Gandalf the german

Gandalf the german — CS2 Stats

76561198021302961[U:1:61037233]Steam profile ↗✓ No bans

406Tracked matches45%Win rate2026Tracked since
649Hours in CS58Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating15,293Purple band · top ~27.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−110Premier CS Rating · 15,403 → 15,293

Rating over time

Premier CS Rating: 15,293 -1,954 20 Sept – 28 Oct · 16 days played
15,29320,343peak 20,34320 Sept28 Oct
20,661Peak Premier in tracked matches
15Days played since 2026-09-20

Premier CS Rating

  • 5,050 below peak (20,343)
  • Next: Pink band at 20,000 — 4,707 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.2%44.4%46.9%7.7% short
Shot accuracy3.8%11.9%13.0%9.2% short
Kill/death ratio0.941.031.080.14 short
Match win rate38.3%45.2%46.7%8.3% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGGandalf the germanPREMIER15,293 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning46
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateLWWWLWLLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −3.7pp headshot accuracy · +74ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 680ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 635ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 599ms

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 (+1.9 against its own average).

Aim6.3
Utility5.7
Positioning4.6
Opening Duels1.1

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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 591ms 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

Aim6.3
Positioning4.6
Utility5.7
Mechanics6.7
Opening Duels2.1
Win Impact3.3

Composite 5.2/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time607ms+42ms
first ⅓ avg 565ms → last ⅓ avg 607ms
Headshot accuracy19.1%+4.3%
first ⅓ avg 14.8% → last ⅓ avg 19.1%

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

0.24Best match rating · 13–2 · dust2, 15 Oct →
38%Best headshot accuracy · 1–13 · dust2, 21 Oct →
438msFastest reaction time · 4–13 · nuke, 22 Oct →
13–0Biggest win · dust2, 21 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 58% over 12mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%0.03
infernoC208–1240%0.01
mirageD155–1033%-0.01
nukeA127–558%-0.02
anubisB115–645%0.00
cacheB84–450%0.00
ancientB84–450%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,357Lifetime kills
0.94K/D
626Matches
38.3%Match win rate
39.2%Headshot %
3.8%Shot accuracy
1,203MVPs
217Hours (in match)
401Bombs planted
137Bombs defused

Most-used weapons

Lifetime map wins

2,005dust2
699nuke
650inferno
10office
6assault
4italy
4train
3cbble

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.

18.5%Headshot accuracy
32.0%Accuracy (enemy spotted)
30.5%Spray accuracy
80.1%Counter-strafing
9.4°Preaim
591msReaction time
39.0%T opening success
38.0%CT opening success
0.55Enemies flashed / flash
4.5%Flash assists
8.02HE damage / grenade
10.32Flashes / 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

    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 39.0203% — 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 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0711%28 Oct →
cache13–70.0721%28 Oct →
nuke13–5-0.0332%28 Oct →
anubis13–7-0.0317%27 Oct →
mirage7–130.0313%27 Oct →
dust213–30.1012%27 Oct →
mirage14–160.0113%27 Oct →
mirage6–13-0.055%27 Oct →
ancient6–13-0.0718%25 Oct →
inferno7–13-0.0811%25 Oct →
mirage13–11-0.0516%25 Oct →
dust211–13-0.0238%25 Oct →
nuke13–80.0913%25 Oct →
anubis15–150.0016%24 Oct →
nuke13–60.0620%24 Oct →
inferno8–13-0.0220%24 Oct →
dust213–90.0123%23 Oct →
inferno13–7-0.0217%23 Oct →
nuke4–13-0.0720%22 Oct →
nuke4–13-0.018%22 Oct →
dust213–70.0720%22 Oct →
dust21–130.0338%21 Oct →
nuke6–13-0.0830%21 Oct →
inferno10–130.0116%21 Oct →
inferno13–70.0531%21 Oct →
dust213–00.1815%21 Oct →
inferno14–16-0.0614%21 Oct →
ancient13–0-0.0416%21 Oct →
dust210–13-0.0523%20 Oct →
dust27–130.1015%20 Oct →
inferno4–13-0.0524%20 Oct →
dust23–130.1126%20 Oct →
inferno16–14-0.0420%20 Oct →
cache3–13-0.0220%20 Oct →
dust213–30.0131%20 Oct →
cache10–13-0.0310%20 Oct →
dust213–90.0522%19 Oct →
nuke9–13-0.0532%19 Oct →
mirage13–60.0111%19 Oct →
mirage11–13-0.1014%19 Oct →
mirage13–50.0419%19 Oct →
inferno1–13-0.0121%19 Oct →
dust213–50.0718%19 Oct →
mirage11–130.0515%19 Oct →
anubis10–130.065%19 Oct →
inferno13–60.017%19 Oct →
nuke13–2-0.0112%19 Oct →
anubis6–13-0.0411%19 Oct →
dust213–60.1114%19 Oct →
inferno10–130.0411%19 Oct →
dust213–10.0921%18 Oct →
ancient6–130.0611%18 Oct →
cache13–70.069%18 Oct →
mirage6–13-0.0611%18 Oct →
dust29–13-0.0234%18 Oct →
dust210–130.0120%18 Oct →
dust213–4-0.034%18 Oct →
cache10–13-0.046%17 Oct →
anubis2–13-0.067%17 Oct →
inferno13–80.0815%17 Oct →
mirage3–130.0510%17 Oct →
inferno9–130.0510%17 Oct →
mirage13–5-0.0618%17 Oct →
nuke13–8-0.0526%17 Oct →
dust23–13-0.060%16 Oct →
cache3–13-0.0812%16 Oct →
anubis11–13-0.0114%16 Oct →
dust25–13-0.0412%15 Oct →
ancient0–60.0421%15 Oct →
dust28–13-0.043%15 Oct →
anubis13–30.0610%15 Oct →
dust213–20.2412%15 Oct →
inferno13–100.0113%14 Oct →
dust26–13-0.0214%14 Oct →
ancient5–13-0.0714%14 Oct →
dust213–10-0.0316%14 Oct →
ancient13–110.0718%14 Oct →
cache13–110.0317%14 Oct →
inferno8–13-0.0115%14 Oct →
dust24–13-0.0531%14 Oct →
anubis13–6-0.035%14 Oct →
dust213–40.0228%14 Oct →
anubis9–130.0022%14 Oct →
mirage3–13-0.0110%14 Oct →
nuke13–7-0.0610%14 Oct →
ancient13–7-0.0122%14 Oct →
dust29–13-0.0117%14 Oct →
inferno10–130.0214%14 Oct →
inferno13–70.1115%13 Oct →
inferno11–130.0116%13 Oct →
inferno13–110.0216%13 Oct →
mirage13–110.0910%13 Oct →
anubis13–100.0513%13 Oct →
ancient13–50.0113%13 Oct →
cache16–140.0218%13 Oct →
nuke4–130.0218%13 Oct →
anubis13–7-0.0114%13 Oct →
nuke13–90.0112%13 Oct →
inferno9–130.0112%13 Oct →
mirage13–16-0.058%13 Oct →

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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