Seelenloser

Seelenloser — CS2 Stats

DE76561198854243149[U:1:893977421]Steam profile ↗✓ No bans

759Tracked matches44%Win rate2022Tracked since
1,035Hours in CS2Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim53
Positioning61
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateLLWLWLWTLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.5pp headshot accuracy · +5ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 575ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 614ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 612ms

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 (+1.8 against its own average).

Aim5.3
Utility1.5
Positioning6.1
Opening Duels5.3

Strong CT-side openerLimited utility dependence

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 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 64% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim5.3
Positioning6.1
Utility1.5
Mechanics4.5
Opening Duels5.3
Win Impact3.1

Composite 4.5/10 (Developing), 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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time606ms−43ms
first ⅓ avg 649ms → last ⅓ avg 606ms
Headshot accuracy10.7%−0.0%
first ⅓ avg 10.7% → last ⅓ avg 10.7%

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

0.35Best match rating · 9–2 · inferno, 24 Jun →
27%Best headshot accuracy · 0–4 · anubis, 24 Jun →
406msFastest reaction time · 13–4 · inferno, 12 Jan →
13–1Biggest win · inferno, 12 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 70% over 10agencyWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2111–1052%0.04
officeC146–843%0.03
agencyD134–931%0.06
ancientS107–370%0.02
nukeB84–450%0.03
mirageD62–433%0.01
dust2B63–350%0.03
anubis—43–175%0.05
train—42–250%0.02
vertigo—31–233%0.02
jura—33–0100%0.06
overpass—21–150%0.01
italy—21–150%0.08
cache—10–10%0.01
poseidon—10–10%-0.09
palacio—10–10%-0.13
golden—11–0100%0.10

Across the last 100 tracked matches.

Lifetime stats

28,729Lifetime kills
1.18K/D · Top 25% of tracked players
1,716Matches
40.9%Match win rate
33.1%Headshot %
10.0%Shot accuracy
4,331MVPs
520Hours (in match)
1,543Bombs planted
469Bombs defused

Most-used weapons

Lifetime map wins

1,706inferno
1,248nuke
1,036office
905dust2
834vertigo
267train
90italy
56lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.2%Headshot accuracy
34.5%Accuracy (enemy spotted)
39.4%Spray accuracy
70.1%Counter-strafing
9.7°Preaim
594msReaction time
37.7%T opening success
64.3%CT opening success
0.20Enemies flashed / flash
0.0%Flash assists
5.94HE damage / grenade
0.98Flashes / 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 10.154% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2023 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.7401% — below the 40% mark we flag

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.026%27 Oct →
mirage8–130.0415%26 Oct →
inferno13–10.1220%12 Sept →
nuke7–13-0.0117%12 Sept →
nuke13–90.058%3 Aug →
mirage8–13-0.0011%31 Jul →
ancient13–10-0.048%24 Jul →
overpass12–12-0.027%7 Jul →
cache9–130.0119%7 Jul →
nuke13–10-0.0110%5 Jul →
inferno8–130.038%26 Jun →
dust212–16-0.0114%26 Jun →
nuke13–100.067%26 Jun →
anubis13–100.0619%24 Jun →
office2–13-0.053%24 Jun →
anubis0–40.0927%24 Jun →
office7–130.0412%18 Jun →
train12–12-0.059%18 Jun →
inferno12–16-0.006%27 Apr →
inferno9–60.100%27 Apr →
vertigo13–40.007%9 Apr →
office12–12-0.049%27 Mar →
poseidon3–9-0.0920%27 Mar →
inferno3–13-0.097%24 Mar →
dust28–130.0311%11 Mar →
office13–7-0.006%8 Mar →
office11–130.1214%22 Jan →
inferno13–40.037%12 Jan →
dust213–30.1211%7 Jan →
ancient13–8-0.038%29 Dec →
office13–110.087%22 Dec →
italy10–130.079%22 Dec →
office4–90.0114%15 Dec →
agency10–13-0.049%8 Dec →
ancient1–130.0211%13 Nov →
dust210–13-0.0211%26 Oct →
nuke8–13-0.0115%26 Oct →
ancient7–13-0.054%25 Oct →
inferno13–8-0.009%25 Oct →
palacio3–13-0.138%13 Oct →
golden13–100.108%13 Oct →
agency11–130.096%30 Sept →
office3–13-0.066%10 Sept →
office13–100.0312%10 Sept →
inferno1–9-0.300%8 Sept →
inferno13–100.022%8 Sept →
overpass13–100.0419%22 Aug →
inferno9–50.0913%22 Aug →
inferno9–10.2510%22 Aug →
agency11–130.0513%21 Aug →
mirage12–120.0619%18 Aug →
nuke4–9-0.009%16 Aug →
inferno9–70.1018%16 Aug →
agency8–130.0320%13 Aug →
vertigo3–13-0.0116%13 Aug →
ancient12–120.0710%4 Aug →
agency10–13-0.0019%1 Aug →
train13–50.075%1 Aug →
agency0–13-0.066%1 Aug →
ancient10–30.0623%19 Jul →
ancient13–90.0814%19 Jul →
ancient13–70.058%12 Jul →
train13–90.079%12 Jul →
mirage13–30.0315%9 Jul →
jura13–100.1012%9 Jul →
dust213–110.0612%4 Jul →
agency12–120.172%2 Jul →
anubis13–100.055%26 Jun →
agency13–50.168%26 Jun →
agency9–13-0.0117%24 Jun →
inferno9–20.3516%24 Jun →
agency7–30.2316%24 Jun →
nuke8–80.1320%24 Jun →
office13–110.167%13 Jun →
agency13–110.0116%13 Jun →
inferno9–60.068%13 Jun →
office11–130.018%13 Jun →
agency7–130.008%11 Jun →
agency13–60.1310%7 Jun →
office0–13-0.0821%7 Jun →
italy13–80.088%28 May →
nuke13–20.0112%28 May →
office13–20.1110%26 May →
train6–13-0.026%26 May →
vertigo9–130.066%25 May →
jura13–70.0710%19 May →
jura13–90.026%18 May →
inferno4–130.029%17 May →
office13–90.0510%15 May →
ancient10–50.028%26 Apr →
inferno9–130.039%24 Apr →
inferno2–130.017%21 Apr →
inferno12–12-0.0011%21 Apr →
mirage13–10-0.0213%15 Apr →
dust213–7-0.0115%11 Apr →
inferno2–13-0.0110%11 Apr →
inferno7–90.0212%8 Apr →
inferno9–4-0.0321%8 Apr →
anubis13–90.015%7 Apr →
ancient16–12-0.027%6 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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