gamma_gandalph

gamma_gandalph — CS2 Stats

DE76561197981767918[U:1:21502190]Steam profile ↗✓ No bans

415Tracked matches50%Win rate2020Tracked since
3,642Hours in CS
CSDB Rating5.6 SolidAll-Rounder
Premier CS Rating13,968Blue band · top ~33.9% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 13,968 → 13,968
+1Tracked matches · now 415
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 13,968 +1,285 13 May – 23 Sept · 14 days played
11,28714,087peak 14,08713 May23 Sept
14,087Peak Premier in tracked matches
33Days played since 2025-06-22

Premier CS Rating

  • 119 below peak (14,087)
  • +1,351 over 90 days
  • Next: Purple band at 15,000 — 1,032 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate47.5%42.0%44.4%above
Shot accuracy19.7%9.6%11.9%above
Kill/death ratio0.730.981.030.30 short
Match win rate36.3%43.8%45.2%8.9% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGgamma_gandalphPREMIER13,968 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning61
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWLLLWWLLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −3.0pp headshot accuracy · −30ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 661ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 649ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 663ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.1
Utility5.3
Positioning6.1
Opening Duels5.4

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 55% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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

Aim6.1
Positioning6.1
Utility5.3
Mechanics7.5
Opening Duels4.2
Win Impact5.0

Composite 5.6/10 (Solid), 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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time668ms−44ms
first ⅓ avg 712ms → last ⅓ avg 668ms
Headshot accuracy17.5%+2.0%
first ⅓ avg 15.5% → last ⅓ avg 17.5%

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

0.15Best match rating · 13–5 · dust2, 12 Apr →
33%Best headshot accuracy · 13–0 · inferno, 21 Mar →
500msFastest reaction time · 5–13 · inferno, 7 Jul →
13–0Biggest win · inferno, 21 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak
5–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 62% over 13mirageWeakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
mirageD248–1633%-0.02
dust2A2212–1055%0.02
infernoA138–562%-0.02
nukeB105–550%-0.01
ancientC94–544%-0.01
overpassC94–544%-0.00
cacheB84–450%0.00
anubis—41–325%-0.03
train—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 24). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

164,883Lifetime kills
0.73K/D
8,138Matches
36.3%Match win rate
47.5%Headshot % · Top 25% of Blue band
19.7%Shot accuracy · Top 5% of Blue band
17,139MVPs
3,642Hours (in match)
5,913Bombs planted
3,936Bombs defused

Most-used weapons

AK-4761,455
AWP16,409
P2502,527
UMP-452,178
FAMAS2,080

Lifetime map wins

10,331dust2
7,470inferno
5,717cbble
2,859train
2,328nuke
1,843vertigo
263lake
134safehouse

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

Faceit stats

Combat

133Matches
49%Win rate
0.81Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWW

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.

17.3%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.9%Spray accuracy
83.7%Counter-strafing
12.1°Preaim
665msReaction time
38.8%T opening success
54.7%CT opening success
0.61Enemies flashed / flash
11.3%Flash assists
7.94HE damage / grenade
4.77Flashes / 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 12.0633° — above the 12° 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.

33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke2–9-0.0418%3 Oct →
mirage13–90.0217%7 Jul →
inferno5–13-0.0516%7 Jul →
ancient3–13-0.046%7 Jul →
mirage11–130.0114%6 Jul →
cache13–70.0112%6 Jul →
cache9–00.0626%6 Jul →
overpass2–13-0.0216%1 Jul →
ancient9–13-0.0217%1 Jul →
ancient13–40.0215%30 Jun →
dust213–40.0012%30 Jun →
mirage12–16-0.0125%30 Jun →
dust211–13-0.0129%28 Jun →
dust216–140.0719%28 Jun →
ancient13–50.0114%28 Jun →
dust213–110.0325%27 Jun →
nuke13–10-0.0312%27 Jun →
inferno13–20.0120%27 Jun →
anubis11–13-0.0219%4 Jun →
dust213–50.0813%4 Jun →
mirage3–13-0.0316%4 Jun →
inferno13–50.0832%3 Jun →
ancient13–40.1026%3 Jun →
mirage11–130.058%3 Jun →
ancient8–13-0.0815%3 Jun →
dust213–60.1229%2 Jun →
nuke13–20.0213%2 Jun →
mirage7–130.0119%2 Jun →
dust210–130.069%1 Jun →
mirage6–13-0.013%1 Jun →
overpass7–130.0523%30 May →
mirage4–13-0.0314%30 May →
dust28–130.0626%30 May →
mirage7–13-0.0518%20 May →
ancient4–130.0414%15 May →
dust24–130.0011%15 May →
nuke7–13-0.0114%15 May →
mirage13–9-0.065%15 May →
nuke13–110.0016%13 May →
mirage12–16-0.0211%13 May →
dust211–13-0.0517%5 May →
inferno9–130.0218%2 May →
anubis5–13-0.0219%2 May →
nuke1–13-0.0028%2 May →
mirage6–13-0.1118%2 May →
cache13–5-0.0720%2 May →
cache13–6-0.0019%1 May →
dust213–9-0.0515%1 May →
inferno6–13-0.046%1 May →
overpass9–13-0.0114%1 May →
mirage4–13-0.0215%1 May →
cache9–130.1423%1 May →
cache4–13-0.0229%1 May →
cache6–13-0.0813%1 May →
cache8–13-0.0121%29 Apr →
ancient3–13-0.0513%24 Apr →
mirage13–70.0818%24 Apr →
nuke13–70.0119%24 Apr →
overpass7–13-0.009%24 Apr →
anubis3–13-0.0511%22 Apr →
mirage4–13-0.0426%22 Apr →
dust24–13-0.0714%22 Apr →
dust212–12-0.0217%21 Apr →
inferno13–5-0.069%21 Apr →
dust23–13-0.0821%21 Apr →
mirage11–130.0012%12 Apr →
dust213–50.1516%12 Apr →
inferno13–11-0.0113%11 Apr →
mirage13–8-0.0419%11 Apr →
dust213–50.0014%11 Apr →
inferno11–13-0.0213%8 Apr →
nuke15–150.0316%8 Apr →
mirage13–7-0.0327%7 Apr →
dust215–150.0119%7 Apr →
inferno6–13-0.0923%4 Apr →
mirage2–13-0.0122%4 Apr →
dust28–130.0120%4 Apr →
inferno13–7-0.0415%3 Apr →
dust213–10.1416%3 Apr →
dust213–7-0.0523%21 Mar →
overpass13–7-0.0227%21 Mar →
mirage13–60.0319%21 Mar →
inferno13–0-0.1433%21 Mar →
mirage7–13-0.0414%20 Dec →
overpass7–130.0011%20 Dec →
dust213–70.0410%20 Dec →
nuke10–13-0.0518%31 Aug →
overpass13–80.0210%31 Aug →
mirage13–6-0.084%31 Aug →
ancient13–9-0.0318%31 Aug →
mirage11–130.029%31 Aug →
anubis13–6-0.0120%31 Aug →
train13–90.038%31 Aug →
dust213–6-0.0311%31 Aug →
inferno13–90.0111%31 Aug →
overpass13–11-0.0015%6 Aug →
nuke4–00.038%6 Aug →
inferno13–00.053%6 Aug →
mirage13–9-0.0414%6 Aug →
overpass13–5-0.054%22 Jun →

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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