morG

morG — CS2 Stats

US76561198125148891[U:1:164883163]Steam profile ↗✓ No bans

2,287Tracked matches41%Win rate2020Tracked since
4,215Hours in CS47Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating22,874Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#45134 of 260030 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
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.

+61Premier CS Rating · 22,813 → 22,874

Rating over time

Premier CS Rating: 22,874 +4,899 28 Aug – 5 Nov · 15 days played
17,97525,014peak 25,01428 Aug5 Nov
25,120Peak Premier in tracked matches
15Days played since 2026-08-28

Premier CS Rating

  • 2,140 below peak (25,014)
  • Next: Red band at 25,000 — 2,126 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-10-16
  • Purple band first seen 2026-08-28

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate54.0%46.8%48.2%above
Shot accuracy8.7%13.0%13.2%4.5% short
Kill/death ratio1.181.061.07above
Match win rate48.5%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmorGFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,874 · Pink 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

Aim67
Positioning62
Utility50

0–100 skill scores via Leetify.

Recent form

COLD45–48–7Last 10045%Win rateTLWLLWLWLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −10.5pp headshot accuracy · −18ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 581ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 578ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • 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 (+1.9 against its own average).

Aim6.7
Utility5.0
Positioning6.2
Opening Duels2.5
Clutch3.6

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

iM

Plays most like iM 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 597ms 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

Aim6.7
Positioning6.2
Utility5.0
Mechanics7.1
Opening Duels2.9
Win Impact2.1

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time602ms+10ms
first ⅓ avg 592ms → last ⅓ avg 602ms
Headshot accuracy16.5%−0.6%
first ⅓ avg 17.2% → last ⅓ avg 16.5%

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

0.14Best match rating · 13–5 · dust2, 24 Oct →
38%Best headshot accuracy · 13–16 · dust2, 26 Oct →
438msFastest reaction time · 8–13 · cache, 29 Oct →
13–1Biggest win · mirage, 26 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–9In matches decided by ≤2 rounds
18Overtime games

Map breakdown

anubisBest map · 60% over 15nukeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
cacheC198–1142%-0.01
dust2C197–1237%0.02
mirageB199–1047%0.01
anubisA159–660%-0.01
ancientB126–650%-0.00
nukeC114–736%0.00
infernoC52–340%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,515Lifetime kills
1.18K/D · Top 50% of Level 8 players
4,080Matches
48.5%Match win rate · Top 50% of Level 8 players
54.0%Headshot % · Top 25% of Level 8 players
8.7%Shot accuracy
8,232MVPs
2,605Hours (in match)
4,616Bombs planted
1,552Bombs defused

Most-used weapons

AK-4750,439
AWP4,083
FAMAS1,995
P2501,962
MP91,844

Lifetime map wins

12,415dust2
4,359inferno
3,573nuke
873vertigo
563cbble
562train
469office
33italy

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

Faceit stats

Combat

376Matches
53%Win rate
1.15Avg K/D
81.0ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust27953%1.2515.4
Mirage6856%1.2516.4
Cache3944%1.0215.2
Anubis3768%1.2614.3
Ancient3361%1.1215.8
Nuke3142%1.2616.4
Inferno2450%1.1414.6
Overpass757%0.8513.4

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.

17.2%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.1%Spray accuracy
82.0%Counter-strafing
10.3°Preaim
597msReaction time
41.9%T opening success
41.6%CT opening success
0.46Enemies flashed / flash
3.4%Flash assists
8.68HE damage / grenade
4.46Flashes / 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 0.4573 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke15–15-0.0317%5 Nov →
cache10–13-0.058%4 Nov →
anubis13–4-0.0111%4 Nov →
ancient9–130.0412%4 Nov →
dust20–7-0.050%2 Nov →
cache13–60.0311%2 Nov →
nuke4–13-0.069%2 Nov →
cache16–140.0312%2 Nov →
ancient9–13-0.0215%30 Oct →
cache8–130.048%29 Oct →
anubis16–14-0.0511%27 Oct →
inferno0–13-0.094%27 Oct →
dust213–160.0138%26 Oct →
mirage16–140.0923%26 Oct →
dust211–130.0722%26 Oct →
cache4–13-0.0124%26 Oct →
mirage13–70.0526%26 Oct →
mirage13–10.1330%26 Oct →
ancient7–13-0.0217%26 Oct →
dust213–50.0614%26 Oct →
mirage5–13-0.0921%26 Oct →
cache13–7-0.0616%26 Oct →
ancient8–13-0.0220%26 Oct →
dust211–13-0.0618%26 Oct →
mirage13–110.0321%25 Oct →
cache3–10-0.0113%25 Oct →
ancient8–13-0.0211%25 Oct →
ancient13–40.0211%25 Oct →
cache11–13-0.0627%24 Oct →
dust213–50.1424%24 Oct →
mirage4–130.0315%24 Oct →
cache15–15-0.0214%24 Oct →
dust26–130.0524%24 Oct →
nuke13–100.0313%24 Oct →
anubis6–13-0.1110%24 Oct →
dust28–13-0.0311%23 Oct →
nuke6–13-0.0219%23 Oct →
mirage6–13-0.0526%23 Oct →
mirage13–3-0.0114%23 Oct →
ancient13–5-0.0514%23 Oct →
inferno16–140.0017%23 Oct →
ancient13–50.1114%23 Oct →
inferno3–130.0414%23 Oct →
anubis15–15-0.0813%23 Oct →
mirage4–13-0.0220%23 Oct →
cache13–60.0214%23 Oct →
ancient9–20.0514%23 Oct →
cache11–130.039%23 Oct →
mirage16–14-0.039%23 Oct →
dust210–13-0.0518%23 Oct →
nuke9–13-0.0016%23 Oct →
dust214–16-0.0113%23 Oct →
anubis9–13-0.078%22 Oct →
cache13–110.0314%22 Oct →
anubis13–90.0117%22 Oct →
nuke13–90.0212%22 Oct →
anubis9–13-0.0011%22 Oct →
dust213–16-0.0422%21 Oct →
mirage3–13-0.0615%21 Oct →
dust213–70.0623%21 Oct →
dust213–20.0714%20 Oct →
anubis13–70.0530%20 Oct →
anubis13–100.0212%20 Oct →
nuke10–130.0825%20 Oct →
cache13–10-0.0123%20 Oct →
nuke15–15-0.0120%20 Oct →
nuke13–50.0128%20 Oct →
inferno13–100.0832%20 Oct →
cache4–13-0.0318%20 Oct →
mirage13–40.1227%20 Oct →
dust213–50.0220%20 Oct →
cache6–3-0.0014%20 Oct →
mirage15–15-0.0216%20 Oct →
mirage8–130.0523%20 Oct →
mirage5–13-0.089%20 Oct →
ancient15–150.018%20 Oct →
cache6–13-0.0913%20 Oct →
dust26–100.0114%20 Oct →
mirage14–16-0.037%20 Oct →
dust211–130.0123%20 Oct →
inferno4–13-0.0219%20 Oct →
anubis15–150.0125%20 Oct →
dust213–10-0.0015%20 Oct →
mirage6–13-0.0424%20 Oct →
anubis13–7-0.0014%20 Oct →
dust27–13-0.0117%19 Oct →
anubis13–8-0.0118%19 Oct →
ancient13–11-0.104%19 Oct →
anubis13–90.0223%19 Oct →
nuke13–11-0.0229%19 Oct →
ancient16–13-0.0118%19 Oct →
anubis16–140.0315%19 Oct →
dust213–40.0513%19 Oct →
cache8–13-0.0118%19 Oct →
mirage13–70.1022%19 Oct →
cache13–60.0811%19 Oct →
cache3–13-0.0613%18 Oct →
nuke11–130.0212%18 Oct →
mirage13–7-0.0017%18 Oct →
anubis11–130.0418%18 Oct →

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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