morganlee — CS2 Stats

US76561198052493656[U:1:92227928]Steam profile ↗

1,004Tracked matches31%Win rate2021Tracked since

2,265Hours in CS

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating18,267Purple band · top ~15.4% of ranked players (population est.)

CSDB Leaderboard#8293 of 15450 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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.

Metric	This player	Pink band median	vs Pink band
Headshot rate	52.2%	48.1%	above
Shot accuracy	15.0%	12.9%	above
Kill/death ratio	0.90	1.08	0.18 short
Match win rate	38.7%	46.5%	7.7% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.

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Performance scores

Aim83

Positioning65

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWLWWLLLLWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.3

Aggression8.9

Utility4.8

Positioning6.5

Opening Duels5.0

Clutch0.0

Excellent counter-strafing

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

Plays most like donk 92% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Strengths

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 640ms 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

Aim8.3

Positioning6.5

Utility4.8

Mechanics9.6

Opening Duels5.0

Win Impact0.0

Composite 6.5/10 (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 rating0.03−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time648ms−42ms

first ⅓ avg 690ms → last ⅓ avg 648ms

Headshot accuracy23.6%−2.9%

first ⅓ avg 26.5% → last ⅓ avg 23.6%

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

0.19Best rating — dust2 13–5

12–0Biggest win — cache

5Longest win streak

5–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 58% over 26infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	15–11	58%	0.04
dust2	B	19	10–9	53%	0.05
inferno	D	14	4–10	29%	0.02
cache	B	13	7–6	54%	0.01
nuke	B	8	4–4	50%	0.01
anubis	C	7	3–4	43%	0.05
ancient	—	4	1–3	25%	0.05
vertigo	—	3	0–3	0%	0.05
overpass	—	3	1–2	33%	0.01
train	—	2	0–2	0%	-0.02
office	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

128,965Lifetime kills

0.90K/D

4,771Matches

38.7%Match win rate

52.2%Headshot % · Top 50% of tracked players

15.0%Shot accuracy · Top 50% of tracked players

10,705MVPs

2,265Hours (in match)

3,388Bombs planted

1,247Bombs defused

Most-used weapons

AK-4767,473

M4A4 / M4A1-S19,017

AWP6,466

P2000 / USP-S6,276

Desert Eagle6,137

Glock-183,918

FAMAS2,924

P2502,834

Galil AR1,990

Knife1,810

Lifetime map wins

12,254dust2

4,836inferno

1,746nuke

967vertigo

673cbble

584train

406office

81assault

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

Faceit stats

Combat

215Matches

52%Win rate

1.24Avg K/D

102.5ADR

47%Headshot %

Clutches & streaks

19%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	10	70%	1.53	19.4
Vertigo	9	56%	1.28	16.2
Mirage	7	71%	1.47	19.7
Ancient	7	43%	1.41	17.7
Overpass	5	20%	1.16	19.2
Dust2	5	20%	1.63	17.8
Anubis	4	25%	0.93	15.3
Nuke	3	67%	1.15	14.3

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.

23.6%Headshot accuracy

35.5%Accuracy (enemy spotted)

37.1%Spray accuracy

93.3%Counter-strafing

8.8°Preaim

640msReaction time

44.9%T opening success

54.8%CT opening success

0.56Enemies flashed / flash

6.0%Flash assists

7.47HE damage / grenade

7.79Flashes / 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–6	0.01	22%	26 Aug →
anubis	6–13	0.07	30%	26 Aug →
dust2	13–11	-0.00	22%	19 Aug →
cache	13–11	-0.04	20%	17 Aug →
vertigo	8–13	0.01	38%	17 Aug →
mirage	7–13	-0.03	23%	17 Aug →
vertigo	10–13	0.04	23%	16 Aug →
office	7–13	0.07	24%	16 Aug →
dust2	13–7	0.11	34%	16 Aug →
dust2	8–13	-0.01	18%	15 Aug →
cache	12–12	0.02	19%	14 Aug →
inferno	10–13	0.08	25%	14 Aug →
nuke	9–13	-0.03	29%	14 Aug →
dust2	11–13	0.06	14%	13 Aug →
mirage	13–6	0.06	20%	12 Aug →
mirage	7–13	0.03	24%	12 Aug →
mirage	5–13	-0.05	29%	11 Aug →
inferno	10–13	0.07	21%	11 Aug →
cache	13–7	-0.06	17%	11 Aug →
inferno	13–3	0.05	33%	11 Aug →
dust2	8–13	-0.02	24%	11 Aug →
inferno	6–13	-0.02	24%	10 Aug →
nuke	11–13	-0.03	17%	10 Aug →
cache	6–13	0.01	24%	9 Aug →
dust2	7–13	0.06	20%	6 Aug →
nuke	8–13	0.01	43%	6 Aug →
nuke	16–14	-0.00	26%	6 Aug →
mirage	13–9	0.10	17%	5 Aug →
anubis	11–13	0.08	18%	5 Aug →
cache	11–13	0.02	17%	5 Aug →
mirage	13–9	0.13	18%	4 Aug →
cache	7–13	-0.03	25%	3 Aug →
dust2	13–8	0.13	18%	3 Aug →
dust2	11–13	0.00	19%	2 Aug →
mirage	4–13	-0.03	16%	30 Jul →
anubis	13–6	0.13	21%	30 Jul →
inferno	13–10	-0.01	23%	29 Jul →
dust2	13–8	0.13	28%	29 Jul →
ancient	13–9	0.04	22%	28 Jul →
mirage	9–13	0.06	26%	28 Jul →
cache	6–13	0.04	29%	28 Jul →
dust2	10–13	0.05	19%	26 Jul →
mirage	13–9	-0.00	13%	26 Jul →
inferno	4–13	-0.03	21%	24 Jul →
anubis	13–6	0.09	29%	24 Jul →
mirage	13–9	0.03	25%	23 Jul →
dust2	13–9	0.05	32%	23 Jul →
mirage	13–8	0.04	42%	23 Jul →
mirage	13–7	0.05	20%	22 Jul →
dust2	9–13	0.06	22%	22 Jul →
nuke	13–7	0.02	21%	22 Jul →
anubis	13–10	-0.05	20%	21 Jul →
mirage	11–13	0.06	31%	16 Jul →
train	9–13	-0.03	19%	16 Jul →
inferno	4–13	-0.08	32%	16 Jul →
mirage	13–4	0.07	28%	15 Jul →
dust2	13–7	0.10	33%	15 Jul →
mirage	13–16	-0.01	17%	15 Jul →
dust2	13–6	0.02	17%	14 Jul →
mirage	9–13	-0.01	20%	13 Jul →
inferno	4–13	-0.02	43%	11 Jul →
anubis	1–10	-0.09	21%	11 Jul →
mirage	13–5	0.00	21%	10 Jul →
nuke	13–10	0.03	26%	9 Jul →
cache	4–13	-0.08	23%	9 Jul →
mirage	8–13	0.07	21%	9 Jul →
cache	13–8	0.05	35%	9 Jul →
mirage	4–13	-0.01	24%	8 Jul →
mirage	13–11	0.11	18%	8 Jul →
nuke	13–8	0.04	16%	8 Jul →
dust2	10–13	0.00	24%	7 Jul →
overpass	13–6	-0.00	22%	7 Jul →
mirage	13–10	0.06	21%	6 Jul →
inferno	9–13	0.04	21%	6 Jul →
anubis	11–13	0.10	35%	2 Jul →
inferno	12–12	-0.03	20%	28 Jun →
overpass	3–13	-0.02	19%	27 Jun →
dust2	13–7	0.01	24%	27 Jun →
ancient	13–16	0.03	28%	6 Jun →
mirage	13–7	0.10	26%	6 Jun →
cache	13–7	0.07	33%	2 Jun →
nuke	11–13	0.07	28%	2 Jun →
dust2	13–8	-0.01	21%	2 Jun →
mirage	13–8	0.07	28%	1 Jun →
inferno	4–13	0.07	40%	27 May →
dust2	9–13	0.00	19%	18 May →
inferno	13–2	0.09	27%	13 May →
mirage	13–3	0.05	28%	13 May →
cache	13–3	0.13	26%	13 May →
cache	12–0	0.01	17%	11 May →
cache	13–11	0.03	32%	1 May →
inferno	10–13	0.01	28%	26 Apr →
ancient	10–13	0.06	29%	26 Apr →
dust2	13–5	0.19	35%	26 Apr →
train	3–13	-0.01	33%	17 Apr →
overpass	7–13	0.06	29%	17 Apr →
inferno	13–7	0.02	43%	17 Apr →
mirage	7–13	-0.01	23%	8 Apr →
ancient	9–13	0.07	27%	8 Apr →
vertigo	7–13	0.10	29%	7 Apr →

Show all 100 matchesShow fewer

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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