Morgan

Morgan — CS2 Stats

76561197994178244[U:1:33912516]Steam profile ↗

696Tracked matches63%Win rate2020Tracked since
2,275Hours in CS
CSDB Rating6.8 SolidHybrid Rifler
Premier CS Rating22,523Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#8663 of 32972 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 playerPink band medianRed band medianvs Red band
Headshot rate32.4%47.2%49.9%17.6% short
Shot accuracy17.0%12.7%13.4%above
Kill/death ratio1.091.091.120.03 short
Match win rate43.7%46.6%48.4%4.7% short

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

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGMorganPREMIER22,523 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning58
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY57421Last 10057%Win rateLWLLWWLWLL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.6
Aggression6.1
Utility6.3
Positioning5.8
Opening Duels1.2
Clutch0.6

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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 46% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim7.6
Positioning5.8
Utility6.3
Mechanics7.5
Opening Duels2.1
Win Impact9.4

Composite 6.8/10 (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 rating0.05+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time588ms−21ms
first ⅓ avg 609ms → last ⅓ avg 588ms
Headshot accuracy19.1%+2.1%
first ⅓ avg 17.0% → last ⅓ avg 19.1%

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.

Highlights

0.28Best rating — cache 13–1
131Biggest win — cache
11Longest win streak
911In matches decided by ≤2 rounds
12Overtime games

Map breakdown

trainBest map · 100% over 5ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2217577%0.05
infernoA1810856%0.04
mirageD1861233%0.04
nukeB158753%0.04
cacheS76186%0.10
overpassA74357%0.04
ancientD51420%-0.02
trainS550100%0.04
anubis1010%-0.07
office1010%0.06
vertigo1010%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

115,450Lifetime kills
1.09K/D · Top 50% of Pink band
6,117Matches
43.7%Match win rate
32.4%Headshot %
17.0%Shot accuracy · Top 25% of Pink band
14,081MVPs
2,275Hours (in match)
3,712Bombs planted
1,179Bombs defused

Most-used weapons

AK-4729,063
AWP18,979
Knife3,769
MAC-102,976
SG 5532,926
AUG2,465

Lifetime map wins

6,852dust2
5,812inferno
2,726nuke
1,877train
1,096vertigo
734office
411cbble
205bank

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

Faceit stats

Combat

513Matches
57%Win rate
1.30Avg K/D
89.3ADR
38%Headshot %

Clutches & streaks

23%1v1 clutch win
36%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3174%1.3717.6
Dust22642%1.1518.7
Anubis1958%1.2717.3
Nuke1675%1.1016.3
Train1580%1.4719.1
Mirage1443%1.1115.7
Ancient1242%1.1718.6
Vertigo367%1.6023.0

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.

18.7%Headshot accuracy
37.2%Accuracy (enemy spotted)
40.2%Spray accuracy
83.8%Counter-strafing
11.2°Preaim
576msReaction time
23.4%T opening success
46.5%CT opening success
0.65Enemies flashed / flash
7.6%Flash assists
7.40HE damage / grenade
14.97Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 23.3556% — below the 40% mark we flag

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno2–13-0.0616%15 Aug
nuke13–110.0115%15 Aug
dust211–130.0129%15 Aug
nuke9–130.0110%16 Jun
nuke13–50.0714%16 Jun
dust213–70.0421%27 May
mirage4–13-0.0613%15 May
ancient13–110.0015%13 May
mirage4–13-0.0529%12 May
dust24–13-0.0215%10 May
inferno16–120.0517%8 May
cache13–40.0615%8 May
inferno13–40.0114%8 May
mirage9–13-0.026%7 May
overpass14–160.1018%6 May
overpass13–9-0.0119%3 May
dust213–30.0824%3 May
dust213–90.0215%3 May
cache14–160.0017%2 May
cache13–110.0523%2 May
ancient8–13-0.0628%2 May
inferno0–6-0.010%2 May
dust213–30.0619%2 May
mirage13–110.0116%2 May
cache13–110.0812%30 Apr
dust213–60.1633%29 Apr
dust213–100.2126%29 Apr
cache13–30.1023%29 Apr
cache13–30.1437%29 Apr
cache13–10.2813%29 Apr
mirage13–40.2724%28 Apr
inferno13–70.0922%27 Apr
inferno13–40.0533%27 Apr
overpass7–130.1415%26 Apr
mirage16–14-0.0117%26 Apr
anubis1–10-0.0729%26 Apr
inferno13–30.0244%26 Apr
inferno13–7-0.0012%26 Apr
inferno7–130.0515%26 Apr
mirage12–160.0312%25 Apr
dust213–30.0920%25 Apr
overpass13–90.0217%23 Apr
mirage11–130.0312%23 Apr
office10–130.0623%22 Apr
inferno13–10.2231%22 Apr
mirage13–90.1625%22 Apr
vertigo5–130.0612%22 Apr
mirage11–130.0919%22 Apr
dust213–70.1412%21 Apr
inferno14–160.0311%19 Apr
dust213–50.0420%19 Apr
dust213–80.0614%19 Apr
mirage5–130.0720%19 Apr
inferno8–130.0910%19 Apr
nuke9–130.1115%16 Apr
dust213–100.0216%16 Apr
mirage13–20.1228%16 Apr
dust213–90.2429%16 Apr
dust216–140.0536%16 Apr
mirage1–90.0114%14 Apr
dust213–100.028%11 Apr
dust213–50.0116%11 Apr
nuke13–8-0.0114%4 Apr
dust29–13-0.0316%4 Apr
mirage3–130.0023%31 Mar
ancient10–13-0.0019%8 Dec
dust213–20.0719%8 Dec
inferno13–60.0414%8 Dec
nuke8–13-0.0326%8 Dec
train13–30.1335%7 Dec
nuke8–130.008%7 Dec
nuke13–30.0413%6 Dec
overpass13–11-0.0113%6 Dec
dust24–13-0.0222%6 Dec
overpass13–80.039%6 Dec
mirage11–13-0.0311%3 Dec
nuke9–130.0415%3 Dec
dust214–16-0.0411%3 Dec
nuke7–130.0225%3 Dec
ancient6–13-0.0211%29 Nov
train13–90.0119%29 Nov
dust213–6-0.0125%29 Nov
mirage13–100.0425%27 Nov
inferno5–13-0.059%27 Nov
mirage14–16-0.0213%25 Nov
ancient11–130.0019%22 Nov
nuke13–60.0512%22 Nov
overpass8–130.0118%22 Nov
mirage15–150.0223%18 Nov
inferno9–13-0.0218%18 Nov
train13–9-0.0316%16 Nov
inferno16–130.0516%15 Nov
nuke13–20.1322%15 Nov
train13–90.0526%15 Nov
nuke13–80.0215%15 Nov
nuke10–13-0.049%7 Nov
train13–110.0614%7 Nov
inferno14–16-0.0416%13 Oct
nuke13–10.1717%18 Sept
inferno13–30.1516%18 Sept

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →