ffalcon — CS2 Stats

AU76561198140459693[U:1:180193965]Steam profile ↗✓ No bans

2,940Tracked matches48%Win rate2020Tracked since

3,053Hours in CS21Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim80

Positioning51

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateWLLWLWWWLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim8.0

Aggression5.2

Utility6.6

Positioning5.1

Opening Duels1.8

Clutch3.6

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 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim8.0

Positioning5.1

Utility6.6

Mechanics6.5

Opening Duels1.8

Win Impact4.4

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time551ms+2ms

first ⅓ avg 550ms → last ⅓ avg 551ms

Headshot accuracy24.2%+4.3%

first ⅓ avg 19.8% → last ⅓ avg 24.2%

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

0.18Best rating — dust2 13–3

13–2Biggest win — anubis

4Longest win streak

8–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 60% over 5dust2Weakest map · 32% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	19	6–13	32%	0.01
mirage	B	15	7–8	47%	0.03
ancient	B	15	7–8	47%	-0.00
cache	C	14	6–8	43%	-0.00
anubis	A	14	8–6	57%	0.00
nuke	C	12	5–7	42%	-0.02
inferno	A	5	3–2	60%	-0.01
train	—	3	2–1	67%	-0.00
vertigo	—	2	1–1	50%	-0.01
office	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,794Lifetime kills

1.39K/D · Top 10% of tracked players

4,006Matches

44.7%Match win rate

64.6%Headshot % · Top 5% of tracked players

4.6%Shot accuracy

9,250MVPs

2,306Hours (in match)

2,955Bombs planted

1,938Bombs defused

Most-used weapons

AK-4771,041

M4A4 / M4A1-S14,857

AWP4,777

Desert Eagle4,769

P2000 / USP-S3,900

Glock-183,205

MP93,063

Galil AR2,982

MAC-102,306

Tec-91,646

Lifetime map wins

6,508dust2

5,151inferno

3,577nuke

2,840vertigo

1,258train

430office

173lake

14italy

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

Faceit stats

Combat

845Matches

49%Win rate

0.97Avg K/D

69.8ADR

47%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	186	53%	1.03	14.2
Mirage	177	42%	0.93	13.1
Anubis	161	58%	0.99	13.6
Nuke	81	56%	1.01	13.3
Dust2	65	58%	0.97	13.8
Inferno	60	42%	0.97	13.0
Train	28	54%	1.08	13.5
Vertigo	18	44%	1.09	12.3

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.

24.0%Headshot accuracy

34.9%Accuracy (enemy spotted)

38.6%Spray accuracy

79.3%Counter-strafing

9.8°Preaim

553msReaction time

32.1%T opening success

42.0%CT opening success

0.58Enemies flashed / flash

7.2%Flash assists

9.87HE damage / grenade

19.40Flashes / 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
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 32.1294% — below the 40% mark we flag

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.

32% win rate across 19 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
cache	13–3	0.03	26%	27 Aug →
office	2–13	0.01	35%	27 Aug →
anubis	8–13	-0.02	24%	27 Aug →
mirage	13–4	0.01	25%	27 Aug →
ancient	9–13	0.04	21%	27 Aug →
cache	13–9	0.04	20%	27 Aug →
dust2	13–11	-0.01	23%	27 Aug →
nuke	13–6	0.00	23%	25 Aug →
mirage	7–13	-0.06	15%	25 Aug →
dust2	20–22	-0.02	20%	25 Aug →
mirage	13–5	0.07	26%	24 Aug →
dust2	10–13	0.04	30%	24 Aug →
mirage	8–13	0.09	29%	24 Aug →
dust2	13–7	-0.06	24%	19 Aug →
nuke	13–6	0.01	16%	17 Aug →
ancient	13–9	0.03	27%	17 Aug →
dust2	6–13	0.03	58%	17 Aug →
mirage	12–12	-0.04	12%	16 Aug →
dust2	5–13	-0.07	20%	16 Aug →
dust2	13–7	0.12	24%	16 Aug →
cache	13–11	0.04	20%	16 Aug →
nuke	11–13	0.04	20%	16 Aug →
mirage	12–12	0.04	26%	14 Aug →
dust2	9–13	0.00	35%	14 Aug →
nuke	8–5	0.03	28%	14 Aug →
train	10–13	-0.02	14%	14 Aug →
dust2	12–12	0.03	33%	12 Aug →
anubis	5–13	-0.08	24%	12 Aug →
anubis	13–3	-0.05	11%	12 Aug →
nuke	10–13	-0.02	21%	10 Aug →
anubis	13–10	0.05	27%	10 Aug →
ancient	13–5	0.03	18%	10 Aug →
dust2	11–13	-0.01	24%	9 Aug →
dust2	11–13	-0.03	25%	8 Aug →
mirage	7–13	0.01	27%	8 Aug →
ancient	13–8	0.03	23%	8 Aug →
ancient	8–13	-0.06	17%	8 Aug →
nuke	6–13	-0.07	26%	8 Aug →
ancient	2–13	-0.02	23%	8 Aug →
ancient	8–13	-0.05	20%	5 Aug →
mirage	13–6	0.04	39%	5 Aug →
cache	13–11	0.05	27%	3 Aug →
mirage	13–11	0.02	26%	2 Aug →
inferno	13–9	-0.02	16%	2 Aug →
dust2	10–13	0.06	28%	31 Jul →
nuke	13–9	0.06	22%	31 Jul →
ancient	7–13	-0.04	22%	29 Jul →
ancient	13–9	-0.01	19%	29 Jul →
dust2	10–13	-0.05	24%	29 Jul →
anubis	13–2	0.09	24%	29 Jul →
nuke	9–13	-0.06	16%	29 Jul →
cache	7–13	-0.02	16%	29 Jul →
mirage	3–13	-0.02	20%	29 Jul →
mirage	10–13	-0.04	30%	27 Jul →
inferno	13–5	-0.02	23%	27 Jul →
cache	9–13	-0.02	26%	20 Jul →
train	13–8	-0.02	0%	20 Jul →
vertigo	12–12	-0.07	27%	20 Jul →
inferno	5–13	-0.04	24%	20 Jul →
nuke	13–10	-0.07	18%	20 Jul →
anubis	13–7	0.01	26%	20 Jul →
mirage	13–3	0.09	18%	20 Jul →
inferno	13–4	0.04	14%	19 Jul →
cache	8–13	-0.06	21%	19 Jul →
cache	16–14	-0.03	20%	19 Jul →
dust2	9–13	0.01	26%	19 Jul →
cache	10–13	-0.07	22%	19 Jul →
anubis	13–9	0.02	28%	18 Jul →
mirage	13–3	0.14	25%	18 Jul →
anubis	16–12	-0.01	11%	17 Jul →
anubis	8–13	0.04	16%	17 Jul →
ancient	13–6	0.03	22%	17 Jul →
cache	11–13	-0.01	19%	17 Jul →
dust2	13–11	-0.05	32%	16 Jul →
cache	15–15	-0.01	19%	16 Jul →
ancient	2–13	-0.04	19%	16 Jul →
nuke	9–13	-0.02	26%	16 Jul →
ancient	13–8	-0.00	7%	15 Jul →
nuke	4–13	-0.05	15%	15 Jul →
mirage	13–16	-0.03	28%	15 Jul →
anubis	13–2	0.04	14%	15 Jul →
ancient	13–5	-0.02	25%	13 Jul →
dust2	6–13	0.03	19%	11 Jul →
nuke	8–13	-0.04	17%	11 Jul →
cache	13–7	0.03	13%	11 Jul →
ancient	9–13	-0.00	19%	11 Jul →
anubis	13–16	-0.01	20%	11 Jul →
train	13–11	0.03	25%	11 Jul →
dust2	13–3	0.18	23%	11 Jul →
ancient	10–13	0.06	28%	11 Jul →
cache	12–12	0.05	22%	10 Jul →
dust2	13–5	0.01	22%	10 Jul →
mirage	10–1	0.10	0%	10 Jul →
anubis	12–16	-0.04	13%	10 Jul →
anubis	9–13	-0.01	15%	10 Jul →
anubis	16–14	0.01	14%	9 Jul →
vertigo	13–5	0.05	24%	8 Jul →
cache	12–12	-0.03	28%	8 Jul →
dust2	4–13	-0.01	23%	8 Jul →
inferno	10–13	-0.01	24%	6 Jul →