youtube.com/@AFiraal — CS2 Stats

BR76561198219323547[U:1:259057819]Steam profile ↗✓ No bans

1,565Tracked matches63%Win rate2020Tracked since

6,163Hours in CS

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating27,040Top 25% of 819 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)

CSDB Leaderboard#1027 of 21641 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning66

Utility68

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateWWWWLWLWWL

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

Player DNA

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

Aim7.4

Aggression7.0

Utility6.8

Positioning6.6

Opening Duels3.7

Clutch3.8

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 iM 93% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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. 553ms 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

Aim7.4

Positioning6.6

Utility6.8

Mechanics6.0

Opening Duels3.7

Win Impact9.4

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time556ms−48ms

first ⅓ avg 604ms → last ⅓ avg 556ms

Headshot accuracy15.7%−0.7%

first ⅓ avg 16.4% → last ⅓ avg 15.7%

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 — cache 13–8

13–2Biggest win — mirage

5Longest win streak

W4Current streak

9–13In matches decided by ≤2 rounds

20Overtime games

Map breakdown

infernoBest map · 64% over 14ancientWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	9–12	43%	-0.00
mirage	A	18	11–7	61%	0.01
ancient	C	15	6–9	40%	0.03
anubis	B	15	7–8	47%	0.01
inferno	A	14	9–5	64%	0.02
cache	B	13	6–7	46%	0.02
nuke	—	3	2–1	67%	0.02
overpass	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

354,582Lifetime kills

0.80K/D

12,516Matches

37.0%Match win rate

44.1%Headshot %

11.3%Shot accuracy

20,054MVPs

6,163Hours (in match)

14,073Bombs planted

3,000Bombs defused

Most-used weapons

AK-47201,965

M4A4 / M4A1-S65,819

P2000 / USP-S15,803

AWP9,224

Glock-188,292

MP96,323

Galil AR5,554

MAC-105,295

FAMAS4,791

UMP-454,135

Lifetime map wins

13,237dust2

10,583inferno

5,324vertigo

2,601nuke

2,443train

398cbble

153ar_shoots

123ar_baggage

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

Faceit stats

Combat

520Matches

51%Win rate

1.24Avg K/D

80.7ADR

43%Headshot %

Clutches & streaks

39%1v1 clutch win

26%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	104	53%	1.11	15.5
Dust2	68	44%	1.07	15.0
Anubis	56	50%	1.20	16.2
Ancient	41	59%	1.20	17.5
Inferno	37	49%	1.14	16.4
Nuke	13	46%	1.04	19.4
Vertigo	6	67%	1.16	16.2
Cache	5	20%	0.96	14.4

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.

15.2%Headshot accuracy

36.9%Accuracy (enemy spotted)

42.9%Spray accuracy

77.0%Counter-strafing

9.9°Preaim

553msReaction time

41.3%T opening success

48.6%CT opening success

0.61Enemies flashed / flash

7.0%Flash assists

11.03HE damage / grenade

13.75Flashes / match

Recommended for you

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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–6	0.03	17%	29 Aug →
anubis	13–11	-0.02	8%	27 Aug →
dust2	13–10	-0.00	18%	26 Aug →
inferno	16–12	0.02	17%	26 Aug →
ancient	4–13	-0.01	17%	26 Aug →
inferno	13–3	0.06	15%	26 Aug →
anubis	2–5	-0.02	18%	26 Aug →
mirage	16–13	-0.01	15%	26 Aug →
dust2	13–11	0.09	19%	25 Aug →
ancient	3–13	-0.02	21%	25 Aug →
mirage	16–13	0.01	16%	25 Aug →
cache	13–4	0.05	10%	24 Aug →
ancient	11–13	-0.04	19%	24 Aug →
inferno	9–13	0.04	9%	23 Aug →
cache	13–16	-0.05	20%	23 Aug →
mirage	16–12	-0.02	7%	23 Aug →
nuke	13–8	0.02	12%	22 Aug →
anubis	10–13	0.01	15%	22 Aug →
anubis	13–11	0.00	10%	22 Aug →
ancient	13–9	0.00	16%	22 Aug →
mirage	13–10	0.00	17%	22 Aug →
dust2	4–13	-0.10	27%	22 Aug →
ancient	13–9	0.07	16%	22 Aug →
ancient	10–13	0.10	28%	21 Aug →
cache	12–16	-0.01	12%	21 Aug →
mirage	16–12	0.08	14%	21 Aug →
inferno	6–13	0.03	10%	21 Aug →
inferno	13–8	0.05	10%	20 Aug →
mirage	13–8	0.03	12%	20 Aug →
overpass	13–8	0.03	15%	20 Aug →
dust2	11–13	-0.02	14%	19 Aug →
mirage	13–4	0.09	26%	19 Aug →
dust2	19–15	0.04	18%	19 Aug →
anubis	6–13	-0.05	16%	19 Aug →
inferno	13–8	-0.06	14%	18 Aug →
dust2	9–13	-0.01	14%	18 Aug →
ancient	9–13	0.01	17%	18 Aug →
inferno	16–14	-0.01	9%	18 Aug →
anubis	13–11	-0.03	14%	17 Aug →
dust2	11–13	-0.04	26%	16 Aug →
ancient	6–13	-0.03	11%	16 Aug →
inferno	7–13	-0.04	17%	16 Aug →
cache	9–13	-0.05	27%	16 Aug →
anubis	13–10	0.09	16%	15 Aug →
anubis	12–8	0.01	16%	15 Aug →
cache	13–16	-0.00	25%	15 Aug →
mirage	11–13	-0.01	16%	14 Aug →
dust2	16–13	0.02	18%	14 Aug →
ancient	8–13	-0.01	11%	14 Aug →
ancient	13–5	0.13	20%	14 Aug →
cache	16–13	0.05	20%	14 Aug →
ancient	13–9	0.06	14%	13 Aug →
nuke	4–13	0.01	21%	13 Aug →
cache	11–13	0.01	22%	13 Aug →
dust2	16–13	0.06	15%	12 Aug →
anubis	6–13	0.04	14%	12 Aug →
cache	11–13	0.01	23%	12 Aug →
anubis	13–4	-0.02	16%	12 Aug →
inferno	13–6	0.07	27%	12 Aug →
inferno	13–5	-0.00	25%	11 Aug →
dust2	13–11	-0.01	13%	11 Aug →
cache	19–17	0.04	11%	11 Aug →
dust2	5–13	-0.03	17%	11 Aug →
cache	13–8	0.16	16%	11 Aug →
cache	14–16	-0.04	22%	10 Aug →
dust2	14–16	-0.04	23%	10 Aug →
inferno	13–7	0.07	12%	10 Aug →
mirage	10–13	0.03	20%	10 Aug →
ancient	13–16	0.01	19%	9 Aug →
anubis	13–16	0.04	7%	9 Aug →
mirage	13–2	0.02	21%	9 Aug →
cache	16–13	0.04	20%	8 Aug →
dust2	13–6	0.00	19%	8 Aug →
mirage	13–8	-0.02	12%	7 Aug →
dust2	7–13	0.01	13%	7 Aug →
mirage	6–13	-0.00	21%	6 Aug →
ancient	13–8	0.02	11%	6 Aug →
dust2	5–13	0.00	24%	24 Jul →
cache	13–8	0.00	15%	24 Jul →
mirage	9–13	-0.03	13%	24 Jul →
dust2	11–13	-0.03	13%	24 Jul →
inferno	7–13	0.00	13%	23 Jul →
inferno	9–13	0.03	17%	23 Jul →
mirage	13–11	-0.01	25%	23 Jul →
anubis	3–13	0.04	9%	23 Jul →
anubis	11–13	0.06	10%	23 Jul →
mirage	13–9	0.01	15%	22 Jul →
ancient	11–13	0.05	14%	22 Jul →
dust2	13–3	0.01	20%	22 Jul →
nuke	13–7	0.02	16%	21 Jul →
dust2	13–8	0.04	19%	21 Jul →
dust2	15–15	0.00	16%	20 Jul →
dust2	11–13	-0.03	16%	20 Jul →
inferno	13–11	0.02	18%	19 Jul →
mirage	8–13	-0.00	25%	18 Jul →
mirage	10–13	0.05	21%	18 Jul →
anubis	11–13	0.00	15%	17 Jul →
anubis	13–5	0.00	17%	17 Jul →
mirage	4–13	0.04	21%	17 Jul →
dust2	7–13	-0.02	11%	17 Jul →