Gandalf the Grey

Gandalf the Grey — CS2 Stats

NZ76561198152771215[U:1:192505487]Steam profile ↗✓ No bans

2,392Tracked matches41%Win rate2020Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating19,293Top 50% of 185,711 CSDB-tracked playersPurple band · top ~11.3% of ranked players (population est.)
CSDB Leaderboard#86505 of 232629 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

−35Premier CS Rating · 19,328 → 19,293
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 15 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,293 +596 25 Jul20 Sept · 26 days played
18,57922,113peak 22,11325 Jul20 Sept
22,237Peak Premier in tracked matches
1,250Highest Faceit ELO seen on CSDB
34Days played since 2026-07-15

Premier CS Rating

  • 2,820 below peak (22,113)
  • -1,644 over 30 days · declining
  • Next: Pink band at 20,000 707 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGGandalf the GreyFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,293 · Purple bandPEAK ELO1,250csdb.gg/stats

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Performance scores

Aim73
Positioning33
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateLLLLWWWLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · −41ms reaction

Win rate 0pp 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

  • 14 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 602ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 545ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 565ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim7.3
Utility5.4
Positioning3.3
Opening Duels0.0
Clutch4.2

Strong T-side opener

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 44% on T to 18% on CT — first contacts on the defending side are being lost.

Reaction time. 559ms 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

Aim7.3
Positioning3.3
Utility5.4
Mechanics4.6
Opening Duels1.7
Win Impact2.1

Composite 4.7/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time561ms−39ms
first ⅓ avg 600ms → last ⅓ avg 561ms
Headshot accuracy17.9%−0.9%
first ⅓ avg 18.8% → last ⅓ avg 17.9%

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

0.17Best match rating · 9–2 · inferno, 8 Aug
50%Best headshot accuracy · 0–3 · mirage, 11 Sept
422msFastest reaction time · 1–13 · ancient, 16 Aug
13–2Biggest win · dust2, 27 Aug

Across the last 100 tracked matches.

Highlights

9Longest win streak
L4Current streak
611In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 92% over 13ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2281436%0.01
mirageC1771041%-0.01
cacheS1312192%0.02
anubisA127558%-0.02
ancientD103730%-0.00
infernoC94544%-0.00
nukeB84450%-0.03
vertigoC52340%-0.04
train32167%0.00
office1010%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

320Matches
53%Win rate
1.05Avg K/D
73.3ADR
40%Headshot %

Clutches & streaks

41%1v1 clutch win
29%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9652%1.0414.8
Dust27151%0.9813.6
Anubis4466%1.1614.0
Ancient3853%1.0816.4
Inferno3247%1.0314.5
Nuke1250%1.0115.8
Vertigo1060%1.0814.7
Train475%1.0916.8

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.

17.4%Headshot accuracy
37.8%Accuracy (enemy spotted)
45.4%Spray accuracy
70.6%Counter-strafing
10.8°Preaim
559msReaction time
43.8%T opening success
18.5%CT opening success
0.50Enemies flashed / flash
4.5%Flash assists
7.30HE damage / grenade
12.89Flashes / 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

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

    CT opening duels 18.482% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0528%20 Sept
inferno9–13-0.0310%16 Sept
ancient3–13-0.0319%16 Sept
inferno14–160.0423%15 Sept
nuke9–70.0615%15 Sept
dust213–80.0319%15 Sept
dust213–90.0614%11 Sept
mirage0–30.0150%11 Sept
inferno5–13-0.0713%10 Sept
anubis13–70.0118%8 Sept
dust213–50.0612%8 Sept
mirage1–13-0.0645%8 Sept
cache10–130.0321%8 Sept
mirage4–13-0.0033%7 Sept
anubis16–14-0.0726%7 Sept
office11–13-0.0325%5 Sept
anubis4–13-0.067%31 Aug
cache13–90.0417%29 Aug
cache13–6-0.0010%29 Aug
dust28–13-0.0119%27 Aug
dust213–20.0418%27 Aug
dust22–13-0.074%27 Aug
cache5–1-0.040%22 Aug
ancient15–15-0.0112%20 Aug
dust211–130.0418%20 Aug
anubis4–5-0.117%16 Aug
ancient1–13-0.0218%16 Aug
mirage7–2-0.0124%16 Aug
inferno5–13-0.0814%15 Aug
anubis13–11-0.038%15 Aug
mirage13–80.027%15 Aug
mirage15–15-0.0121%15 Aug
mirage13–8-0.0114%15 Aug
dust26–13-0.039%15 Aug
train13–90.0017%15 Aug
train4–13-0.0421%15 Aug
train13–100.0419%15 Aug
ancient4–13-0.0412%13 Aug
nuke13–7-0.1022%13 Aug
nuke13–60.007%12 Aug
cache16–130.0519%12 Aug
dust25–130.0115%10 Aug
dust211–130.0415%10 Aug
dust216–130.0311%10 Aug
mirage5–13-0.0928%9 Aug
dust24–130.0111%8 Aug
mirage3–13-0.0420%8 Aug
anubis13–2-0.0429%8 Aug
cache13–7-0.0329%8 Aug
mirage11–13-0.0116%8 Aug
nuke8–8-0.0919%8 Aug
inferno9–20.1732%8 Aug
vertigo0–9-0.2011%8 Aug
nuke7–13-0.0326%8 Aug
ancient11–130.0111%8 Aug
mirage3–130.0313%8 Aug
dust212–120.0713%8 Aug
dust24–13-0.0426%7 Aug
ancient13–80.0318%7 Aug
inferno8–13-0.1119%5 Aug
dust213–9-0.0419%2 Aug
nuke13–5-0.1021%2 Aug
cache13–70.0323%2 Aug
vertigo13–5-0.0413%2 Aug
vertigo13–80.1527%2 Aug
cache13–40.0216%1 Aug
inferno13–20.0324%1 Aug
cache13–60.0616%1 Aug
inferno13–70.0128%1 Aug
dust210–13-0.0612%1 Aug
mirage16–120.0718%31 Jul
dust211–130.0918%31 Jul
nuke8–130.0010%31 Jul
ancient13–110.1020%30 Jul
mirage13–5-0.0513%30 Jul
dust29–13-0.0213%30 Jul
mirage13–3-0.0115%30 Jul
vertigo5–13-0.0624%30 Jul
vertigo2–13-0.0313%30 Jul
anubis13–60.1017%27 Jul
anubis16–13-0.039%27 Jul
ancient13–60.0329%27 Jul
cache16–140.0616%27 Jul
anubis14–160.0225%26 Jul
cache13–70.0424%25 Jul
cache13–5-0.0330%24 Jul
ancient4–13-0.0622%24 Jul
inferno13–8-0.0023%24 Jul
dust214–160.0225%23 Jul
anubis13–10-0.0519%22 Jul
anubis8–130.0211%22 Jul
cache13–10-0.0110%20 Jul
mirage11–130.0817%20 Jul
mirage13–70.0119%15 Jul
dust29–13-0.0217%15 Jul
dust213–11-0.0413%15 Jul
nuke2–110.0150%15 Jul
ancient7–13-0.0113%15 Jul
anubis10–13-0.0510%15 Jul
dust213–70.0319%15 Jul

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 →