Gelbes Einhorn

Gelbes Einhorn — CS2 Stats

76561198100773982[U:1:140508254]Steam profile ↗✓ No bans

1,079Tracked matches31%Win rate2021Tracked since
CSDB Rating2.2 LearningPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 10,000 -1,043 22 Jun – 16 Sept · 21 days played
10,00014,305peak 14,30522 Jun16 Sept
14,305Peak Premier in tracked matches
31Days played since 2026-06-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim28
Positioning42
Utility12

0–100 skill scores via Leetify.

Recent form

COLD44–52–4Last 10044%Win rateLLLLWWLTLW

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +0.3pp headshot accuracy · −37ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 527ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 569ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 587ms

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 (+2.4 against its own average).

Aim2.8
Utility1.2
Positioning4.2
Opening Duels0.1

Limited 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

jL

Plays most like jL 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 42% on T to 24% on CT — first contacts on the defending side are being lost.

Reaction time. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning4.2
Utility1.2
Mechanics1.4
Opening Duels1.6
Win Impact0.0

Composite 2.2/10 (Learning), 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-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time603ms+3ms
first ⅓ avg 600ms → last ⅓ avg 603ms
Headshot accuracy11.5%−1.2%
first ⅓ avg 12.7% → last ⅓ avg 11.5%

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

0.20Best match rating · 9–3 · inferno, 17 Sept →
26%Best headshot accuracy · 13–9 · mirage, 6 Aug →
375msFastest reaction time · 13–6 · mirage, 4 Sept →
13–1Biggest win · anubis, 24 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
5–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 77% over 13ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeC238–1535%0.02
dust2C197–1237%-0.02
infernoC146–843%0.01
anubisS1310–377%0.03
ancientD93–633%0.00
mirageC73–443%0.00
overpassA53–260%-0.00
cacheC52–340%-0.02
vertigo—20–20%-0.05
train—21–150%-0.01
boulder—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.0%Headshot accuracy
28.9%Accuracy (enemy spotted)
33.2%Spray accuracy
56.2%Counter-strafing
10.4°Preaim
596msReaction time
42.4%T opening success
24.1%CT opening success
0.10Enemies flashed / flash
0.0%Flash assists
8.35HE damage / grenade
0.76Flashes / 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 11.0219% — 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 0.0996 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 24.0614% — below the 40% mark we flag

Spend your practice time on Ancient

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 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno0–13-0.0310%27 Oct →
mirage9–130.088%27 Oct →
vertigo7–13-0.059%28 Sept →
ancient4–13-0.019%28 Sept →
anubis13–90.0115%28 Sept →
inferno9–30.2013%17 Sept →
dust214–16-0.0611%16 Sept →
nuke15–150.097%14 Sept →
dust21–13-0.069%14 Sept →
dust27–30.0410%14 Sept →
vertigo2–13-0.0420%5 Sept →
overpass13–20.047%4 Sept →
overpass13–9-0.0318%4 Sept →
mirage13–70.043%4 Sept →
mirage13–6-0.030%4 Sept →
nuke11–130.016%26 Aug →
anubis13–10.047%24 Aug →
nuke13–70.0212%24 Aug →
inferno8–13-0.0113%20 Aug →
dust25–13-0.0012%20 Aug →
nuke1–13-0.0920%20 Aug →
ancient8–13-0.0411%20 Aug →
train13–60.0526%17 Aug →
dust27–13-0.0212%17 Aug →
nuke9–130.018%17 Aug →
mirage9–13-0.048%12 Aug →
inferno4–13-0.0714%11 Aug →
dust23–13-0.0517%11 Aug →
dust213–16-0.0512%11 Aug →
nuke7–13-0.0912%11 Aug →
anubis7–130.0214%9 Aug →
inferno13–5-0.0122%9 Aug →
nuke15–15-0.0010%9 Aug →
mirage10–13-0.0313%6 Aug →
mirage13–90.0626%6 Aug →
dust212–16-0.0413%6 Aug →
inferno13–80.0421%4 Aug →
ancient8–13-0.027%3 Aug →
cache8–130.0314%3 Aug →
ancient13–70.0315%2 Aug →
cache3–13-0.0419%27 Jul →
dust211–130.0415%27 Jul →
inferno15–15-0.0713%27 Jul →
dust210–13-0.0618%27 Jul →
anubis13–4-0.0318%23 Jul →
cache16–12-0.077%23 Jul →
cache3–13-0.0018%23 Jul →
boulder13–70.0319%20 Jul →
nuke13–50.037%13 Jul →
ancient14–16-0.018%13 Jul →
dust213–11-0.0616%12 Jul →
inferno15–150.0122%12 Jul →
anubis13–9-0.028%12 Jul →
cache13–8-0.0114%12 Jul →
nuke13–40.0014%12 Jul →
nuke13–90.0113%11 Jul →
nuke10–130.006%11 Jul →
ancient16–130.017%11 Jul →
ancient14–160.0213%10 Jul →
anubis13–8-0.0510%10 Jul →
nuke7–13-0.0112%10 Jul →
inferno11–13-0.0314%10 Jul →
dust25–13-0.0218%10 Jul →
anubis8–13-0.027%10 Jul →
nuke6–13-0.0214%10 Jul →
anubis13–100.0816%10 Jul →
nuke16–120.038%10 Jul →
dust213–70.0312%2 Jul →
nuke13–70.0113%2 Jul →
inferno13–60.0917%2 Jul →
dust27–13-0.0511%2 Jul →
nuke3–13-0.085%2 Jul →
anubis13–11-0.018%2 Jul →
dust216–14-0.0415%2 Jul →
dust210–13-0.0111%2 Jul →
dust213–7-0.029%2 Jul →
dust213–80.0318%2 Jul →
nuke10–130.0513%1 Jul →
overpass13–90.0321%1 Jul →
overpass9–13-0.0512%1 Jul →
anubis13–50.1612%1 Jul →
mirage8–13-0.0612%1 Jul →
nuke11–130.0413%1 Jul →
anubis3–130.0216%1 Jul →
nuke8–130.0112%1 Jul →
inferno16–14-0.0114%30 Jun →
nuke10–130.1219%30 Jun →
ancient9–130.0411%30 Jun →
ancient13–10-0.0018%28 Jun →
inferno4–13-0.0011%28 Jun →
nuke13–80.098%28 Jun →
inferno6–13-0.0219%28 Jun →
overpass9–13-0.014%22 Jun →
anubis13–60.099%22 Jun →
inferno13–60.0911%22 Jun →
nuke10–13-0.039%22 Jun →
dust213–110.0521%22 Jun →
anubis13–10.1313%22 Jun →
nuke13–80.189%22 Jun →
train1–8-0.0614%17 Jun →

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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