Gändalf

Gändalf — CS2 Stats

76561198131591362[U:1:171325634]Steam profile ↗✓ No bans

778Tracked matches47%Win rate2023Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating11,604Blue band · top ~46.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,604 -705 1 Aug – 17 Oct · 32 days played
10,52513,562peak 13,5621 Aug17 Oct
13,900Peak Premier in tracked matches
37Days played since 2026-08-01

Premier CS Rating

  • 1,958 below peak (13,562)
  • -730 over 30 days · declining
  • -705 over 90 days
  • Next: Purple band at 15,000 — 3,396 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-10
  • Light Blue band first seen 2026-09-10

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

Share this profile

CSDB.GGGändalfFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER11,604 · Blue bandcsdb.gg/stats

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Performance scores

Aim74
Positioning60
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY39–58–3Last 10039%Win rateWWLWLLWLWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +2.4pp headshot accuracy · −41ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 577ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 549ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 570ms

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 (+2.3 against its own average).

Aim7.4
Utility2.4
Positioning6.0
Opening Duels4.0
Clutch2.2

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

s1mple

Plays most like s1mple 83% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 61% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 574ms 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

Aim7.4
Positioning6.0
Utility2.4
Mechanics6.8
Opening Duels5.1
Win Impact3.9

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time571ms+8ms
first ⅓ avg 562ms → last ⅓ avg 571ms
Headshot accuracy18.2%−0.7%
first ⅓ avg 19.0% → last ⅓ avg 18.2%

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

0.13Best match rating · 13–3 · nuke, 12 Aug →
38%Best headshot accuracy · 8–13 · nuke, 2 Sept →
375msFastest reaction time · 3–13 · ancient, 18 Aug →
13–2Biggest win · anubis, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
3–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 57% over 7anubisWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB2612–1446%0.00
anubisD154–1127%-0.02
nukeD134–931%0.02
ancientD134–931%0.00
cacheB105–550%-0.00
mirageC83–538%0.01
dust2A74–357%-0.02
vertigo—31–233%0.01
overpass—31–233%-0.01
debris—11–0100%0.09
italy—10–10%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

37Matches
46%Win rate
1.06Avg K/D
72.4ADR
42%Headshot %

Clutches & streaks

31%1v1 clutch win
31%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2560%0.9716.8
Mirage425%0.7111.5
Inferno425%0.7814.0
Ancient250%0.9414.5
Overpass250%0.9613.5
Anubis1100%0.6813.0

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.

18.6%Headshot accuracy
34.6%Accuracy (enemy spotted)
36.4%Spray accuracy
80.8%Counter-strafing
8.8°Preaim
574msReaction time
60.9%T opening success
40.2%CT opening success
0.36Enemies flashed / flash
3.5%Flash assists
7.19HE damage / grenade
2.91Flashes / 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. 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 0.3606 — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–50.0831%17 Oct →
inferno13–7-0.0120%17 Oct →
dust210–13-0.0229%16 Oct →
nuke13–80.0229%16 Oct →
anubis9–13-0.0221%15 Oct →
mirage0–13-0.0524%14 Oct →
cache13–50.036%12 Oct →
dust211–13-0.0114%11 Oct →
mirage13–90.0524%11 Oct →
nuke8–130.0411%11 Oct →
ancient14–160.0416%11 Oct →
inferno13–6-0.0122%5 Oct →
ancient11–13-0.0117%4 Oct →
mirage13–80.0716%3 Oct →
ancient5–13-0.0030%3 Oct →
anubis13–20.0019%30 Sept →
mirage10–130.0616%26 Sept →
anubis7–13-0.079%26 Sept →
inferno6–13-0.0119%26 Sept →
nuke2–130.0123%21 Sept →
inferno10–13-0.0516%21 Sept →
dust213–3-0.0311%18 Sept →
nuke11–130.0216%17 Sept →
vertigo13–30.0925%17 Sept →
overpass10–13-0.0314%17 Sept →
inferno6–130.0417%16 Sept →
anubis13–30.0516%16 Sept →
mirage13–110.0115%16 Sept →
inferno13–110.0423%15 Sept →
cache13–70.0015%15 Sept →
ancient7–130.1022%10 Sept →
anubis9–13-0.029%9 Sept →
inferno6–13-0.017%8 Sept →
overpass13–10-0.0418%8 Sept →
inferno13–80.0418%8 Sept →
dust216–12-0.0124%8 Sept →
ancient13–6-0.0121%7 Sept →
vertigo12–12-0.029%7 Sept →
mirage5–130.0418%7 Sept →
inferno11–130.0225%7 Sept →
inferno13–3-0.0813%6 Sept →
cache13–10-0.0419%6 Sept →
inferno13–30.0120%6 Sept →
dust213–50.0324%6 Sept →
anubis6–13-0.0616%5 Sept →
anubis7–130.0113%5 Sept →
anubis7–13-0.0914%5 Sept →
inferno11–130.0117%2 Sept →
nuke8–13-0.0038%2 Sept →
ancient2–13-0.0911%25 Aug →
inferno0–13-0.1327%25 Aug →
dust23–13-0.045%20 Aug →
inferno3–13-0.0215%20 Aug →
anubis3–13-0.0411%19 Aug →
mirage4–13-0.1117%19 Aug →
inferno3–9-0.0511%19 Aug →
debris9–60.0912%19 Aug →
vertigo7–9-0.0513%19 Aug →
nuke6–9-0.079%19 Aug →
inferno9–50.0828%19 Aug →
overpass5–90.0226%19 Aug →
italy10–130.0313%19 Aug →
inferno3–13-0.0521%18 Aug →
ancient3–13-0.0311%18 Aug →
anubis13–50.0632%18 Aug →
cache16–140.0123%18 Aug →
anubis8–13-0.0218%18 Aug →
mirage4–13-0.0010%18 Aug →
inferno9–13-0.0119%17 Aug →
cache15–150.0133%17 Aug →
nuke11–13-0.0218%17 Aug →
ancient13–70.0716%17 Aug →
inferno0–13-0.0918%16 Aug →
ancient11–13-0.0312%16 Aug →
nuke2–13-0.0327%16 Aug →
cache13–40.0816%16 Aug →
nuke13–40.0530%15 Aug →
inferno8–130.008%12 Aug →
cache6–13-0.0428%12 Aug →
inferno16–120.1221%12 Aug →
cache11–13-0.0314%12 Aug →
nuke13–30.1318%12 Aug →
cache9–130.0120%12 Aug →
inferno16–130.0119%12 Aug →
anubis16–120.0218%12 Aug →
nuke13–70.0720%11 Aug →
ancient13–100.0314%11 Aug →
inferno13–60.1126%11 Aug →
ancient8–13-0.0312%11 Aug →
inferno13–40.0332%10 Aug →
nuke7–130.0120%10 Aug →
anubis9–13-0.0227%9 Aug →
anubis15–15-0.0311%9 Aug →
inferno9–13-0.0217%9 Aug →
anubis7–13-0.0515%3 Aug →
ancient0–13-0.0421%3 Aug →
nuke11–13-0.0215%3 Aug →
cache9–13-0.0615%3 Aug →
ancient13–90.0211%2 Aug →
dust213–10-0.0325%1 Aug →

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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