Spreewaldgurke

Spreewaldgurke — CS2 Stats

76561198045926280[U:1:85660552]Steam profile ↗✓ No bans

428Tracked matches45%Win rate2020Tracked since
789Hours in CS
CSDB Rating5.0 DevelopingPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 4,852 -601 9 Mar – 9 Jul · 28 days played
3,5958,514peak 8,5149 Mar9 Jul
8,819Peak Premier in tracked matches
36Days played since 2025-03-09

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

Performance scores

Aim44
Positioning58
Utility50

0–100 skill scores via Leetify.

Recent form

HOT45–52–3Last 10045%Win rateWWWTWWWLWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −4.1pp headshot accuracy · +47ms 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 11%
  • Avg reaction 727ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 726ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 702ms

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 (+1.2 against its own average).

Aim4.4
Utility5.0
Positioning5.8
Opening Duels3.1

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 73% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 690ms 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

Aim4.4
Positioning5.8
Utility5.0
Mechanics7.5
Opening Duels2.7
Win Impact3.3

Composite 5.0/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time697ms−17ms
first ⅓ avg 714ms → last ⅓ avg 697ms
Headshot accuracy12.9%+3.3%
first ⅓ avg 9.6% → last ⅓ avg 12.9%

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

0.13Best match rating · 13–2 · inferno, 28 Mar →
60%Best headshot accuracy · 6–13 · ancient, 26 Apr →
516msFastest reaction time · 11–13 · office, 24 May →
13–1Biggest win · nuke, 9 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
8–14In matches decided by ≤2 rounds
13Overtime games

Map breakdown

trainBest map · 82% over 11anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C238–1535%-0.01
infernoA1810–856%0.02
nukeA159–660%0.01
trainS119–282%-0.02
ancientC114–736%-0.02
anubisD71–614%-0.02
overpassC52–340%0.01
mirageD51–420%-0.01
grail—11–0100%0.02
jura—10–10%-0.02
office—10–10%-0.03
agency—10–10%0.02
italy—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,287Lifetime kills
1.15K/D · Top 25% of tracked players
2,342Matches
42.5%Match win rate
42.8%Headshot %
18.8%Shot accuracy · Top 10% of tracked players
3,943MVPs
789Hours (in match)
2,355Bombs planted
453Bombs defused

Most-used weapons

AK-4710,497
M2493,261
AWP2,980
P902,585
FAMAS1,916

Lifetime map wins

3,221inferno
2,925dust2
2,438nuke
727vertigo
589train
453cbble
264lake
244office

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.

12.6%Headshot accuracy
34.2%Accuracy (enemy spotted)
31.2%Spray accuracy
83.7%Counter-strafing
11.6°Preaim
690msReaction time
40.3%T opening success
41.3%CT opening success
0.43Enemies flashed / flash
2.3%Flash assists
11.28HE damage / grenade
4.15Flashes / 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 12.5871% — 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 0.4327 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–100.0712%20 Jul →
nuke16–130.0712%20 Jul →
inferno13–30.056%20 Jul →
dust215–15-0.078%9 Jul →
nuke13–10.0617%9 Jul →
train16–13-0.0417%8 Jul →
train13–30.0914%8 Jul →
mirage14–16-0.058%5 Jul →
dust213–70.0612%5 Jul →
anubis10–13-0.049%1 Jul →
dust211–13-0.0310%30 Jun →
dust213–160.0313%30 Jun →
nuke6–13-0.029%27 Jun →
inferno9–13-0.0415%27 Jun →
overpass9–70.0024%27 Jun →
inferno2–13-0.0327%29 May →
ancient16–12-0.0114%28 May →
inferno13–110.1020%28 May →
grail13–50.0214%24 May →
jura7–13-0.0212%24 May →
office11–13-0.0313%24 May →
agency7–130.0220%24 May →
italy9–130.0117%24 May →
nuke13–100.0211%23 May →
train13–11-0.0311%23 May →
ancient8–13-0.038%23 May →
dust213–8-0.0613%20 May →
dust26–13-0.0110%20 May →
ancient10–130.002%16 May →
mirage11–130.0413%12 May →
inferno7–13-0.0717%12 May →
train13–20.0510%12 May →
nuke13–16-0.048%12 May →
inferno16–140.0521%11 May →
train13–8-0.065%11 May →
dust28–130.029%5 May →
overpass3–13-0.013%5 May →
dust23–13-0.079%4 May →
train13–9-0.038%4 May →
mirage9–130.0521%4 May →
dust213–110.037%29 Apr →
mirage9–13-0.0611%28 Apr →
nuke14–16-0.027%28 Apr →
overpass11–13-0.008%27 Apr →
ancient0–13-0.0933%27 Apr →
overpass12–12-0.0125%26 Apr →
ancient6–13-0.0760%26 Apr →
dust213–5-0.0417%26 Apr →
dust24–130.0115%26 Apr →
inferno11–130.0010%17 Apr →
dust27–130.0214%17 Apr →
train14–16-0.039%13 Apr →
anubis13–90.0115%13 Apr →
inferno5–90.0014%13 Apr →
nuke7–9-0.009%13 Apr →
dust213–70.0213%6 Apr →
nuke13–11-0.0614%6 Apr →
anubis11–13-0.058%6 Apr →
nuke7–13-0.0118%5 Apr →
train15–15-0.0313%5 Apr →
dust211–13-0.0011%5 Apr →
train13–8-0.1017%4 Apr →
inferno11–130.0318%4 Apr →
ancient11–13-0.0114%4 Apr →
dust213–3-0.047%4 Apr →
train13–70.015%3 Apr →
inferno10–13-0.048%3 Apr →
dust24–13-0.1211%3 Apr →
inferno13–3-0.0411%30 Mar →
anubis8–13-0.046%30 Mar →
dust210–130.025%30 Mar →
nuke13–90.0713%30 Mar →
nuke13–11-0.0412%28 Mar →
dust26–13-0.077%28 Mar →
inferno13–80.029%28 Mar →
inferno13–20.139%28 Mar →
inferno13–100.0310%19 Mar →
ancient16–130.067%16 Mar →
nuke8–13-0.0114%16 Mar →
inferno13–110.0811%16 Mar →
ancient11–13-0.065%16 Mar →
dust29–13-0.044%16 Mar →
train13–10.0014%14 Mar →
ancient6–13-0.089%14 Mar →
inferno13–60.015%14 Mar →
dust213–80.088%14 Mar →
ancient13–60.028%14 Mar →
nuke13–80.056%13 Mar →
nuke13–10.0514%13 Mar →
anubis0–13-0.059%13 Mar →
inferno13–16-0.0010%13 Mar →
dust213–4-0.004%13 Mar →
mirage13–10-0.054%12 Mar →
inferno13–10.0913%12 Mar →
nuke13–80.0513%12 Mar →
ancient13–70.0313%11 Mar →
anubis10–130.0213%11 Mar →
dust27–130.0614%11 Mar →
dust27–13-0.0516%9 Mar →
anubis10–13-0.017%9 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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