Francis York Morgan — CS2 Stats

76561198084854424[U:1:124588696]✓ No bans

1,012Tracked matches52%Win rate2021Tracked since

CSDB Rating2.6 Learning

Premier CS Rating3,205Grey band · top ~86.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim14

Positioning39

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLWWWWWLTWL

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

Aim1.4

Aggression2.9

Utility4.5

Positioning3.9

Opening Duels0.4

Clutch0.0

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 NiKo 69% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 40% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 725ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.4

Positioning3.9

Utility4.5

Mechanics2.4

Opening Duels1.3

Win Impact5.6

Composite 2.6/10 (Learning), 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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time693ms−4ms

first ⅓ avg 697ms → last ⅓ avg 693ms

Headshot accuracy14.2%+0.8%

first ⅓ avg 13.4% → last ⅓ avg 14.2%

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

0.13Best rating — anubis 13–4

13–0Biggest win — mirage

5Longest win streak

9–4In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 75% over 12dust2Weakest map · 27% over 30

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	32	17–15	53%	-0.02
dust2	D	30	8–22	27%	-0.01
cache	S	12	9–3	75%	0.02
ancient	A	10	6–4	60%	0.01
nuke	A	10	6–4	60%	0.02
train	—	3	2–1	67%	-0.05
anubis	—	3	2–1	67%	0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches

40%Win rate

0.65Avg K/D

66.1ADR

48%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	100%	0.84	14.5
Inferno	1	0%	0.60	9.0
Train	1	0%	0.53	9.0
Mirage	1	0%	0.44	7.0

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.

13.8%Headshot accuracy

31.5%Accuracy (enemy spotted)

34.0%Spray accuracy

60.7%Counter-strafing

16.2°Preaim

725msReaction time

23.5%T opening success

40.1%CT opening success

0.46Enemies flashed / flash

4.4%Flash assists

11.39HE damage / grenade

6.02Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 16.2248° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.807% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 724.8793ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Dust 2

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

27% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	1–9	-0.05	29%	29 Aug →
mirage	16–14	-0.01	5%	29 Aug →
ancient	13–6	0.03	11%	29 Aug →
nuke	13–10	0.09	18%	29 Aug →
nuke	13–3	0.10	14%	28 Aug →
ancient	13–9	-0.01	16%	28 Aug →
mirage	2–13	-0.09	33%	27 Aug →
mirage	15–15	0.01	11%	26 Aug →
cache	13–7	0.02	19%	26 Aug →
dust2	10–13	0.02	12%	26 Aug →
cache	13–3	0.07	3%	25 Aug →
dust2	12–12	0.01	8%	25 Aug →
cache	3–13	-0.02	4%	25 Aug →
mirage	6–13	-0.05	14%	24 Aug →
dust2	10–13	-0.09	17%	24 Aug →
mirage	12–12	-0.04	11%	24 Aug →
mirage	13–16	-0.04	11%	24 Aug →
dust2	7–13	0.02	23%	24 Aug →
ancient	3–13	-0.06	0%	23 Aug →
mirage	2–0	0.00	0%	23 Aug →
dust2	11–13	0.01	11%	23 Aug →
mirage	13–0	-0.06	14%	23 Aug →
dust2	5–13	-0.05	17%	23 Aug →
mirage	13–3	0.00	17%	23 Aug →
nuke	13–8	-0.02	18%	23 Aug →
mirage	1–6	-0.03	11%	23 Aug →
dust2	13–10	-0.04	18%	23 Aug →
dust2	14–16	-0.09	21%	22 Aug →
mirage	13–3	-0.08	17%	22 Aug →
nuke	13–2	0.01	10%	21 Aug →
mirage	13–4	-0.02	13%	21 Aug →
ancient	10–13	-0.01	19%	21 Aug →
dust2	6–13	0.02	27%	21 Aug →
mirage	13–4	-0.04	14%	21 Aug →
cache	13–10	0.04	10%	21 Aug →
mirage	13–11	-0.03	12%	20 Aug →
ancient	13–11	0.09	15%	20 Aug →
dust2	10–13	0.04	5%	20 Aug →
mirage	13–4	0.08	14%	19 Aug →
dust2	13–4	0.04	12%	19 Aug →
dust2	3–13	0.01	20%	19 Aug →
mirage	2–13	-0.02	15%	19 Aug →
dust2	13–11	0.02	20%	19 Aug →
dust2	9–13	-0.01	17%	18 Aug →
dust2	13–8	-0.01	11%	18 Aug →
dust2	3–13	-0.06	29%	18 Aug →
dust2	4–13	-0.06	23%	18 Aug →
train	13–10	-0.05	16%	18 Aug →
dust2	13–16	-0.03	14%	17 Aug →
ancient	7–13	0.01	17%	17 Aug →
mirage	13–2	0.00	12%	17 Aug →
mirage	3–13	-0.03	19%	17 Aug →
mirage	4–13	-0.02	7%	17 Aug →
nuke	9–13	0.00	12%	17 Aug →
ancient	8–13	-0.03	13%	17 Aug →
dust2	13–11	-0.02	11%	16 Aug →
anubis	13–4	0.13	19%	16 Aug →
dust2	13–11	0.09	12%	16 Aug →
ancient	13–11	0.07	12%	16 Aug →
dust2	13–16	-0.00	9%	16 Aug →
dust2	9–13	-0.02	7%	16 Aug →
mirage	13–2	0.08	12%	16 Aug →
dust2	9–13	-0.02	13%	15 Aug →
cache	16–12	0.08	12%	15 Aug →
mirage	8–13	-0.01	16%	15 Aug →
anubis	10–13	0.02	26%	15 Aug →
ancient	13–2	0.01	12%	15 Aug →
mirage	5–13	0.01	11%	14 Aug →
train	13–10	-0.03	12%	14 Aug →
train	12–12	-0.07	7%	14 Aug →
anubis	13–2	0.08	10%	14 Aug →
nuke	13–9	0.06	10%	14 Aug →
mirage	13–10	0.02	13%	13 Aug →
dust2	13–8	0.00	13%	13 Aug →
mirage	13–11	0.05	13%	13 Aug →
dust2	4–13	-0.02	11%	12 Aug →
dust2	15–15	0.04	13%	12 Aug →
ancient	13–10	-0.01	20%	12 Aug →
cache	13–6	-0.01	17%	12 Aug →
nuke	9–13	0.04	12%	12 Aug →
cache	13–3	0.08	19%	11 Aug →
mirage	3–13	-0.03	19%	11 Aug →
mirage	3–13	-0.06	6%	11 Aug →
mirage	13–7	0.01	10%	10 Aug →
mirage	7–13	0.03	12%	10 Aug →
cache	13–2	-0.01	6%	10 Aug →
cache	13–8	0.05	12%	10 Aug →
nuke	13–7	-0.01	19%	10 Aug →
cache	6–13	-0.11	12%	9 Aug →
nuke	10–13	-0.06	26%	9 Aug →
dust2	11–6	0.03	23%	9 Aug →
mirage	13–2	-0.02	20%	9 Aug →
cache	11–13	-0.03	8%	9 Aug →
mirage	13–4	0.00	15%	9 Aug →
dust2	14–16	-0.06	15%	9 Aug →
mirage	13–9	-0.04	9%	9 Aug →
cache	13–7	0.03	16%	9 Aug →
nuke	5–13	-0.02	8%	8 Aug →
mirage	3–13	-0.09	9%	8 Aug →
dust2	13–16	0.02	15%	8 Aug →