Byron_F — CS2 Stats

US76561198808771950[U:1:848506222]Steam profile ↗✓ No bans

1,076Tracked matches33%Win rate2023Tracked since

CSDB Rating2.8 Learning

FaceitLevel 4 · 922 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim29

Positioning33

Utility59

0–100 skill scores via Leetify.

Recent form

COLD51–40–9Last 10051%Win rateWLWLWLLTLT

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim2.9

Aggression1.1

Utility5.9

Positioning3.3

Opening Duels0.0

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: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 658ms 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

Aim2.9

Positioning3.3

Utility5.9

Mechanics4.5

Opening Duels0.0

Win Impact0.0

Composite 2.8/10 (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-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time657ms−5ms

first ⅓ avg 662ms → last ⅓ avg 657ms

Headshot accuracy12.4%−0.4%

first ⅓ avg 12.9% → last ⅓ avg 12.4%

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

0.14Best rating — inferno 13–4

13–0Biggest win — inferno

5Longest win streak

8–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 55% over 62mirageWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	62	34–28	55%	-0.01
dust2	B	19	10–9	53%	-0.02
mirage	D	7	2–5	29%	-0.07
ancient	—	4	2–2	50%	-0.01
nuke	—	3	1–2	33%	-0.05
office	—	2	1–1	50%	-0.00
anubis	—	2	1–1	50%	-0.02
stronghold	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

25Matches

48%Win rate

0.77Avg K/D

62.9ADR

34%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	7	71%	0.85	10.9
Vertigo	5	40%	0.78	9.6
Nuke	5	60%	0.78	12.4
Anubis	3	0%	0.54	10.7
Ancient	3	33%	0.83	15.3
Mirage	2	50%	0.67	13.5

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.

12.5%Headshot accuracy

32.5%Accuracy (enemy spotted)

33.4%Spray accuracy

70.3%Counter-strafing

13.9°Preaim

658msReaction time

22.5%T opening success

27.3%CT opening success

0.55Enemies flashed / flash

14.4%Flash assists

9.63HE damage / grenade

6.98Flashes / 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 13.9092° — 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 12.4687% — below the 15% mark we flag
Aim Training →

Spend your practice time on Mirage

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 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–0	-0.02	18%	28 Aug →
inferno	8–13	-0.04	8%	28 Aug →
dust2	13–10	-0.03	14%	28 Aug →
nuke	7–13	-0.10	6%	28 Aug →
dust2	13–3	0.01	21%	27 Aug →
mirage	7–13	-0.13	4%	26 Aug →
dust2	9–13	-0.12	8%	26 Aug →
dust2	15–15	-0.04	17%	26 Aug →
inferno	9–13	0.04	16%	26 Aug →
dust2	15–15	-0.03	14%	26 Aug →
dust2	13–16	-0.01	20%	26 Aug →
mirage	4–13	-0.08	13%	26 Aug →
mirage	8–13	-0.02	20%	26 Aug →
dust2	13–10	-0.06	8%	25 Aug →
dust2	10–13	-0.03	11%	24 Aug →
dust2	13–8	-0.01	11%	24 Aug →
ancient	4–13	-0.07	9%	24 Aug →
inferno	6–13	-0.04	14%	23 Aug →
dust2	13–11	-0.03	28%	23 Aug →
inferno	13–11	0.01	20%	18 Aug →
office	4–13	0.00	4%	5 May →
inferno	6–13	-0.05	6%	5 May →
inferno	13–2	0.09	9%	5 May →
inferno	5–13	-0.01	17%	5 May →
inferno	6–13	-0.03	10%	4 May →
inferno	11–13	-0.06	7%	4 May →
inferno	7–13	-0.01	13%	4 May →
ancient	15–15	-0.07	8%	4 May →
dust2	13–10	0.00	2%	19 Apr →
mirage	6–13	-0.07	17%	19 Apr →
mirage	13–9	-0.05	20%	18 Apr →
inferno	13–10	-0.03	9%	18 Apr →
dust2	13–5	-0.01	11%	18 Apr →
nuke	13–11	-0.04	16%	18 Apr →
inferno	13–11	-0.07	14%	15 Apr →
mirage	10–13	-0.07	14%	15 Apr →
dust2	9–13	0.07	11%	15 Apr →
inferno	13–8	-0.02	19%	9 Apr →
inferno	7–13	-0.07	7%	9 Apr →
ancient	13–8	0.05	12%	9 Apr →
nuke	4–13	-0.01	13%	9 Apr →
inferno	13–6	0.03	15%	9 Apr →
inferno	13–4	0.14	11%	8 Apr →
inferno	13–5	-0.05	13%	5 Apr →
dust2	11–13	-0.04	16%	5 Apr →
ancient	13–1	0.07	13%	4 Apr →
inferno	12–12	0.00	11%	4 Apr →
inferno	13–11	-0.01	10%	4 Apr →
inferno	5–1	0.06	19%	4 Apr →
inferno	13–9	0.01	10%	30 Mar →
inferno	10–13	-0.01	9%	30 Mar →
inferno	10–13	-0.04	10%	30 Mar →
inferno	13–4	-0.02	9%	28 Mar →
inferno	11–13	-0.05	13%	28 Mar →
mirage	13–11	-0.04	16%	27 Mar →
inferno	13–8	0.04	12%	27 Mar →
inferno	16–12	-0.08	17%	26 Mar →
inferno	13–11	-0.02	12%	26 Mar →
inferno	13–10	0.04	12%	24 Mar →
inferno	12–12	-0.04	9%	23 Mar →
office	13–6	-0.00	23%	13 Mar →
dust2	6–13	-0.01	11%	13 Mar →
inferno	13–9	0.07	14%	13 Mar →
inferno	13–11	-0.03	6%	7 Mar →
inferno	10–13	-0.05	8%	7 Mar →
inferno	13–7	-0.06	6%	7 Mar →
dust2	13–7	-0.01	10%	7 Mar →
anubis	2–13	-0.08	6%	7 Mar →
inferno	5–13	-0.07	14%	7 Mar →
inferno	13–4	0.03	5%	5 Mar →
inferno	13–8	-0.04	16%	4 Mar →
anubis	13–3	0.04	9%	4 Mar →
inferno	13–5	-0.01	14%	3 Mar →
inferno	7–13	-0.08	23%	3 Mar →
inferno	12–12	0.03	15%	1 Mar →
inferno	13–7	0.06	15%	28 Feb →
inferno	1–8	0.03	13%	28 Feb →
inferno	13–4	0.00	20%	25 Feb →
inferno	13–9	0.01	15%	24 Feb →
inferno	7–13	-0.06	13%	23 Feb →
inferno	6–13	-0.04	26%	23 Feb →
inferno	13–6	0.03	19%	22 Feb →
inferno	7–13	-0.01	15%	22 Feb →
dust2	6–13	-0.01	7%	22 Feb →
inferno	13–5	-0.02	20%	15 Feb →
inferno	13–2	0.01	13%	15 Feb →
stronghold	9–13	-0.07	12%	15 Feb →
dust2	13–6	-0.06	9%	15 Feb →
dust2	13–5	-0.04	16%	14 Feb →
inferno	12–12	-0.00	12%	14 Feb →
inferno	13–7	0.05	8%	14 Feb →
inferno	13–6	0.03	5%	12 Feb →
inferno	8–13	-0.05	20%	12 Feb →
inferno	13–8	-0.01	10%	12 Feb →
inferno	11–13	-0.02	8%	12 Feb →
inferno	12–12	-0.02	15%	11 Feb →
inferno	13–6	0.01	10%	11 Feb →
inferno	8–8	-0.11	4%	11 Feb →
inferno	13–9	-0.01	7%	11 Feb →
inferno	11–13	-0.01	14%	11 Feb →