Gullan

Gullan — CS2 Stats

NO76561197966945308[U:1:6679580]Steam profile ↗✓ No bans

1,172Tracked matches52%Win rate2021Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating18,023Purple band · top ~16.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
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.

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

Rating over time

Premier CS Rating: 18,023 +385 8 Apr – 27 Oct · 27 days played
14,69819,518peak 19,5188 Apr27 Oct
19,770Peak Premier in tracked matches
35Days played since 2026-04-08

Premier CS Rating

  • 1,495 below peak (19,518)
  • +2,501 over 30 days · improving
  • Next: Pink band at 20,000 — 1,977 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGGullanFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,023 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning64
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWWWWWWLLLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.5pp headshot accuracy · +39ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 580ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 547ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 527ms

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 (+2.4 against its own average).

Aim8.3
Utility5.6
Positioning6.4
Opening Duels4.1
Clutch0.0

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 98% playstyle similarity

Most alike: opening-duel success, utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.3
Positioning6.4
Utility5.6
Mechanics7.0
Opening Duels4.6
Win Impact5.6

Composite 6.7/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time520ms−50ms
first ⅓ avg 570ms → last ⅓ avg 520ms
Headshot accuracy24.0%+6.4%
first ⅓ avg 17.6% → last ⅓ avg 24.0%

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 · 13–3 · mirage, 2 Aug →
45%Best headshot accuracy · 10–4 · inferno, 15 Sept →
406msFastest reaction time · 11–13 · inferno, 17 Oct →
13–1Biggest win · nuke, 27 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W6Current streak
7–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 73% over 15anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2413–1154%0.01
nukeA2213–959%0.02
mirageC166–1038%0.00
ancientS1511–473%0.04
anubisD92–722%0.02
dust2A74–357%0.05
cacheB63–350%0.02
overpass—11–0100%0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
100%Win rate
1.12Avg K/D
78.2ADR
62%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Train2100%1.3617.0
Nuke1100%1.0715.0
Inferno1100%0.6815.0

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.

24.2%Headshot accuracy
35.7%Accuracy (enemy spotted)
34.9%Spray accuracy
81.6%Counter-strafing
9.8°Preaim
514msReaction time
50.4%T opening success
46.3%CT opening success
0.54Enemies flashed / flash
3.7%Flash assists
9.44HE damage / grenade
10.54Flashes / match

Recommended for you

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0216%27 Oct →
nuke13–10.1021%27 Oct →
cache13–40.0923%24 Oct →
dust213–80.0325%24 Oct →
mirage13–70.0230%24 Oct →
dust213–80.0732%24 Oct →
ancient3–130.0925%23 Oct →
anubis12–16-0.0529%17 Oct →
mirage8–13-0.0226%17 Oct →
inferno11–13-0.0123%17 Oct →
nuke8–130.0024%5 Oct →
anubis1–13-0.0428%5 Oct →
inferno13–50.0528%5 Oct →
nuke13–60.107%5 Oct →
cache16–13-0.0118%3 Oct →
anubis11–130.0727%30 Sept →
nuke13–30.0616%30 Sept →
mirage10–13-0.0327%30 Sept →
inferno15–15-0.0131%26 Sept →
ancient16–130.1332%26 Sept →
cache3–13-0.0015%26 Sept →
nuke13–80.0019%21 Sept →
cache13–90.0320%21 Sept →
inferno10–4-0.0545%15 Sept →
ancient8–130.0829%15 Sept →
mirage13–50.0514%15 Sept →
inferno10–130.0316%30 Aug →
mirage7–13-0.0121%30 Aug →
anubis14–160.0228%30 Aug →
dust211–130.0826%28 Aug →
mirage9–13-0.0530%26 Aug →
ancient13–90.0225%26 Aug →
nuke13–60.0216%26 Aug →
mirage4–13-0.0724%6 Aug →
cache8–13-0.0130%6 Aug →
inferno4–13-0.0528%6 Aug →
anubis8–13-0.0718%5 Aug →
inferno13–80.0228%5 Aug →
anubis9–130.0620%5 Aug →
nuke6–13-0.0113%5 Aug →
mirage13–30.1726%2 Aug →
ancient13–100.0824%2 Aug →
mirage13–110.0027%1 Aug →
anubis13–60.1027%1 Aug →
ancient13–40.0626%1 Aug →
cache11–130.0127%1 Aug →
nuke3–130.027%1 Aug →
nuke5–13-0.0325%30 Jul →
inferno9–13-0.0033%30 Jul →
nuke13–30.0217%21 Jun →
mirage10–13-0.0325%21 Jun →
nuke13–10-0.0122%21 Jun →
inferno13–40.0228%21 Jun →
ancient13–100.0614%21 Jun →
inferno8–130.0327%12 Jun →
inferno13–110.0119%12 Jun →
ancient13–10-0.0026%8 Jun →
dust213–40.1236%8 Jun →
nuke6–13-0.0220%8 Jun →
inferno11–130.0428%3 Jun →
anubis13–16-0.0226%26 May →
nuke13–70.0626%26 May →
inferno13–11-0.0123%26 May →
nuke13–40.0622%26 May →
mirage5–13-0.0232%16 May →
ancient13–100.0119%16 May →
inferno13–110.0036%14 May →
ancient13–2-0.048%14 May →
nuke11–130.0117%14 May →
inferno8–130.0115%14 May →
ancient7–13-0.0412%13 May →
inferno13–70.0222%13 May →
mirage7–130.0416%13 May →
inferno13–7-0.0114%13 May →
nuke13–7-0.0121%13 May →
nuke13–16-0.0231%6 May →
nuke13–160.0120%6 May →
inferno13–11-0.0419%1 May →
inferno13–30.0721%1 May →
inferno14–160.0527%1 May →
mirage13–110.0324%1 May →
ancient13–80.0215%1 May →
overpass13–90.1022%27 Apr →
nuke13–5-0.0015%27 Apr →
dust210–13-0.0011%27 Apr →
mirage9–130.007%21 Apr →
dust29–13-0.0114%21 Apr →
nuke7–13-0.0319%21 Apr →
ancient13–20.1225%17 Apr →
dust213–80.0821%17 Apr →
ancient5–13-0.0618%17 Apr →
nuke16–140.0917%16 Apr →
mirage5–13-0.0611%16 Apr →
inferno11–13-0.069%16 Apr →
ancient13–90.0713%14 Apr →
inferno13–70.0226%11 Apr →
anubis13–70.0818%11 Apr →
inferno8–130.0220%11 Apr →
nuke13–50.0215%11 Apr →
inferno13–60.0419%8 Apr →

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 →

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