Gollum

Gollum — CS2 Stats

UM76561198122766890[U:1:162501162]Steam profile ↗✓ No bans

603Tracked matches53%Win rate2023Tracked since
720Hours in CS53Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating16,815Purple band · top ~21.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+4Premier CS Rating · 16,811 → 16,815

Rating over time

Premier CS Rating: 16,815 +3,094 31 Aug – 14 Nov · 23 days played
12,94217,205peak 17,20531 Aug14 Nov
17,551Peak Premier in tracked matches
21Days played since 2026-08-31

Premier CS Rating

  • 390 below peak (17,205)
  • +194 over 30 days · steady
  • Next: Pink band at 20,000 — 3,185 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-21
  • Blue band first seen 2026-08-31

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 rate55.4%44.4%46.9%above
Shot accuracy0.6%11.9%13.0%12.4% short
Kill/death ratio0.871.031.080.21 short
Match win rate41.4%45.2%46.7%5.3% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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.

Share this profile

CSDB.GGGollumPREMIER16,815 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning55
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWWLLLWLWWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −1.3pp headshot accuracy · −36ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 19%
  • Avg reaction 610ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 597ms

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 (+1.1 against its own average).

Aim7.1
Utility4.2
Positioning5.5
Opening Duels3.4

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

m0NESY

Plays most like m0NESY 89% 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

Areas to improve

Reaction time. 570ms 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

Aim7.1
Positioning5.5
Utility4.2
Mechanics5.4
Opening Duels4.6
Win Impact6.1

Composite 5.7/10 (Solid), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time579ms−19ms
first ⅓ avg 598ms → last ⅓ avg 579ms
Headshot accuracy21.1%−2.5%
first ⅓ avg 23.5% → last ⅓ avg 21.1%

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

0.11Best match rating · 13–0 · mirage, 7 Nov →
38%Best headshot accuracy · 13–6 · ancient, 23 Oct →
391msFastest reaction time · 9–7 · inferno, 14 Nov →
13–0Biggest win · mirage, 7 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
6–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 75% over 16infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB2111–1052%-0.00
mirageD185–1328%-0.02
dust2S1612–475%0.00
ancientS139–469%0.00
cacheB115–645%-0.01
infernoD112–918%-0.03
anubisA74–357%-0.01
debris—22–0100%0.09
vertigo—10–10%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,661Lifetime kills
0.87K/D
867Matches
41.4%Match win rate
55.4%Headshot % · Top 25% of Purple band
0.6%Shot accuracy
1,706MVPs
337Hours (in match)
756Bombs planted
235Bombs defused

Most-used weapons

Lifetime map wins

1,758dust2
1,320nuke
544inferno
21vertigo
17train

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.

20.8%Headshot accuracy
35.7%Accuracy (enemy spotted)
40.2%Spray accuracy
74.4%Counter-strafing
11.1°Preaim
570msReaction time
48.9%T opening success
48.2%CT opening success
0.65Enemies flashed / flash
3.8%Flash assists
6.15HE damage / grenade
4.03Flashes / match

Recommended for you

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–00.0120%14 Nov →
mirage13–100.0124%14 Nov →
nuke9–13-0.0720%14 Nov →
mirage6–13-0.0225%14 Nov →
inferno2–9-0.217%14 Nov →
ancient13–110.0122%14 Nov →
inferno14–16-0.0428%14 Nov →
debris9–70.0826%14 Nov →
inferno9–70.0729%14 Nov →
mirage11–13-0.0212%13 Nov →
nuke6–13-0.0713%13 Nov →
nuke13–100.0624%13 Nov →
anubis13–90.0029%13 Nov →
ancient13–3-0.0216%13 Nov →
dust210–2-0.0516%13 Nov →
inferno10–13-0.0220%13 Nov →
debris9–40.1024%12 Nov →
dust213–70.0520%10 Nov →
nuke3–13-0.0326%10 Nov →
dust213–60.0537%10 Nov →
inferno11–13-0.0126%10 Nov →
inferno5–9-0.0725%8 Nov →
inferno16–130.0228%8 Nov →
anubis13–50.0321%7 Nov →
anubis4–13-0.0515%7 Nov →
mirage11–13-0.0819%7 Nov →
nuke13–90.0620%7 Nov →
anubis13–30.0214%7 Nov →
mirage13–00.1128%7 Nov →
dust213–50.0021%7 Nov →
nuke11–13-0.0212%7 Nov →
nuke14–16-0.0316%7 Nov →
anubis13–7-0.0616%7 Nov →
dust26–13-0.0319%7 Nov →
nuke9–13-0.0415%6 Nov →
dust21–13-0.1019%6 Nov →
mirage4–13-0.0524%6 Nov →
mirage1–13-0.1013%6 Nov →
mirage13–7-0.0717%6 Nov →
nuke4–130.0023%6 Nov →
mirage5–13-0.0428%6 Nov →
nuke13–90.0228%6 Nov →
ancient13–110.0219%6 Nov →
nuke9–13-0.0430%4 Nov →
inferno14–16-0.0316%4 Nov →
dust213–100.0620%4 Nov →
mirage7–130.0022%2 Nov →
ancient8–13-0.0518%1 Nov →
nuke13–6-0.0321%1 Nov →
nuke13–4-0.0316%1 Nov →
ancient13–8-0.0619%1 Nov →
vertigo8–80.0022%1 Nov →
nuke8–80.0230%1 Nov →
dust213–30.0829%1 Nov →
ancient4–130.0320%1 Nov →
nuke13–60.0327%31 Oct →
cache8–0-0.0130%31 Oct →
dust213–8-0.0225%31 Oct →
mirage16–13-0.0320%31 Oct →
cache13–60.0420%31 Oct →
dust213–10-0.0133%31 Oct →
nuke13–80.1020%31 Oct →
anubis10–130.0421%31 Oct →
mirage13–8-0.0429%31 Oct →
cache13–16-0.0612%30 Oct →
nuke13–7-0.0119%30 Oct →
nuke13–8-0.0329%30 Oct →
mirage3–130.0119%29 Oct →
ancient13–10-0.0730%29 Oct →
dust210–13-0.0417%29 Oct →
ancient13–80.0617%29 Oct →
cache16–12-0.0428%29 Oct →
nuke16–130.0513%29 Oct →
dust213–60.0514%28 Oct →
mirage5–13-0.0414%28 Oct →
ancient13–110.0126%28 Oct →
mirage10–13-0.1026%27 Oct →
dust213–60.0129%27 Oct →
inferno6–130.0424%27 Oct →
ancient11–130.0716%27 Oct →
mirage8–130.0620%27 Oct →
nuke14–16-0.0029%27 Oct →
cache7–13-0.0227%26 Oct →
inferno8–13-0.0525%26 Oct →
mirage9–130.0428%24 Oct →
ancient13–60.0438%23 Oct →
dust26–13-0.0022%23 Oct →
nuke13–70.0436%23 Oct →
dust213–110.0126%23 Oct →
cache4–13-0.0825%23 Oct →
cache8–13-0.0714%22 Oct →
cache13–10.0723%22 Oct →
cache10–130.0722%22 Oct →
inferno6–13-0.0629%21 Oct →
cache11–130.0129%21 Oct →
ancient13–50.0520%21 Oct →
ancient9–13-0.0518%21 Oct →
dust213–8-0.0125%20 Oct →
mirage13–16-0.0522%20 Oct →
anubis5–13-0.0426%20 Oct →

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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