morrisg — CS2 Stats

FJ76561197997199939[U:1:36934211]Steam profile ↗✓ No bans

2,042Tracked matches40%Win rate2020Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Premier CS Rating18,311Purple band · top ~15.2% of ranked players (population est.)

CSDB Leaderboard#18540 of 38255 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Share this profile

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

Aim63

Positioning59

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWLWLLWWWWL

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression10.0

Utility3.7

Positioning5.9

Opening Duels5.0

Clutch3.2

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.

Your pro match

Plays most like sh1ro 84% playstyle similarity

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

Where you differ: lower utility contribution; 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. 670ms 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

Aim6.3

Positioning5.9

Utility3.7

Mechanics7.3

Opening Duels5.0

Win Impact1.7

Composite 5.4/10 (Developing), 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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time670ms−21ms

first ⅓ avg 691ms → last ⅓ avg 670ms

Headshot accuracy21.4%+0.4%

first ⅓ avg 20.9% → last ⅓ avg 21.4%

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.

Highlights

0.16Best rating — nuke 13–2

13–1Biggest win — inferno

5Longest win streak

9–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 73% over 11infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	30	13–17	43%	-0.01
dust2	C	26	10–16	38%	-0.01
inferno	D	13	4–9	31%	0.00
anubis	A	11	6–5	55%	0.01
nuke	S	11	8–3	73%	-0.00
train	—	2	1–1	50%	0.02
mirage	—	2	0–2	0%	-0.07
debris	—	1	0–1	0%	0.00
ancient	—	1	0–1	0%	0.02
fachwerk	—	1	0–1	0%	-0.10
vertigo	—	1	0–1	0%	-0.02
overpass	—	1	1–0	100%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

278Matches

54%Win rate

1.12Avg K/D

84.2ADR

45%Headshot %

Clutches & streaks

36%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	50	58%	1.16	18.2
Inferno	32	38%	1.01	16.9
Ancient	23	52%	1.19	18.4
Anubis	19	68%	1.08	16.9
Nuke	18	67%	1.26	18.8
Train	13	38%	1.12	18.9
Overpass	6	17%	0.92	17.2
Mirage	5	20%	0.82	15.8

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.

22.2%Headshot accuracy

31.2%Accuracy (enemy spotted)

33.9%Spray accuracy

83.0%Counter-strafing

9.5°Preaim

670msReaction time

43.8%T opening success

56.2%CT opening success

0.48Enemies flashed / flash

3.9%Flash assists

9.98HE damage / grenade

3.24Flashes / 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.

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 0.4834 — below the 0.5 mark we flag
Grenade Lineups →

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.

31% win rate across 13 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
cache	13–11	-0.01	23%	28 Aug →
inferno	12–16	-0.07	22%	28 Aug →
anubis	13–4	-0.00	19%	28 Aug →
cache	11–13	-0.02	28%	27 Aug →
dust2	11–13	0.07	34%	27 Aug →
nuke	13–2	0.16	30%	27 Aug →
dust2	13–8	0.05	30%	27 Aug →
nuke	13–10	0.04	25%	26 Aug →
dust2	13–3	0.03	27%	26 Aug →
dust2	6–13	-0.07	0%	24 Aug →
cache	8–13	0.04	30%	22 Aug →
dust2	10–13	-0.00	33%	22 Aug →
dust2	4–13	-0.01	8%	20 Aug →
cache	6–13	-0.04	16%	20 Aug →
train	8–13	-0.00	16%	20 Aug →
dust2	10–13	0.01	14%	20 Aug →
anubis	4–13	-0.03	27%	19 Aug →
cache	13–6	-0.07	23%	19 Aug →
nuke	4–13	-0.10	25%	11 Aug →
cache	14–16	0.04	14%	4 Aug →
nuke	13–7	0.07	6%	4 Aug →
anubis	1–13	-0.06	32%	2 Aug →
cache	16–13	0.04	27%	2 Aug →
nuke	13–8	-0.01	27%	2 Aug →
inferno	13–8	0.01	24%	2 Aug →
dust2	4–13	-0.02	25%	1 Aug →
inferno	9–13	0.02	25%	1 Aug →
nuke	16–14	-0.00	15%	1 Aug →
dust2	9–13	-0.02	20%	1 Aug →
cache	7–13	-0.05	26%	1 Aug →
cache	7–13	-0.09	11%	1 Aug →
inferno	8–13	-0.06	12%	1 Aug →
dust2	3–13	-0.12	13%	31 Jul →
cache	13–6	-0.01	33%	31 Jul →
dust2	13–3	0.05	17%	31 Jul →
anubis	13–11	0.05	14%	29 Jul →
inferno	14–16	0.00	22%	29 Jul →
anubis	13–3	0.15	24%	29 Jul →
dust2	5–13	-0.03	26%	29 Jul →
nuke	5–7	-0.07	26%	27 Jul →
inferno	5–13	-0.03	10%	27 Jul →
nuke	13–4	0.00	14%	26 Jul →
inferno	13–8	0.06	12%	26 Jul →
nuke	13–11	-0.04	32%	26 Jul →
nuke	13–9	-0.07	28%	26 Jul →
anubis	13–9	0.00	13%	26 Jul →
dust2	15–15	0.02	20%	23 Jul →
anubis	8–13	-0.03	10%	22 Jul →
cache	13–7	0.01	19%	22 Jul →
dust2	13–10	0.06	17%	22 Jul →
inferno	7–13	0.05	25%	22 Jul →
cache	6–13	-0.09	12%	16 Jul →
cache	13–3	-0.04	12%	16 Jul →
inferno	4–13	-0.00	34%	16 Jul →
dust2	13–9	-0.05	13%	16 Jul →
cache	13–11	0.03	30%	16 Jul →
debris	4–9	0.00	20%	16 Jul →
dust2	8–13	-0.06	21%	15 Jul →
mirage	6–13	-0.08	25%	15 Jul →
dust2	2–13	-0.11	20%	15 Jul →
cache	13–7	0.03	36%	15 Jul →
mirage	3–13	-0.05	35%	13 Jul →
anubis	13–6	0.00	25%	13 Jul →
cache	13–11	0.03	36%	13 Jul →
ancient	12–16	0.02	19%	13 Jul →
dust2	13–7	-0.07	5%	13 Jul →
inferno	13–1	0.05	37%	13 Jul →
dust2	13–9	-0.00	22%	13 Jul →
fachwerk	3–13	-0.10	22%	12 Jul →
dust2	7–13	-0.08	14%	12 Jul →
cache	11–13	-0.02	21%	12 Jul →
dust2	3–13	0.03	27%	9 Jul →
cache	13–2	0.13	24%	9 Jul →
cache	4–13	-0.02	29%	7 Jul →
vertigo	8–8	-0.02	21%	7 Jul →
cache	13–10	0.10	21%	7 Jul →
dust2	10–13	-0.01	27%	22 Jun →
anubis	13–7	0.11	25%	22 Jun →
anubis	4–13	0.02	18%	21 Jun →
inferno	13–2	0.06	30%	21 Jun →
dust2	13–7	-0.02	20%	21 Jun →
nuke	11–13	-0.01	17%	21 Jun →
inferno	9–13	-0.03	28%	21 Jun →
dust2	13–11	0.04	21%	3 Jun →
train	13–10	0.04	12%	20 May →
cache	3–13	-0.03	11%	19 May →
cache	10–13	-0.03	31%	17 May →
anubis	10–13	-0.05	17%	17 May →
cache	13–9	-0.06	18%	12 May →
cache	3–13	-0.01	14%	12 May →
inferno	9–13	-0.00	23%	12 May →
cache	6–13	-0.10	14%	11 May →
cache	13–8	-0.08	16%	11 May →
cache	6–13	-0.02	27%	11 May →
overpass	13–11	-0.07	6%	11 May →
dust2	13–11	-0.01	27%	11 May →
cache	11–13	-0.01	17%	10 May →
cache	6–13	-0.04	19%	7 May →
dust2	10–13	-0.01	29%	5 May →
cache	12–12	0.06	23%	4 May →