onlinerage

onlinerage — CS2 Stats

76561198032016166[U:1:71750438]Steam profile ↗✓ No bans

2,029Tracked matches40%Win rate2021Tracked since
3,883Hours in CS18Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 8 · 1,918 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 15,000 -2,582 15 Sept – 11 Nov · 16 days played
15,00018,333peak 18,33315 Sept11 Nov
18,649Peak Premier in tracked matches
1,918Highest Faceit ELO seen on CSDB
35Days played since 2026-09-03

Faceit ELO

  • At peak — 1,918
  • Next: Level 10 at 2,001 — 83 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-15
  • Level 8 first seen 2026-09-15

Premier CS Rating

  • 3,333 below peak (18,333)
  • -3,290 over 30 days · declining
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate62.3%46.8%48.2%above
Shot accuracy10.7%13.0%13.2%2.5% short
Kill/death ratio1.011.061.070.06 short
Match win rate40.7%46.3%46.9%6.2% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGonlinerageFACEITLevel 8 · 1,918 ELOSTANDINGTop 31.2% of rankedPREMIER15,000 · Purple bandPEAK ELO1,918csdb.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
Positioning63
Utility57

0–100 skill scores via Leetify.

Recent form

COLD45–55Last 10045%Win rateLWLLLLWLLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −4.9pp headshot accuracy · +7ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 26%
  • Avg reaction 725ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 641ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 30%
  • Avg reaction 637ms

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 (+1.6 against its own average).

Aim6.4
Utility5.7
Positioning6.3
Opening Duels4.0
Clutch2.6

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 82% 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

Areas to improve

Reaction time. 624ms 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
Positioning6.3
Utility5.7
Mechanics5.6
Opening Duels5.2
Win Impact1.7

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time620ms+13ms
first ⅓ avg 607ms → last ⅓ avg 620ms
Headshot accuracy28.8%−3.3%
first ⅓ avg 32.1% → last ⅓ avg 28.8%

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

0.16Best match rating · 13–2 · nuke, 18 Sept →
48%Best headshot accuracy · 5–13 · nuke, 22 Sept →
414msFastest reaction time · 9–13 · ancient, 23 Oct →
13–1Biggest win · cache, 7 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak
12–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 65% over 20nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoS2013–765%-0.01
ancientC198–1142%-0.02
anubisC187–1139%-0.00
cacheC177–1041%-0.00
nukeD134–931%-0.03
dust2B84–450%-0.01
mirage—41–325%-0.02
vertigo—11–0100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,918Lifetime kills
1.01K/D
5,549Matches
40.7%Match win rate
62.3%Headshot % · Top 10% of Level 8 players
10.7%Shot accuracy
12,062MVPs
3,080Hours (in match)
6,508Bombs planted
1,055Bombs defused

Most-used weapons

AK-4754,815
AWP7,694
P2506,228
MP92,725
P902,371

Lifetime map wins

10,666inferno
5,710nuke
5,244dust2
3,137train
913cbble
851vertigo
218office
124lake

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

Faceit stats

Combat

693Matches
50%Win rate
1.05Avg K/D
77.2ADR
57%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient16854%1.0215.4
Anubis15055%1.1315.2
Inferno13646%1.0615.4
Nuke9456%1.1015.8
Overpass4141%0.9114.3
Train2934%0.9215.1
Cache1540%0.8513.7
Vertigo1258%1.0914.6

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.

29.4%Headshot accuracy
28.8%Accuracy (enemy spotted)
27.7%Spray accuracy
75.1%Counter-strafing
9.1°Preaim
624msReaction time
52.9%T opening success
48.4%CT opening success
0.51Enemies flashed / flash
7.3%Flash assists
7.91HE damage / grenade
14.05Flashes / match

Recommended for you

Spend your practice time on Nuke

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.1232%12 Nov →
nuke13–9-0.0925%12 Nov →
ancient9–130.0229%12 Nov →
dust28–13-0.0920%11 Nov →
cache2–13-0.0624%11 Nov →
nuke15–19-0.0024%11 Nov →
inferno13–5-0.0420%11 Nov →
cache9–13-0.0127%9 Nov →
cache5–130.0847%7 Nov →
cache13–10.1130%7 Nov →
dust212–160.0437%7 Nov →
dust213–100.0446%7 Nov →
ancient9–130.0231%7 Nov →
inferno3–130.0228%7 Nov →
anubis13–50.0224%5 Nov →
anubis13–9-0.0246%5 Nov →
nuke5–13-0.0619%5 Nov →
cache10–130.0428%4 Nov →
cache6–130.0035%2 Nov →
dust216–130.0531%2 Nov →
cache6–13-0.0336%31 Oct →
anubis13–11-0.0129%30 Oct →
cache13–100.0223%30 Oct →
nuke5–13-0.0418%25 Oct →
mirage13–90.0836%25 Oct →
mirage5–13-0.0713%25 Oct →
cache13–11-0.1033%25 Oct →
nuke4–13-0.1223%25 Oct →
ancient9–130.0128%23 Oct →
cache13–9-0.0232%23 Oct →
ancient13–10-0.0133%23 Oct →
cache10–130.0128%22 Oct →
mirage5–13-0.0518%22 Oct →
anubis10–130.0131%22 Oct →
anubis9–130.0124%22 Oct →
cache13–16-0.0232%21 Oct →
ancient7–13-0.0529%21 Oct →
anubis13–70.0235%20 Oct →
ancient7–130.0229%20 Oct →
inferno10–130.0018%20 Oct →
ancient8–13-0.0527%20 Oct →
dust28–13-0.0346%20 Oct →
dust23–13-0.0424%20 Oct →
inferno13–90.0130%16 Oct →
ancient13–16-0.0623%15 Oct →
inferno13–8-0.0031%15 Oct →
inferno13–10-0.0428%11 Oct →
anubis16–140.0736%11 Oct →
anubis7–13-0.0234%11 Oct →
ancient16–140.0025%10 Oct →
inferno13–60.0629%7 Oct →
cache13–10-0.0326%7 Oct →
mirage17–19-0.0528%4 Oct →
anubis4–13-0.128%3 Oct →
nuke8–13-0.0432%2 Oct →
anubis11–13-0.0431%2 Oct →
anubis16–140.0130%30 Sept →
ancient11–13-0.0632%24 Sept →
inferno9–70.0136%24 Sept →
anubis11–13-0.0427%24 Sept →
anubis5–13-0.0334%24 Sept →
ancient4–13-0.0732%24 Sept →
nuke10–13-0.0948%24 Sept →
anubis7–13-0.0340%23 Sept →
inferno16–14-0.0125%23 Sept →
cache13–10-0.0325%23 Sept →
dust213–11-0.0329%23 Sept →
ancient13–6-0.1020%22 Sept →
nuke5–130.0148%22 Sept →
anubis8–130.0230%22 Sept →
nuke13–90.0824%20 Sept →
vertigo13–110.0030%19 Sept →
ancient11–13-0.0432%19 Sept →
inferno4–13-0.0346%19 Sept →
anubis13–20.0924%18 Sept →
nuke13–20.1631%18 Sept →
inferno15–19-0.0228%18 Sept →
cache9–130.0133%18 Sept →
nuke13–60.0130%18 Sept →
ancient13–1-0.0731%18 Sept →
inferno19–17-0.0328%18 Sept →
inferno13–80.0240%18 Sept →
inferno13–5-0.0137%17 Sept →
inferno13–8-0.0239%17 Sept →
inferno13–7-0.0329%17 Sept →
dust213–50.0141%17 Sept →
ancient13–11-0.0539%16 Sept →
inferno11–130.0332%16 Sept →
ancient13–40.0520%15 Sept →
nuke0–9-0.2125%15 Sept →
ancient9–130.0326%5 Sept →
anubis11–13-0.0643%5 Sept →
anubis6–130.0435%5 Sept →
inferno3–13-0.0632%4 Sept →
cache4–13-0.0827%4 Sept →
nuke7–13-0.0135%4 Sept →
cache19–170.0238%3 Sept →
ancient13–60.0542%3 Sept →
inferno13–50.0526%3 Sept →
ancient13–9-0.0318%3 Sept →

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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