先輩自来也

先輩自来也 — CS2 Stats

76561199142969739[U:1:1182704011]Steam profile ↗✓ No bans

1,643Tracked matches48%Win rate2021Tracked since
3,884Hours in CS59Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating13,902Blue band · top ~34.2% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 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: 13,902 -3,934 5 Sept – 30 Oct · 20 days played
13,90221,682peak 21,6825 Sept30 Oct
21,682Peak Premier in tracked matches
22Days played since 2026-09-05

Premier CS Rating

  • 7,780 below peak (21,682)
  • -7,119 over 30 days · declining
  • Next: Purple band at 15,000 — 1,098 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-05
  • Blue band first seen 2026-09-05

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 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate39.4%40.9%41.3%1.9% short
Shot accuracy6.0%14.2%12.7%6.7% short
Kill/death ratio1.010.950.95above
Match win rate46.3%42.1%42.6%above

This profile matches the typical Level 2 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG先輩自来也FACEITLevel 1STANDINGTop 100.0% of rankedPREMIER13,902 · 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

Aim60
Positioning59
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY40–52–8Last 10040%Win rateLLLWWLWWTW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.2pp headshot accuracy · −89ms 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 13%
  • Avg reaction 533ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 502ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 547ms

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).

Aim6.0
Utility5.5
Positioning5.9
Opening Duels3.2
Clutch2.6

Strong CT-side opener

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 81% 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 →

CSDB Rating breakdown

Aim6.0
Positioning5.9
Utility5.5
Mechanics5.4
Opening Duels6.2
Win Impact4.4

Composite 5.4/10 (Developing), 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 rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time529ms−34ms
first ⅓ avg 563ms → last ⅓ avg 529ms
Headshot accuracy13.0%−1.3%
first ⅓ avg 14.3% → last ⅓ avg 13.0%

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 · 4–0 · rush_001, 3 Oct →
33%Best headshot accuracy · 4–0 · rush_001, 3 Oct →
367msFastest reaction time · 13–8 · dust2, 21 Oct →
13–1Biggest win · cache, 28 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
2–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

officeBest map · 80% over 5mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2D3210–2231%-0.01
infernoD155–1033%-0.02
nukeA149–564%0.00
mirageD91–811%-0.04
anubisC83–538%-0.03
cacheD72–529%0.02
officeS54–180%-0.00
ancientC52–340%-0.00
train—22–0100%0.08
fachwerk—11–0100%0.01
eldorado—10–10%-0.02
rush_001—11–0100%0.29

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,979Lifetime kills
1.01K/D · Top 50% of Level 1 players
3,274Matches
46.3%Match win rate · Top 25% of Level 1 players
39.4%Headshot %
6.0%Shot accuracy
9,402MVPs
1,415Hours (in match)
4,901Bombs planted
744Bombs defused

Most-used weapons

AK-4714,881
AWP10,246
SSG 083,587
P903,149
MAC-101,890

Lifetime map wins

11,881dust2
5,672inferno
3,468nuke
843train
635vertigo
497office
100italy
9cbble

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

Faceit stats

Combat

447Matches
48%Win rate
1.00Avg K/D
81.7ADR
31%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke1100%2.259.0
Inferno10%0.408.0
Mirage1100%1.2316.0
Ancient1100%2.1021.0

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.

12.6%Headshot accuracy
32.0%Accuracy (enemy spotted)
29.5%Spray accuracy
74.3%Counter-strafing
7.7°Preaim
540msReaction time
52.3%T opening success
57.2%CT opening success
0.57Enemies flashed / flash
5.7%Flash assists
10.44HE damage / grenade
8.35Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.6402% — below the 15% 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0614%30 Oct →
dust210–13-0.0512%30 Oct →
cache9–130.0116%30 Oct →
office13–11-0.0611%30 Oct →
inferno13–40.0312%30 Oct →
dust25–13-0.092%30 Oct →
fachwerk13–100.0117%28 Oct →
train13–60.0419%28 Oct →
dust212–12-0.0013%28 Oct →
cache13–10.1122%28 Oct →
office13–20.0019%28 Oct →
office13–80.0013%28 Oct →
dust213–2-0.0024%28 Oct →
dust22–130.0325%28 Oct →
dust212–12-0.0217%28 Oct →
cache13–60.1211%28 Oct →
dust213–50.0612%28 Oct →
anubis5–13-0.0510%25 Oct →
mirage11–13-0.046%25 Oct →
dust27–130.0122%25 Oct →
ancient11–13-0.049%25 Oct →
inferno11–13-0.0312%25 Oct →
dust211–130.0113%24 Oct →
cache15–15-0.068%24 Oct →
inferno13–50.0413%23 Oct →
inferno10–13-0.0811%23 Oct →
ancient13–60.025%23 Oct →
inferno16–13-0.0112%23 Oct →
mirage5–13-0.0211%22 Oct →
nuke14–16-0.042%21 Oct →
dust215–15-0.009%21 Oct →
mirage10–13-0.028%21 Oct →
dust213–8-0.0216%21 Oct →
anubis2–13-0.1216%20 Oct →
dust26–13-0.0614%20 Oct →
cache10–13-0.0422%20 Oct →
nuke13–7-0.040%20 Oct →
dust210–13-0.089%20 Oct →
mirage9–13-0.0115%20 Oct →
eldorado7–9-0.0219%20 Oct →
mirage9–13-0.034%19 Oct →
inferno7–130.0111%19 Oct →
inferno7–130.0419%19 Oct →
anubis12–160.007%19 Oct →
nuke13–90.0922%19 Oct →
nuke13–70.0418%19 Oct →
nuke13–80.0312%19 Oct →
dust213–20.0120%18 Oct →
ancient11–130.0320%17 Oct →
dust212–12-0.0015%17 Oct →
dust213–30.034%17 Oct →
dust213–90.0314%17 Oct →
office12–12-0.0112%16 Oct →
dust29–13-0.0910%16 Oct →
inferno4–13-0.097%16 Oct →
mirage9–13-0.0226%16 Oct →
nuke0–13-0.1013%15 Oct →
nuke16–130.029%15 Oct →
anubis13–70.0115%15 Oct →
dust27–13-0.0116%14 Oct →
nuke13–40.0915%14 Oct →
anubis13–40.0320%13 Oct →
dust213–160.0111%13 Oct →
dust215–15-0.0418%12 Oct →
nuke13–6-0.039%12 Oct →
inferno7–13-0.0510%12 Oct →
inferno8–13-0.0223%12 Oct →
dust28–13-0.038%10 Oct →
dust26–130.0224%10 Oct →
anubis9–13-0.0614%9 Oct →
mirage13–8-0.0826%9 Oct →
mirage9–13-0.1021%9 Oct →
inferno10–130.007%9 Oct →
anubis8–13-0.0314%9 Oct →
dust213–70.0110%8 Oct →
train4–00.1221%8 Oct →
dust25–13-0.083%6 Oct →
mirage5–13-0.0123%6 Oct →
dust28–13-0.0010%6 Oct →
dust212–16-0.0415%6 Oct →
anubis13–8-0.0225%4 Oct →
dust213–6-0.039%4 Oct →
cache3–130.049%4 Oct →
nuke13–100.0214%4 Oct →
ancient9–130.0113%4 Oct →
dust25–13-0.078%4 Oct →
cache15–15-0.0213%4 Oct →
nuke11–13-0.0110%4 Oct →
inferno13–8-0.0611%4 Oct →
inferno9–13-0.0013%4 Oct →
ancient13–5-0.0421%4 Oct →
inferno9–50.0111%3 Oct →
rush_0014–00.2933%3 Oct →
office13–100.0518%3 Oct →
dust23–13-0.042%3 Oct →
nuke3–13-0.0510%3 Oct →
dust213–110.0815%3 Oct →
dust213–50.0215%3 Oct →
nuke10–13-0.0216%3 Oct →
nuke9–00.028%3 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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