[✘] Grunduebel

[✘] Grunduebel — CS2 Stats

DE76561198007486109[U:1:47220381]Steam profile ↗✓ No bans

3,232Tracked matches33%Win rate2020Tracked since
3,761Hours in CS
CSDB Rating2.6 LearningSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 5,466 -2,042 27 Apr – 1 Jul · 21 days played
5,4667,508peak 7,50827 Apr1 Jul
8,035Peak Premier in tracked matches
26Days played since 2026-04-27

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 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate43.9%41.3%41.8%above
Shot accuracy15.8%12.7%12.2%above
Kill/death ratio0.820.950.980.16 short
Match win rate36.6%42.6%43.3%6.7% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG[✘] GrunduebelFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim23
Positioning36
Utility47

0–100 skill scores via Leetify.

Recent form

COLD43–56–1Last 10043%Win rateLLLWLWLLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.8pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 847ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 758ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 760ms

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 (+2.3 against its own average).

Aim2.3
Utility4.7
Positioning3.6
Opening Duels0.0
Clutch1.2

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

iM

Plays most like iM 63% 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. 733ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim2.3
Positioning3.6
Utility4.7
Mechanics3.0
Opening Duels0.0
Win Impact0.0

Composite 2.6/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time740ms−10ms
first ⅓ avg 750ms → last ⅓ avg 740ms
Headshot accuracy12.2%−5.2%
first ⅓ avg 17.4% → last ⅓ avg 12.2%

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

0.07Best match rating · 16–12 · dust2, 10 May →
43%Best headshot accuracy · 3–13 · inferno, 10 May →
508msFastest reaction time · 14–16 · inferno, 14 Jun →
13–1Biggest win · inferno, 26 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
10–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 75% over 8mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2610–1638%-0.04
infernoB2612–1446%-0.05
ancientC135–838%-0.05
anubisS128–467%-0.04
overpassS86–275%-0.03
cacheD62–433%-0.06
mirageD50–50%-0.08
nuke—40–40%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

170,775Lifetime kills
0.82K/D
9,940Matches
36.6%Match win rate
43.9%Headshot % · Top 50% of Level 2 players
15.8%Shot accuracy · Top 50% of Level 2 players
15,164MVPs
3,761Hours (in match)
6,705Bombs planted
1,514Bombs defused

Most-used weapons

Galil AR28,188
AK-4713,069
MP78,511
FAMAS7,643
MP94,737
AWP4,565

Lifetime map wins

33,926inferno
18,278dust2
3,958nuke
2,690vertigo
471train
329office
326cbble
75lake

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

Faceit stats

Combat

108Matches
41%Win rate
0.74Avg K/D
68.5ADR
41%Headshot %

Clutches & streaks

26%1v1 clutch win
12%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3339%0.7311.8
Inferno2450%0.8612.9
Ancient1638%0.7712.2
Dust21450%0.6911.3
Mirage333%0.6011.0
Nuke10%0.335.0

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.

11.7%Headshot accuracy
32.3%Accuracy (enemy spotted)
35.0%Spray accuracy
63.6%Counter-strafing
12.4°Preaim
733msReaction time
27.7%T opening success
23.5%CT opening success
0.58Enemies flashed / flash
6.1%Flash assists
7.74HE damage / grenade
8.15Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3699° — above the 12° mark we flag

    Aim Training →
  2. 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 11.7297% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 733.3822ms — above the 700ms 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.047%19 Oct →
mirage10–13-0.094%18 Oct →
cache8–13-0.059%18 Oct →
dust213–80.019%18 Oct →
mirage9–13-0.069%18 Oct →
ancient13–3-0.0414%18 Oct →
anubis4–13-0.138%18 Oct →
dust24–13-0.0519%18 Oct →
dust26–13-0.093%17 Oct →
mirage5–13-0.0925%17 Oct →
mirage5–13-0.110%17 Oct →
inferno9–13-0.046%26 Jul →
anubis4–13-0.1016%1 Jul →
inferno13–9-0.0519%1 Jul →
dust29–13-0.0719%14 Jun →
inferno14–16-0.0613%14 Jun →
dust213–7-0.0311%14 Jun →
overpass13–6-0.082%14 Jun →
dust28–13-0.096%13 Jun →
ancient7–130.028%13 Jun →
dust211–13-0.0212%13 Jun →
nuke10–13-0.058%5 Jun →
inferno13–9-0.048%5 Jun →
anubis13–70.0513%5 Jun →
inferno7–13-0.0719%4 Jun →
ancient13–11-0.0513%4 Jun →
overpass13–2-0.0619%29 May →
inferno13–9-0.0210%28 May →
inferno10–13-0.0717%28 May →
dust213–16-0.0225%28 May →
inferno16–14-0.0310%26 May →
overpass13–2-0.036%26 May →
inferno13–1-0.0135%26 May →
ancient13–16-0.1014%25 May →
inferno7–13-0.109%25 May →
ancient13–9-0.034%25 May →
dust211–13-0.0517%25 May →
anubis13–11-0.0115%24 May →
inferno9–13-0.0317%24 May →
dust210–13-0.0223%24 May →
dust27–13-0.0116%24 May →
inferno2–13-0.0812%24 May →
inferno9–13-0.1015%24 May →
dust28–13-0.1120%24 May →
dust213–11-0.0314%24 May →
anubis13–7-0.047%24 May →
anubis13–9-0.0216%24 May →
ancient13–16-0.0613%23 May →
dust213–6-0.087%23 May →
inferno15–15-0.048%22 May →
overpass5–13-0.068%22 May →
anubis13–11-0.079%22 May →
inferno13–10-0.0121%17 May →
overpass13–60.0113%17 May →
dust28–13-0.076%17 May →
dust213–16-0.0720%17 May →
inferno14–16-0.046%17 May →
inferno13–11-0.058%17 May →
dust213–70.0215%17 May →
inferno16–14-0.0418%16 May →
dust213–5-0.0615%16 May →
anubis6–13-0.094%16 May →
dust213–110.0121%16 May →
anubis13–10.0425%16 May →
inferno7–13-0.095%16 May →
inferno14–16-0.033%16 May →
anubis13–10-0.0911%16 May →
overpass10–13-0.0423%15 May →
ancient11–13-0.0612%15 May →
ancient13–11-0.069%15 May →
inferno13–8-0.0410%15 May →
dust213–6-0.0316%15 May →
dust213–5-0.0115%15 May →
dust25–13-0.075%15 May →
inferno8–13-0.0310%15 May →
dust211–13-0.0514%10 May →
ancient8–13-0.0210%10 May →
anubis7–130.0017%10 May →
dust216–120.0717%10 May →
dust28–13-0.0415%10 May →
inferno3–13-0.0643%10 May →
inferno13–9-0.0617%3 May →
overpass13–3-0.0421%3 May →
ancient13–9-0.048%3 May →
nuke11–130.0219%3 May →
nuke10–13-0.0315%1 May →
overpass13–60.0426%1 May →
nuke6–13-0.0219%30 Apr →
anubis13–7-0.0335%30 Apr →
dust26–13-0.0619%30 Apr →
cache9–13-0.0833%30 Apr →
cache13–5-0.0321%30 Apr →
ancient10–13-0.0411%30 Apr →
cache10–13-0.0411%29 Apr →
cache2–13-0.086%29 Apr →
cache13–8-0.0620%29 Apr →
inferno13–11-0.0517%28 Apr →
ancient9–13-0.0412%28 Apr →
inferno13–8-0.0443%27 Apr →
ancient6–13-0.096%27 Apr →

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.