GARYMODE6K;)

GARYMODE6K;) — CS2 Stats

FI76561198351991516[U:1:391725788]Steam profile ↗✓ No bans

978Tracked matches31%Win rate2023Tracked since
859Hours in CS
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating4,999Grey band · top ~78.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 4,999 -4,692 21 Mar – 4 Nov · 22 days played
4,5199,691peak 9,69121 Mar4 Nov
9,697Peak Premier in tracked matches
46Days played since 2026-03-21

Premier CS Rating

  • 4,692 below peak (9,691)
  • +439 over 30 days · improving
  • Next: Light Blue band at 5,000 — 1 to go
  • Reached: Light Blue band

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate48.5%42.7%43.8%above
Shot accuracy2.7%11.2%12.0%9.3% short
Kill/death ratio1.000.991.02meets
Match win rate36.6%43.9%44.7%8.2% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGARYMODE6K;)FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER4,999 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71
Positioning54
Utility48

0–100 skill scores via Leetify.

Recent form

COLD32–64–4Last 10032%Win rateWWLLTWLLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +2.5pp headshot accuracy · +37ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 600ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 605ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 587ms

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 (+1.4 against its own average).

Aim7.1
Utility4.8
Positioning5.4
Opening Duels3.4
Clutch2.6

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

jL

Plays most like jL 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 596ms 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
Positioning5.4
Utility4.8
Mechanics6.5
Opening Duels4.0
Win Impact0.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time592ms−43ms
first ⅓ avg 634ms → last ⅓ avg 592ms
Headshot accuracy19.4%+3.5%
first ⅓ avg 15.8% → last ⅓ avg 19.4%

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

0.12Best match rating · 6–13 · cache, 29 Sept →
35%Best headshot accuracy · 7–13 · cache, 1 Aug →
453msFastest reaction time · 8–8 · inferno, 13 Oct →
13–1Biggest win · mirage, 28 Oct →

Across the last 100 tracked matches.

Highlights

2Longest win streak
W2Current streak
3–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 50% over 14mirageWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
nukeC176–1135%-0.01
mirageD163–1319%0.01
dust2D153–1220%-0.01
infernoB147–750%0.01
cacheC114–736%0.01
anubisC114–736%-0.01
ancientD103–730%-0.03
warden—21–150%-0.02
overpass—21–150%0.02
vertigo—10–10%0.05
train—10–10%-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (19% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,738Lifetime kills
1.00K/D · Top 50% of Level 4 players
2,979Matches
36.6%Match win rate
48.5%Headshot % · Top 25% of Level 4 players
2.7%Shot accuracy
6,695MVPs
859Hours (in match)
1,704Bombs planted
596Bombs defused

Most-used weapons

AK-4715,005
AWP5,802
MP9765
Knife694

Lifetime map wins

4,696nuke
3,796inferno
1,835dust2
1,629vertigo
297office
254train
243lake
73cbble

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

Faceit stats

Combat

103Matches
49%Win rate
1.11Avg K/D
79.5ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2552%0.9114.2
Nuke1850%1.1517.8
Ancient1747%1.1817.8
Inferno1450%1.6517.3
Anubis1250%0.9614.8
Dust2743%0.8513.6
Cache633%1.1415.5
Overpass2100%1.0512.5

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.

19.3%Headshot accuracy
35.2%Accuracy (enemy spotted)
37.0%Spray accuracy
79.2%Counter-strafing
9.8°Preaim
596msReaction time
44.0%T opening success
48.1%CT opening success
0.46Enemies flashed / flash
5.2%Flash assists
7.96HE damage / grenade
8.73Flashes / 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 0.4628 — below the 0.5 mark we flag

    Grenade Lineups →
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.

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–120.0216%4 Nov →
nuke13–5-0.0116%3 Nov →
cache8–130.0219%30 Oct →
dust28–130.0231%30 Oct →
dust215–15-0.0127%28 Oct →
mirage13–10.0914%28 Oct →
mirage6–13-0.0022%15 Oct →
cache4–13-0.0233%15 Oct →
mirage7–13-0.0120%15 Oct →
dust25–13-0.0611%15 Oct →
cache13–60.0013%15 Oct →
nuke13–30.0220%15 Oct →
anubis4–13-0.0222%15 Oct →
ancient8–130.0222%14 Oct →
mirage9–13-0.0414%14 Oct →
anubis13–100.0110%14 Oct →
inferno8–8-0.0019%13 Oct →
ancient7–13-0.0319%12 Oct →
ancient7–13-0.0219%10 Oct →
dust25–13-0.0424%10 Oct →
cache13–90.0314%1 Oct →
inferno5–130.0323%1 Oct →
dust213–60.1114%1 Oct →
nuke13–160.009%30 Sept →
cache6–130.1221%29 Sept →
inferno13–60.1119%29 Sept →
mirage8–13-0.0421%27 Aug →
vertigo6–130.0513%22 Aug →
nuke4–13-0.0431%6 Aug →
cache11–130.1023%6 Aug →
inferno5–130.0324%6 Aug →
mirage6–130.1022%5 Aug →
nuke10–13-0.0515%5 Aug →
cache13–80.0313%4 Aug →
anubis16–14-0.039%4 Aug →
cache6–13-0.0320%3 Aug →
ancient10–13-0.0016%1 Aug →
nuke11–13-0.0514%1 Aug →
cache7–13-0.0235%1 Aug →
anubis15–150.0423%31 Jul →
dust27–13-0.0620%25 Jul →
mirage11–13-0.016%22 Jul →
inferno7–130.0116%22 Jul →
nuke12–120.0518%16 Jul →
dust22–13-0.0421%10 Jul →
anubis10–130.0115%2 Jul →
inferno13–20.1112%15 Jun →
mirage4–130.018%20 May →
nuke13–40.0218%7 May →
cache2–13-0.0829%30 Apr →
cache13–10-0.0414%30 Apr →
nuke6–130.029%25 Apr →
dust26–13-0.0611%25 Apr →
warden8–13-0.0410%23 Apr →
train1–13-0.1031%22 Apr →
mirage13–20.1211%21 Apr →
mirage11–13-0.0221%10 Apr →
inferno9–70.0415%7 Apr →
nuke9–13-0.0417%5 Apr →
warden13–70.0115%4 Apr →
nuke10–13-0.0311%1 Apr →
dust213–10.0317%29 Mar →
anubis6–13-0.0914%29 Mar →
anubis13–11-0.0517%28 Mar →
dust23–13-0.0112%28 Mar →
mirage14–160.0011%28 Mar →
ancient11–130.0017%28 Mar →
inferno4–9-0.159%28 Mar →
mirage5–13-0.0317%28 Mar →
nuke13–7-0.0120%28 Mar →
mirage8–13-0.0812%28 Mar →
inferno13–50.0014%28 Mar →
nuke13–80.0424%28 Mar →
inferno1–13-0.0918%27 Mar →
inferno13–5-0.0228%27 Mar →
dust27–130.0013%27 Mar →
overpass13–60.0713%27 Mar →
dust26–130.0316%25 Mar →
nuke14–16-0.0212%25 Mar →
dust210–130.0317%25 Mar →
overpass5–13-0.0314%24 Mar →
ancient10–13-0.0512%24 Mar →
nuke11–130.0212%24 Mar →
inferno5–130.0227%24 Mar →
ancient4–13-0.0514%24 Mar →
nuke13–8-0.0219%23 Mar →
anubis7–130.016%23 Mar →
inferno13–40.0615%23 Mar →
ancient13–10-0.0514%23 Mar →
dust26–13-0.0918%23 Mar →
anubis8–13-0.0311%22 Mar →
mirage4–13-0.036%22 Mar →
mirage13–30.0917%22 Mar →
anubis9–13-0.0215%22 Mar →
ancient16–12-0.0215%22 Mar →
nuke10–13-0.0018%22 Mar →
dust216–120.0022%21 Mar →
mirage9–13-0.0324%21 Mar →
anubis13–40.0615%21 Mar →
ancient13–9-0.0414%21 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.