FaLc0n — CS2 Stats

US76561198014949932[U:1:54684204]Steam profile ↗

3,380Tracked matches50%Win rate2020Tracked since

5,218Hours in CS28Hrs last 2 wks

CSDB Rating5.9 SolidSupport

Premier CS Rating25,803Top 25% of 819 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#1330 of 10881 tracked

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning48

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWLWWLWLLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim6.4

Aggression4.9

Utility7.0

Positioning4.8

Opening Duels2.5

Clutch4.4

Strong CT-side openerEffective flashes

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 89% playstyle similarity

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

Where you differ: 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

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 49% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim6.4

Positioning4.8

Utility7.0

Mechanics6.0

Opening Duels2.5

Win Impact5.0

Composite 5.9/10 (Solid), 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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time647ms+9ms

first ⅓ avg 637ms → last ⅓ avg 647ms

Headshot accuracy23.9%+1.8%

first ⅓ avg 22.1% → last ⅓ avg 23.9%

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 — ancient 13–10

13–2Biggest win — cache

7Longest win streak

7–11In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 80% over 5mirageWeakest map · 44% over 34

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	34	15–19	44%	0.00
dust2	B	24	12–12	50%	0.01
inferno	A	21	13–8	62%	0.01
cache	S	12	8–4	67%	-0.02
ancient	S	5	4–1	80%	0.06
anubis	—	2	1–1	50%	-0.02
nuke	—	1	0–1	0%	-0.08
overpass	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 34). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

228,086Lifetime kills

0.94K/D

7,886Matches

32.1%Match win rate

53.3%Headshot % · Top 25% of tracked players

15.2%Shot accuracy · Top 50% of tracked players

13,021MVPs

11,535Hours (in match)

5,859Bombs planted

2,170Bombs defused

Most-used weapons

AK-47102,293

M4A4 / M4A1-S42,550

Desert Eagle18,882

P2000 / USP-S14,603

AWP13,102

Glock-186,439

MAC-103,905

MP93,634

Knife3,216

Galil AR3,101

Lifetime map wins

16,464dust2

12,805inferno

4,009nuke

710vertigo

624train

140office

91lake

49ar_shoots

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

Faceit stats

Combat

1,992Matches

52%Win rate

1.14Avg K/D

80.8ADR

49%Headshot %

Clutches & streaks

42%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	325	53%	1.19	17.1
Mirage	319	52%	1.15	16.1
Dust2	230	55%	1.25	16.6
Ancient	164	51%	1.21	17.2
Anubis	112	51%	1.13	16.0
Overpass	76	57%	1.20	17.7
Nuke	24	50%	1.12	15.9
Train	23	48%	1.19	17.0

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.

23.4%Headshot accuracy

34.6%Accuracy (enemy spotted)

36.5%Spray accuracy

77.2%Counter-strafing

11.3°Preaim

644msReaction time

31.2%T opening success

48.7%CT opening success

0.81Enemies flashed / flash

6.4%Flash assists

11.92HE damage / grenade

10.65Flashes / 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 31.2033% — below the 40% mark we flag

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.

44% win rate across 34 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
cache	13–11	-0.05	24%	27 Aug →
inferno	4–13	-0.02	30%	27 Aug →
mirage	13–3	0.06	33%	25 Aug →
inferno	13–6	-0.03	24%	25 Aug →
mirage	8–13	-0.00	30%	23 Aug →
anubis	13–5	0.03	16%	23 Aug →
mirage	8–13	0.00	21%	23 Aug →
mirage	6–13	0.07	43%	22 Aug →
dust2	11–13	0.01	20%	22 Aug →
anubis	0–13	-0.07	18%	22 Aug →
inferno	10–13	-0.01	40%	22 Aug →
dust2	10–13	-0.04	9%	21 Aug →
cache	13–10	-0.02	19%	20 Aug →
dust2	11–13	0.07	32%	19 Aug →
mirage	13–10	-0.01	21%	19 Aug →
mirage	7–13	0.01	31%	18 Aug →
inferno	13–7	0.04	32%	18 Aug →
mirage	3–1	0.09	27%	18 Aug →
mirage	13–9	-0.02	31%	18 Aug →
cache	13–8	-0.00	20%	13 Aug →
inferno	13–10	0.02	25%	13 Aug →
dust2	13–11	-0.04	15%	12 Aug →
ancient	13–9	-0.02	24%	11 Aug →
mirage	12–16	-0.04	16%	8 Aug →
dust2	13–9	-0.02	9%	6 Aug →
cache	11–13	-0.05	28%	6 Aug →
mirage	11–13	0.07	18%	5 Aug →
cache	8–13	-0.05	21%	2 Aug →
mirage	0–13	-0.02	17%	30 Jul →
dust2	13–3	-0.05	10%	30 Jul →
inferno	13–11	0.02	27%	30 Jul →
cache	13–10	0.01	30%	29 Jul →
inferno	13–7	0.06	28%	29 Jul →
inferno	13–8	0.00	24%	28 Jul →
dust2	13–5	0.04	35%	28 Jul →
dust2	13–10	0.03	34%	28 Jul →
mirage	0–13	-0.03	0%	28 Jul →
inferno	0–13	-0.06	0%	27 Jul →
dust2	4–13	0.04	23%	27 Jul →
mirage	13–6	0.10	23%	27 Jul →
dust2	8–13	0.02	36%	27 Jul →
inferno	11–13	-0.03	18%	26 Jul →
dust2	7–13	-0.04	29%	26 Jul →
mirage	13–5	-0.02	26%	26 Jul →
mirage	11–13	-0.07	28%	25 Jul →
mirage	13–8	-0.04	16%	25 Jul →
mirage	13–8	-0.05	6%	25 Jul →
dust2	16–14	0.05	33%	24 Jul →
cache	13–9	-0.06	10%	24 Jul →
cache	8–13	-0.05	15%	22 Jul →
mirage	13–9	-0.00	19%	22 Jul →
dust2	7–13	0.05	29%	22 Jul →
mirage	6–13	-0.06	13%	21 Jul →
inferno	10–13	-0.07	11%	15 Jul →
cache	13–10	0.03	32%	15 Jul →
mirage	10–13	0.04	22%	13 Jul →
cache	13–9	-0.00	6%	11 Jul →
dust2	9–2	-0.01	33%	11 Jul →
mirage	9–13	0.04	25%	10 Jul →
mirage	13–7	0.05	21%	10 Jul →
dust2	13–5	0.02	42%	10 Jul →
inferno	13–5	0.07	24%	10 Jul →
inferno	13–7	-0.01	38%	9 Jul →
cache	13–2	0.02	41%	8 Jul →
ancient	13–6	0.13	35%	6 Jul →
inferno	9–13	0.06	26%	18 Jun →
mirage	10–13	-0.06	15%	17 Jun →
mirage	11–13	-0.03	22%	16 Jun →
nuke	2–13	-0.08	16%	16 Jun →
dust2	9–13	-0.08	21%	16 Jun →
mirage	13–10	0.05	15%	14 Jun →
inferno	10–13	0.02	32%	14 Jun →
dust2	4–13	-0.00	29%	13 Jun →
mirage	7–13	-0.02	22%	13 Jun →
inferno	13–3	0.12	34%	12 Jun →
mirage	13–7	0.03	24%	11 Jun →
ancient	13–10	0.18	20%	11 Jun →
mirage	13–11	0.06	19%	11 Jun →
dust2	10–13	0.04	27%	11 Jun →
inferno	13–8	0.01	17%	10 Jun →
cache	10–13	0.01	25%	9 Jun →
ancient	13–3	-0.01	17%	7 Jun →
ancient	11–13	0.04	32%	7 Jun →
dust2	13–11	0.05	13%	7 Jun →
dust2	8–13	0.00	24%	7 Jun →
dust2	13–9	0.11	25%	31 May →
mirage	13–8	-0.06	16%	31 May →
inferno	13–3	0.07	28%	31 May →
overpass	14–16	-0.01	14%	10 May →
mirage	5–13	-0.01	7%	9 May →
dust2	13–10	-0.00	26%	9 May →
mirage	11–13	0.01	18%	9 May →
inferno	13–5	0.02	48%	4 May →
dust2	8–13	-0.04	18%	17 Apr →
mirage	13–7	0.04	23%	17 Apr →
inferno	13–6	0.01	9%	17 Apr →
mirage	7–13	-0.02	15%	12 Apr →
dust2	13–4	-0.00	20%	12 Apr →
inferno	6–13	-0.04	33%	12 Apr →
mirage	11–13	-0.03	23%	12 Apr →