cYrix

cYrix — CS2 Stats

DK76561197999715413[U:1:39449685]Steam profile ↗✓ No bans

2,824Tracked matches50%Win rate2020Tracked since
5,504Hours in CS31Hrs last 2 wks
CSDB Rating3.5 LearningSupport
Premier CS Rating14,254Blue band · top ~32.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (yesterday). 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: 14,254 +1,500 1 Sept – 25 Oct · 44 days played
11,58714,999peak 14,9991 Sept25 Oct
14,999Peak Premier in tracked matches
44Days played since 2026-09-01

Premier CS Rating

  • 745 below peak (14,999)
  • +941 over 30 days · improving
  • Next: Purple band at 15,000 — 746 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate40.7%42.7%43.8%3.0% short
Shot accuracy10.3%11.2%12.0%1.7% short
Kill/death ratio0.920.991.020.10 short
Match win rate43.7%43.9%44.7%1.0% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcYrixFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,254 · Blue 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

Aim17
Positioning62
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLLWTWWLLLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −0.6pp headshot accuracy · +15ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 592ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 627ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 619ms

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).

Aim1.7
Utility7.2
Positioning6.2
Opening Duels2.4
Clutch4.2

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.

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 52% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 613ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.7
Positioning6.2
Utility7.2
Mechanics0.2
Opening Duels3.5
Win Impact5.0

Composite 3.5/10 (Learning), 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+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time617ms+5ms
first ⅓ avg 612ms → last ⅓ avg 617ms
Headshot accuracy15.7%+0.4%
first ⅓ avg 15.3% → last ⅓ avg 15.7%

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

0.15Best match rating · 13–3 · nuke, 21 Oct →
30%Best headshot accuracy · 6–13 · nuke, 17 Sept →
375msFastest reaction time · 16–13 · inferno, 19 Sept →
13–0Biggest win · nuke, 20 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
10–5In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 67% over 24mirageWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
nukeA2616–1062%0.01
infernoS2416–867%0.01
ancientA159–660%0.00
dust2C145–936%-0.01
mirageD101–910%-0.06
anubisD81–713%-0.02
cache—30–30%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (10% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,995Lifetime kills
0.92K/D
5,883Matches
43.7%Match win rate
40.7%Headshot %
10.3%Shot accuracy
11,153MVPs
2,893Hours (in match)
10,991Bombs planted
1,665Bombs defused

Most-used weapons

AK-4717,773
SG 55310,252
AUG9,311
MP77,585
MAC-106,824
AWP3,408
P2502,858

Lifetime map wins

17,231inferno
14,893nuke
6,758dust2
4,166vertigo
3,019train
582cbble
107office
14bank

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

Faceit stats

Combat

201Matches
51%Win rate
0.78Avg K/D
61.3ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1182%1.1011.8
Mirage933%0.6410.4
Dust2757%0.728.7
Ancient743%0.8811.1
Nuke650%0.7410.3
Overpass425%0.9112.3
Train367%0.738.0
Vertigo30%0.609.7

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.

15.6%Headshot accuracy
26.5%Accuracy (enemy spotted)
32.0%Spray accuracy
50.9%Counter-strafing
13.5°Preaim
613msReaction time
52.3%T opening success
35.5%CT opening success
0.63Enemies flashed / flash
7.6%Flash assists
8.91HE damage / grenade
14.66Flashes / 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 13.5152° — above the 12° mark we flag

    Aim Training →
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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient14–16-0.0219%25 Oct →
inferno8–13-0.0014%24 Oct →
dust216–130.0416%23 Oct →
inferno15–15-0.0218%23 Oct →
inferno13–40.1326%23 Oct →
ancient13–50.0110%23 Oct →
mirage9–13-0.039%23 Oct →
dust26–13-0.0212%22 Oct →
nuke6–13-0.0419%21 Oct →
nuke13–30.1511%21 Oct →
ancient13–40.0311%21 Oct →
dust210–13-0.0323%21 Oct →
dust216–140.0320%20 Oct →
inferno13–20.0217%20 Oct →
nuke13–60.0716%18 Oct →
dust27–13-0.0120%18 Oct →
nuke13–80.0113%18 Oct →
inferno15–15-0.049%18 Oct →
anubis5–13-0.0217%17 Oct →
dust210–13-0.0214%17 Oct →
nuke13–16-0.0016%17 Oct →
inferno16–130.0012%17 Oct →
nuke16–140.0815%16 Oct →
anubis7–13-0.0720%16 Oct →
inferno13–80.0516%16 Oct →
nuke13–30.0415%15 Oct →
inferno13–100.0020%15 Oct →
inferno9–13-0.0715%14 Oct →
mirage7–13-0.0514%13 Oct →
mirage8–13-0.0416%12 Oct →
dust213–70.0221%12 Oct →
mirage8–130.0219%12 Oct →
anubis8–13-0.058%11 Oct →
ancient5–13-0.048%11 Oct →
dust20–13-0.0325%11 Oct →
nuke15–150.0111%10 Oct →
inferno13–60.0310%10 Oct →
nuke13–90.0714%10 Oct →
dust216–140.0114%10 Oct →
mirage1–13-0.1520%9 Oct →
ancient11–13-0.0019%9 Oct →
nuke8–130.0120%7 Oct →
inferno11–130.0118%6 Oct →
ancient13–8-0.0214%6 Oct →
dust28–13-0.0821%5 Oct →
ancient13–5-0.0415%4 Oct →
inferno13–110.0021%4 Oct →
cache14–160.0025%4 Oct →
dust210–130.0012%3 Oct →
inferno13–11-0.0416%3 Oct →
mirage8–13-0.0421%3 Oct →
dust25–13-0.0415%3 Oct →
nuke9–13-0.0526%1 Oct →
nuke13–90.0111%1 Oct →
nuke8–13-0.0512%30 Sept →
ancient13–9-0.0026%30 Sept →
nuke13–9-0.0113%29 Sept →
nuke13–3-0.0215%29 Sept →
nuke13–80.0116%28 Sept →
inferno13–10.0224%28 Sept →
anubis7–130.023%26 Sept →
dust213–100.0221%26 Sept →
ancient13–11-0.036%25 Sept →
inferno12–70.0413%25 Sept →
dust24–13-0.0321%25 Sept →
ancient10–13-0.0414%24 Sept →
mirage16–14-0.0414%24 Sept →
inferno7–13-0.0316%24 Sept →
nuke8–13-0.0126%23 Sept →
nuke8–13-0.0513%23 Sept →
nuke13–50.0016%22 Sept →
inferno10–13-0.0415%21 Sept →
ancient8–130.0227%21 Sept →
nuke13–00.0410%20 Sept →
inferno6–13-0.0411%20 Sept →
anubis10–130.0310%20 Sept →
mirage2–13-0.056%19 Sept →
ancient13–90.0111%19 Sept →
inferno16–130.0313%19 Sept →
ancient12–160.0211%19 Sept →
nuke16–14-0.0225%17 Sept →
nuke6–13-0.0330%17 Sept →
inferno13–70.0527%16 Sept →
inferno13–40.039%13 Sept →
anubis13–8-0.0112%13 Sept →
anubis8–13-0.106%11 Sept →
ancient13–70.1016%10 Sept →
nuke13–90.0311%10 Sept →
inferno13–10-0.0117%9 Sept →
ancient13–80.0321%7 Sept →
nuke13–5-0.0112%7 Sept →
cache11–130.0319%6 Sept →
mirage2–13-0.0520%6 Sept →
inferno13–110.0120%6 Sept →
nuke10–13-0.019%6 Sept →
mirage3–13-0.138%6 Sept →
anubis10–130.0614%4 Sept →
cache6–13-0.0317%4 Sept →
nuke13–11-0.019%2 Sept →
inferno13–40.0319%1 Sept →

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.