Später♿

Später♿ — CS2 Stats

DE76561198282377014[U:1:322111286]Steam profile ↗✓ No bans

2,268Tracked matches50%Win rate2020Tracked since
8,255Hours in CS44Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
FaceitLevel 9 · 1,788 ELOTop 20.7% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,788 → 1,788
+49Tracked matches · now 2,268
−6.7ppWin rate · 56.7% → 50.0%

Rating over time

Faceit ELO: 1,788 +0 1 Sept – 14 Sept · 2 observations
1,7881,788peak 1,7881 Sept14 Sept
1,788Highest Faceit ELO seen on CSDB
31Days played since 2026-08-04

Faceit ELO

  • At peak — 1,788
  • Next: Level 10 at 2,001 — 213 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches86——
Win rate52%——
K/D1.20——
Headshot %56%——

Measured 1 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,336), 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 rate44.2%48.2%50.9%6.8% short
Shot accuracy10.2%13.3%13.8%3.6% short
Kill/death ratio1.051.071.090.03 short
Match win rate48.1%46.9%48.4%meets

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

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.GGSpäter♿FACEITLevel 9 · 1,788 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,788csdb.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

Aim52
Positioning66
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLWLLWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −3.3pp headshot accuracy · −51ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 512ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 531ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 556ms

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 (+1.7 against its own average).

Aim5.2
Utility6.9
Positioning6.6
Opening Duels4.1
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

jL

Plays most like jL 68% 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

Aim5.2
Positioning6.6
Utility6.9
Mechanics4.9
Opening Duels5.4
Win Impact5.0

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 -0.01 → last ⅓ avg -0.01
Reaction time545ms−30ms
first ⅓ avg 575ms → last ⅓ avg 545ms
Headshot accuracy16.7%−3.1%
first ⅓ avg 19.8% → last ⅓ avg 16.7%

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

0.09Best match rating · 13–11 · inferno, 11 Sept →
41%Best headshot accuracy · 9–13 · cache, 5 Sept →
406msFastest reaction time · 13–8 · office, 19 Sept →
13–1Biggest win · ancient, 20 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 50% over 32
MapGradePlayedRecordWin rateAvg rating
infernoB3216–1650%-0.01
ancientB3015–1550%-0.01
dust2B168–850%-0.01
nukeB158–753%-0.01
anubisA53–260%-0.04
office—11–0100%0.01
cache—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,302Lifetime kills
1.05K/D
3,741Matches
48.1%Match win rate · Top 50% of Level 9 players
44.2%Headshot %
10.2%Shot accuracy
10,049MVPs
2,080Hours (in match)
2,920Bombs planted
1,122Bombs defused

Most-used weapons

AK-4723,600
AWP7,472
FAMAS2,492
Tec-92,488
UMP-452,231

Lifetime map wins

7,836inferno
6,860dust2
3,248nuke
2,749vertigo
2,041cbble
894train
221office
61militia

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

Faceit stats

Combat

564Matches
52%Win rate
1.07Avg K/D
84.5ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient16254%1.0616.5
Inferno14759%1.1016.6
Nuke9254%1.1117.0
Dust28143%1.0016.3
Anubis3749%1.0918.0
Mirage1258%1.1719.9
Cache862%1.0218.1
Overpass838%0.8513.5

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.

16.7%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.4%Spray accuracy
72.2%Counter-strafing
12.1°Preaim
556msReaction time
56.9%T opening success
46.1%CT opening success
0.60Enemies flashed / flash
8.6%Flash assists
14.45HE damage / grenade
9.14Flashes / 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 12.0905° — above the 12° mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0012%30 Sept →
ancient13–100.0217%30 Sept →
dust211–13-0.0125%29 Sept →
ancient2–13-0.0714%29 Sept →
inferno13–110.0617%22 Sept →
inferno10–13-0.0312%22 Sept →
ancient13–40.0110%22 Sept →
ancient13–10.0820%20 Sept →
anubis13–9-0.0211%20 Sept →
dust213–5-0.0711%20 Sept →
inferno3–13-0.0515%20 Sept →
nuke14–16-0.0021%20 Sept →
nuke13–5-0.0118%20 Sept →
inferno13–160.0113%20 Sept →
inferno13–60.0530%20 Sept →
ancient4–13-0.0418%19 Sept →
dust28–13-0.0218%19 Sept →
anubis8–13-0.0619%19 Sept →
ancient14–160.0513%19 Sept →
inferno13–70.0216%19 Sept →
nuke13–90.0022%19 Sept →
office13–80.0126%19 Sept →
inferno13–9-0.0011%18 Sept →
ancient8–130.0214%18 Sept →
inferno9–13-0.1122%18 Sept →
inferno13–11-0.0020%18 Sept →
ancient9–13-0.0213%18 Sept →
nuke5–13-0.0318%18 Sept →
inferno16–14-0.0416%18 Sept →
nuke13–40.0110%18 Sept →
ancient9–13-0.059%18 Sept →
inferno11–13-0.0520%18 Sept →
inferno5–13-0.0320%17 Sept →
inferno13–80.0523%17 Sept →
ancient13–60.0218%17 Sept →
nuke6–13-0.058%17 Sept →
ancient14–16-0.0715%17 Sept →
ancient16–130.026%16 Sept →
inferno2–13-0.0721%15 Sept →
nuke4–13-0.1115%15 Sept →
dust22–13-0.0816%15 Sept →
inferno13–11-0.0023%14 Sept →
inferno13–7-0.0216%14 Sept →
ancient13–2-0.0223%14 Sept →
ancient13–11-0.0316%14 Sept →
inferno9–13-0.018%11 Sept →
dust213–90.0425%11 Sept →
ancient14–16-0.0026%11 Sept →
ancient13–10-0.0420%11 Sept →
inferno13–110.0928%11 Sept →
ancient13–10-0.0222%11 Sept →
ancient8–13-0.0127%11 Sept →
ancient8–13-0.0520%10 Sept →
nuke13–20.0528%10 Sept →
inferno9–13-0.0417%10 Sept →
ancient13–100.0221%10 Sept →
nuke6–130.0212%10 Sept →
inferno13–100.0420%10 Sept →
inferno8–13-0.037%9 Sept →
ancient13–8-0.0417%9 Sept →
nuke16–140.0022%9 Sept →
anubis16–13-0.0019%9 Sept →
dust24–130.0217%9 Sept →
dust213–8-0.0126%8 Sept →
ancient13–9-0.045%8 Sept →
cache9–13-0.0341%5 Sept →
nuke13–50.0322%5 Sept →
ancient13–160.0011%4 Sept →
anubis9–13-0.0928%3 Sept →
nuke13–9-0.0126%2 Sept →
inferno16–140.0119%2 Sept →
inferno13–160.0217%2 Sept →
ancient6–13-0.0310%1 Sept →
nuke13–40.0518%1 Sept →
anubis13–11-0.0318%1 Sept →
dust213–100.0118%1 Sept →
inferno6–13-0.0521%1 Sept →
dust27–13-0.0338%31 Aug →
nuke10–13-0.0530%31 Aug →
ancient13–10-0.0320%30 Aug →
dust27–13-0.0225%29 Aug →
dust213–90.0427%25 Aug →
inferno13–50.0223%25 Aug →
inferno11–13-0.0417%24 Aug →
inferno3–13-0.0616%23 Aug →
dust213–30.0329%23 Aug →
inferno13–8-0.0313%23 Aug →
ancient6–13-0.0121%23 Aug →
dust216–13-0.0424%21 Aug →
ancient13–70.0827%21 Aug →
inferno6–13-0.079%21 Aug →
inferno11–13-0.0215%13 Aug →
dust213–110.0215%12 Aug →
inferno13–2-0.0018%12 Aug →
inferno13–9-0.0311%10 Aug →
dust25–13-0.0324%10 Aug →
ancient14–16-0.0111%10 Aug →
ancient13–70.0112%5 Aug →
dust210–130.0517%4 Aug →
nuke6–13-0.0426%4 Aug →

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.