Oryx_

Oryx_ — CS2 Stats

LY76561198027366130[U:1:67100402]Steam profile ↗✓ No bans

1,132Tracked matches57%Win rate2020Tracked since
3,720Hours in CS8Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating21,825Top 50% of 215,558 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#59394 of 261689 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 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: 21,825 +6,255 3 Aug – 11 Nov · 25 days played
15,57022,138peak 22,1383 Aug11 Nov
22,185Peak Premier in tracked matches
41Days played since 2026-07-26

Premier CS Rating

  • 313 below peak (22,138)
  • +490 over 30 days · improving
  • +4,997 over 90 days
  • Next: Red band at 25,000 — 3,175 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-07
  • 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=14,948), 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 rate46.4%45.7%46.8%meets
Shot accuracy13.9%12.7%13.0%above
Kill/death ratio1.141.051.06above
Match win rate44.0%45.7%46.3%2.3% short

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGOryx_FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER21,825 · 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

Aim64
Positioning64
Utility55

0–100 skill scores via Leetify.

Recent form

HOT54–40–6Last 10054%Win rateWLWWWLWWWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −4.0pp headshot accuracy · +4ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 575ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 590ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 588ms

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 (+0.9 against its own average).

Aim6.4
Utility5.5
Positioning6.4
Opening Duels5.3
Clutch4.8

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

jL

Plays most like jL 90% 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 574ms 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

Aim6.4
Positioning6.4
Utility5.5
Mechanics5.3
Opening Duels7.1
Win Impact7.2

Composite 6.4/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time570ms+26ms
first ⅓ avg 544ms → last ⅓ avg 570ms
Headshot accuracy18.8%+1.2%
first ⅓ avg 17.6% → last ⅓ avg 18.8%

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

0.29Best match rating · 6–2 · rush_001, 8 Oct →
44%Best headshot accuracy · 10–13 · dust2, 24 Oct →
375msFastest reaction time · 6–2 · rush_001, 8 Oct →
13–0Biggest win · ancient, 16 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 86% over 7dust2Weakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
dust2C239–1439%0.02
mirageA2113–862%0.02
infernoC156–940%0.01
ancientA149–564%0.03
cacheA116–555%0.02
anubisA74–357%-0.01
nukeS76–186%0.01
rush_001—11–0100%0.29
vertigo—10–10%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,396Lifetime kills
1.14K/D · Top 50% of Level 7 players
5,761Matches
44.0%Match win rate
46.4%Headshot % · Top 50% of Level 7 players
13.9%Shot accuracy · Top 50% of Level 7 players
20,984MVPs
3,081Hours (in match)
6,064Bombs planted
2,688Bombs defused

Most-used weapons

AK-4757,615
AWP10,077
SG 5533,201
P2502,323
FAMAS1,650

Lifetime map wins

11,937dust2
7,056inferno
1,996train
1,304nuke
1,156cbble
483vertigo
146office
125italy

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

Faceit stats

Combat

175Matches
57%Win rate
1.17Avg K/D
90.9ADR
45%Headshot %

Clutches & streaks

44%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage786%1.7016.3
Nuke540%1.1321.4
Ancient560%1.2017.8
Inferno250%0.649.5
Dust220%0.9614.5
Anubis2100%1.4817.0

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.

19.0%Headshot accuracy
30.9%Accuracy (enemy spotted)
33.8%Spray accuracy
74.0%Counter-strafing
8.4°Preaim
574msReaction time
62.0%T opening success
55.1%CT opening success
0.63Enemies flashed / flash
5.7%Flash assists
10.31HE damage / grenade
5.10Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0116%11 Nov →
inferno9–130.0114%11 Nov →
mirage13–70.0117%9 Nov →
mirage13–60.0312%9 Nov →
inferno13–11-0.0117%9 Nov →
inferno10–13-0.0426%8 Nov →
mirage13–40.0717%4 Nov →
dust213–7-0.0213%2 Nov →
inferno13–70.0217%2 Nov →
cache8–13-0.0511%31 Oct →
dust213–8-0.0224%31 Oct →
anubis11–13-0.0120%31 Oct →
nuke13–100.0022%31 Oct →
inferno13–8-0.0415%31 Oct →
mirage10–130.0515%30 Oct →
nuke7–130.0221%30 Oct →
mirage10–13-0.0012%26 Oct →
anubis13–100.0427%24 Oct →
dust210–13-0.0423%24 Oct →
ancient10–130.0720%24 Oct →
cache11–130.0019%24 Oct →
dust210–13-0.0344%24 Oct →
nuke13–6-0.0616%19 Oct →
dust26–13-0.0115%19 Oct →
ancient13–70.0610%19 Oct →
mirage13–50.0718%19 Oct →
anubis13–4-0.0017%17 Oct →
ancient13–00.1021%16 Oct →
mirage13–110.0321%12 Oct →
dust23–13-0.0222%12 Oct →
ancient13–50.0425%12 Oct →
ancient13–160.0221%12 Oct →
mirage13–8-0.0513%9 Oct →
cache13–80.0715%9 Oct →
dust212–120.1215%9 Oct →
ancient13–4-0.0325%8 Oct →
rush_0016–20.2924%8 Oct →
ancient3–13-0.029%8 Oct →
mirage13–9-0.0314%8 Oct →
nuke19–160.0316%7 Oct →
ancient13–90.0221%6 Oct →
cache11–130.0216%5 Oct →
inferno7–130.0416%5 Oct →
dust20–13-0.0929%5 Oct →
mirage13–40.1019%2 Oct →
ancient12–120.0013%28 Sept →
mirage13–110.0618%28 Sept →
inferno13–110.0421%28 Sept →
inferno12–120.0213%26 Sept →
cache13–70.0225%26 Sept →
dust210–130.0126%23 Sept →
anubis5–13-0.0724%22 Sept →
dust213–90.1211%15 Sept →
inferno4–130.0322%15 Sept →
dust210–13-0.0216%12 Sept →
inferno8–130.0216%6 Sept →
anubis13–8-0.0324%6 Sept →
inferno7–13-0.0719%5 Sept →
cache13–11-0.0223%5 Sept →
mirage13–90.028%5 Sept →
mirage13–7-0.0018%5 Sept →
vertigo11–130.1019%2 Sept →
cache13–60.0519%2 Sept →
dust28–130.0611%29 Aug →
ancient8–130.0422%29 Aug →
cache7–13-0.0229%29 Aug →
dust212–120.0417%29 Aug →
nuke13–20.0418%29 Aug →
dust213–4-0.0316%29 Aug →
inferno13–70.0617%28 Aug →
ancient13–90.0618%28 Aug →
inferno13–80.0713%25 Aug →
dust213–8-0.0513%25 Aug →
cache16–130.0212%25 Aug →
cache13–30.0821%25 Aug →
mirage13–160.0510%25 Aug →
mirage3–13-0.0612%23 Aug →
ancient13–9-0.0013%23 Aug →
dust213–60.0818%21 Aug →
nuke13–70.0526%21 Aug →
cache11–130.0718%13 Aug →
mirage13–50.1026%13 Aug →
anubis11–13-0.0013%9 Aug →
dust213–90.0921%9 Aug →
nuke13–7-0.0119%8 Aug →
mirage9–13-0.067%8 Aug →
dust212–120.0615%8 Aug →
inferno9–130.0124%8 Aug →
mirage16–130.0213%8 Aug →
dust29–13-0.0120%4 Aug →
inferno12–120.0118%4 Aug →
mirage3–13-0.0616%3 Aug →
dust213–30.0416%3 Aug →
mirage12–16-0.0114%2 Aug →
ancient13–60.0325%2 Aug →
ancient13–50.0119%2 Aug →
dust28–130.0726%2 Aug →
mirage9–130.0918%27 Jul →
dust213–40.1127%27 Jul →
dust27–13-0.0220%26 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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