老齢老人

老齢老人 — CS2 Stats

JP76561198349736781[U:1:389471053]Steam profile ↗✓ No bans

4,331Tracked matches59%Win rate2020Tracked since
10,227Hours in CS112Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
Premier CS Rating20,670Top 50% of 212,910 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#74033 of 259662 tracked
FaceitLevel 9 · 1,257 ELOTop 20.7% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

−977Premier CS Rating · 21,647 → 20,670

Rating over time

Premier CS Rating: 20,670 -1,315 4 Aug – 3 Nov · 23 days played
20,00022,289peak 22,2894 Aug3 Nov
22,533Peak Premier in tracked matches
1,257Highest Faceit ELO seen on CSDB
43Days played since 2026-07-29

Faceit ELO

  • At peak — 1,257
  • Next: Level 7 at 1,351 — 94 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 1,619 below peak (22,289)
  • +670 over 30 days · improving
  • -1,333 over 90 days
  • Next: Red band at 25,000 — 4,330 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate45.3%48.2%50.9%5.7% short
Shot accuracy10.1%13.2%13.7%3.6% short
Kill/death ratio0.981.071.090.10 short
Match win rate46.6%46.9%48.4%1.8% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG老齢老人FACEITLevel 9 · 1,257 ELOSTANDINGTop 20.7% of rankedPREMIER20,670 · Pink bandPEAK ELO1,257csdb.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

Aim76
Positioning72
Utility56

0–100 skill scores via Leetify.

Recent form

HOT43–51–6Last 10043%Win rateLLWTWWWWWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −1.0pp headshot accuracy · −50ms 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 21%
  • Avg reaction 527ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 545ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

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).

Aim7.6
Utility5.6
Positioning7.2
Opening Duels6.5
Clutch3.2

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.

Your pro match

s1mple

Plays most like s1mple 86% 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

Areas to improve

Reaction time. 556ms 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

Aim7.6
Positioning7.2
Utility5.6
Mechanics6.3
Opening Duels6.2
Win Impact7.9

Composite 7.1/10 (Strong), 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+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time554ms−7ms
first ⅓ avg 561ms → last ⅓ avg 554ms
Headshot accuracy19.3%+1.7%
first ⅓ avg 17.6% → last ⅓ avg 19.3%

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

0.39Best match rating · 9–2 · inferno, 23 Sept →
38%Best headshot accuracy · 8–13 · dust2, 14 Sept →
375msFastest reaction time · 1–13 · mirage, 9 Sept →
13–1Biggest win · dust2, 23 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
4–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 57% over 7dust2Weakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
mirageB4621–2546%-0.00
dust2D216–1529%-0.02
infernoA95–456%0.05
ancientC73–443%-0.01
nukeA74–357%0.00
anubis—42–250%0.02
cache—21–150%-0.04
train—21–150%-0.00
overpass—10–10%-0.00
vertigo—10–10%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

175,803Lifetime kills
0.98K/D
9,268Matches
46.6%Match win rate
45.3%Headshot %
10.1%Shot accuracy
21,381MVPs
3,974Hours (in match)
4,802Bombs planted
2,001Bombs defused

Most-used weapons

AK-4763,517
AWP11,793
FAMAS4,153
MP93,707
P902,955

Lifetime map wins

16,276inferno
11,458dust2
10,828nuke
3,182vertigo
1,765train
110office
37cbble
34italy

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

Faceit stats

Combat

2,385Matches
49%Win rate
0.98Avg K/D
80.0ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage98550%0.9915.1
Anubis36251%1.0115.2
Nuke27048%0.9215.0
Dust220546%0.9313.8
Ancient18453%0.9816.2
Inferno15150%1.0014.8
Overpass3342%1.0116.7
Vertigo2462%1.0515.0

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.

19.7%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.6%Spray accuracy
78.4%Counter-strafing
9.6°Preaim
556msReaction time
52.7%T opening success
57.1%CT opening success
0.56Enemies flashed / flash
7.2%Flash assists
10.03HE damage / grenade
8.71Flashes / 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.

29% win rate across 21 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
dust210–130.0220%3 Nov →
ancient8–13-0.089%3 Nov →
inferno13–11-0.0322%28 Oct →
inferno12–120.1633%28 Oct →
mirage13–90.0620%28 Oct →
mirage13–9-0.0328%27 Oct →
mirage13–4-0.0311%26 Oct →
nuke13–110.0321%24 Oct →
mirage13–70.0414%23 Oct →
mirage13–40.0712%22 Oct →
mirage13–60.0516%22 Oct →
cache13–10-0.0115%21 Oct →
train13–30.0111%21 Oct →
overpass5–13-0.0026%21 Oct →
ancient13–50.0215%21 Oct →
mirage10–130.0920%21 Oct →
dust210–130.0325%21 Oct →
dust28–13-0.0423%20 Oct →
anubis13–100.0125%15 Oct →
dust213–20.0425%14 Oct →
mirage13–70.1024%14 Oct →
mirage16–140.0018%14 Oct →
mirage3–130.0229%14 Oct →
mirage13–4-0.0013%10 Oct →
mirage8–13-0.0316%8 Oct →
ancient5–130.0215%7 Oct →
inferno8–8-0.0911%7 Oct →
train3–13-0.0120%7 Oct →
nuke13–70.0114%7 Oct →
mirage2–13-0.0324%7 Oct →
mirage8–13-0.0124%7 Oct →
mirage13–70.0019%6 Oct →
mirage13–70.0420%6 Oct →
mirage13–60.0412%1 Oct →
dust29–13-0.0218%1 Oct →
ancient12–16-0.0419%1 Oct →
cache8–13-0.0616%30 Sept →
mirage11–13-0.0227%30 Sept →
ancient17–19-0.0711%30 Sept →
dust214–16-0.0116%29 Sept →
mirage13–16-0.0813%28 Sept →
dust28–13-0.0822%26 Sept →
mirage8–130.0416%26 Sept →
dust28–13-0.0016%23 Sept →
dust213–10.0327%23 Sept →
mirage13–40.0114%23 Sept →
mirage13–6-0.0319%23 Sept →
inferno13–8-0.0316%23 Sept →
dust24–13-0.056%23 Sept →
inferno9–20.3917%23 Sept →
nuke9–30.0115%23 Sept →
mirage5–13-0.0520%18 Sept →
dust210–130.0724%16 Sept →
mirage7–13-0.0318%16 Sept →
mirage9–130.0615%15 Sept →
inferno13–50.0510%15 Sept →
mirage11–13-0.0419%14 Sept →
dust28–13-0.0838%14 Sept →
mirage13–7-0.0113%11 Sept →
mirage3–13-0.058%11 Sept →
mirage3–130.0330%11 Sept →
mirage1–13-0.130%9 Sept →
dust213–4-0.0315%9 Sept →
mirage3–13-0.0013%9 Sept →
mirage4–13-0.017%6 Sept →
mirage5–0-0.010%5 Sept →
mirage12–120.0216%5 Sept →
dust211–130.0414%4 Sept →
mirage13–7-0.0421%2 Sept →
nuke5–9-0.0721%2 Sept →
mirage11–13-0.0122%2 Sept →
dust213–10.0110%2 Sept →
inferno8–13-0.0616%2 Sept →
inferno8–13-0.0216%2 Sept →
dust26–13-0.0320%2 Sept →
dust23–0-0.060%2 Sept →
anubis13–50.1016%26 Aug →
mirage11–13-0.0214%26 Aug →
mirage13–3-0.1014%25 Aug →
mirage5–13-0.0218%19 Aug →
nuke15–15-0.0025%19 Aug →
anubis8–130.0322%18 Aug →
anubis3–13-0.0623%18 Aug →
mirage10–13-0.0221%16 Aug →
mirage13–7-0.0537%15 Aug →
nuke13–40.0820%15 Aug →
mirage16–120.0026%12 Aug →
mirage10–13-0.049%11 Aug →
mirage13–100.0225%11 Aug →
ancient13–20.0525%11 Aug →
dust214–160.0018%6 Aug →
mirage10–130.0323%5 Aug →
dust23–13-0.0411%5 Aug →
nuke2–13-0.0617%5 Aug →
inferno5–00.0515%5 Aug →
dust213–8-0.1216%5 Aug →
dust20–3-0.070%5 Aug →
ancient13–110.0212%4 Aug →
vertigo12–120.0417%29 Jul →
mirage12–12-0.0317%29 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 →

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