −66ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 510ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 548ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 581ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim7.5
Utility6.4
Positioning6.9
Opening Duels4.7
Clutch2.4

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 85% 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 →

Strengths & areas to improve

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 569ms 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

Aim7.5
Positioning6.9
Utility6.4
Mechanics5.9
Opening Duels6.9
Win Impact5.6

Composite 6.4/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time576ms−49ms
first ⅓ avg 625ms → last ⅓ avg 576ms
Headshot accuracy16.2%−2.8%
first ⅓ avg 19.1% → last ⅓ avg 16.2%

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.

Personal bests

0.19Best match rating · 8–13 · dust2, 31 Oct →
38%Best headshot accuracy · 8–13 · dust2, 31 Oct →
406msFastest reaction time · 13–4 · nuke, 26 Mar →
13–2Biggest win · anubis, 24 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
10–19In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2615–1158%0.03
mirageB2413–1154%0.01
nukeB137–654%-0.02
infernoC135–838%-0.02
ancientD122–1017%-0.02
anubisS54–180%-0.01
cache—31–233%-0.03
overpass—20–20%-0.01
train—20–20%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,972Matches
49%Win rate
1.04Avg K/D
80.8ADR
40%Headshot %

Clutches & streaks

32%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage72148%1.0516.2
Dust244851%1.0515.7
Inferno41848%1.0515.7
Ancient39352%1.0216.3
Anubis28948%1.0215.3
Nuke17248%0.9815.5
Vertigo11054%1.0114.9
Overpass7247%1.0015.0

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.

15.9%Headshot accuracy
39.1%Accuracy (enemy spotted)
39.2%Spray accuracy
76.7%Counter-strafing
9.3°Preaim
569msReaction time
62.5%T opening success
52.6%CT opening success
0.58Enemies flashed / flash
8.4%Flash assists
9.00HE damage / grenade
17.29Flashes / match

Recommended for you

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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0213%9 Nov →
anubis13–110.0513%8 Nov →
cache17–190.0116%8 Nov →
nuke10–13-0.0023%1 Nov →
ancient14–160.0413%26 Oct →
dust213–70.0628%23 Oct →
ancient11–13-0.039%23 Oct →
dust217–190.0122%23 Oct →
mirage13–90.0416%18 Oct →
mirage13–60.0827%18 Oct →
inferno11–13-0.0412%1 Oct →
dust213–7-0.016%1 Oct →
cache7–13-0.047%1 Oct →
nuke13–11-0.012%19 Sept →
inferno13–90.0416%18 Sept →
mirage13–110.0616%18 Sept →
nuke2–13-0.076%17 Sept →
mirage23–25-0.0417%15 Sept →
mirage13–70.0334%13 Sept →
dust26–130.0516%11 Sept →
nuke13–6-0.0313%9 Sept →
mirage13–160.0014%3 Sept →
ancient10–13-0.0427%3 Sept →
nuke9–13-0.0412%1 Sept →
mirage13–90.0414%19 Aug →
mirage16–130.0418%15 Aug →
mirage11–130.0317%10 Aug →
nuke13–11-0.029%5 Aug →
anubis13–20.007%24 Jul →
dust212–120.0326%19 Jul →
dust216–14-0.0118%10 Jul →
nuke13–8-0.0423%8 Jul →
ancient13–9-0.0124%6 Jul →
mirage5–13-0.0220%3 Jul →
dust213–30.0637%30 Jun →
inferno13–5-0.039%17 Jun →
nuke10–1-0.030%16 Jun →
mirage13–30.027%16 Jun →
cache13–8-0.0515%12 Jun →
dust215–190.0318%6 Jun →
ancient11–13-0.0421%23 May →
anubis12–16-0.0510%21 May →
mirage10–13-0.0121%19 May →
mirage13–110.0210%15 May →
dust211–13-0.0613%10 May →
nuke14–16-0.0811%18 Apr →
nuke11–13-0.0015%17 Apr →
dust213–20.1014%13 Apr →
overpass14–16-0.0310%12 Apr →
nuke13–60.0617%10 Apr →
dust213–11-0.0316%6 Apr →
inferno15–19-0.0122%4 Apr →
mirage11–13-0.0214%30 Mar →
overpass9–130.0011%30 Mar →
nuke13–4-0.0219%26 Mar →
ancient7–13-0.0513%25 Mar →
inferno3–13-0.0613%21 Mar →
mirage6–13-0.016%19 Mar →
dust213–100.0115%13 Mar →
dust213–20.0421%8 Mar →
dust213–20.0230%8 Mar →
anubis13–10-0.036%7 Mar →
mirage13–30.0725%4 Mar →
mirage11–130.0425%22 Feb →
ancient11–13-0.0512%17 Feb →
anubis13–90.0017%7 Feb →
inferno8–13-0.0221%4 Feb →
dust213–40.1217%30 Jan →
inferno11–13-0.0329%29 Jan →
dust211–130.0418%29 Jan →
dust211–13-0.0119%27 Jan →
inferno13–60.0422%27 Jan →
dust213–11-0.0315%8 Jan →
inferno16–140.0322%27 Dec →
train10–130.0115%27 Dec →
ancient14–16-0.0218%26 Dec →
mirage5–13-0.0317%26 Dec →
dust28–130.0528%26 Dec →
mirage3–13-0.0529%25 Dec →
inferno8–130.0226%24 Dec →
ancient4–13-0.0421%23 Dec →
mirage13–30.0116%12 Dec →
dust213–3-0.0311%7 Dec →
dust26–130.0113%6 Dec →
dust213–8-0.0618%3 Dec →
dust29–130.1019%14 Nov →
ancient10–130.0216%10 Nov →
mirage3–13-0.0322%10 Nov →
nuke10–13-0.0214%4 Nov →
dust213–60.0611%2 Nov →
dust28–130.1938%31 Oct →
mirage13–6-0.0325%29 Oct →
mirage13–70.0827%25 Oct →
ancient13–9-0.087%25 Oct →
inferno13–5-0.0513%22 Oct →
train6–130.0125%20 Oct →
inferno7–13-0.0912%18 Oct →
dust213–80.0022%16 Oct →
inferno15–190.0013%9 Oct →
ancient10–130.0413%7 Oct →

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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