falc0n — CS2 Stats

76561198131260683[U:1:170994955]Steam profile ↗

2,504Tracked matches50%Win rate2020Tracked since

4,044Hours in CS15Hrs last 2 wks

CSDB Rating5.5 Solid

Premier CS Rating18,805Purple band · top ~13.3% of ranked players (population est.)

CSDB Leaderboard#8318 of 16333 tracked

FaceitLevel 4 · 1,044 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning66

Utility68

0–100 skill scores via Leetify.

Recent form

COLD51–44–5Last 10051%Win rateLWWTLLLWLL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim5.8

Aggression10.0

Utility6.8

Positioning6.6

Opening Duels5.0

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 sh1ro 90% 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

Areas to improve

Reaction time. 558ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim5.8

Positioning6.6

Utility6.8

Mechanics3.0

Opening Duels5.0

Win Impact5.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time563ms−103ms

first ⅓ avg 666ms → last ⅓ avg 563ms

Headshot accuracy16.0%+0.2%

first ⅓ avg 15.8% → last ⅓ avg 16.0%

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

0.19Best rating — dust2 13–0

13–0Biggest win — dust2

5Longest win streak

9–4In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 67% over 9nukeWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	10–17	37%	-0.01
inferno	B	21	10–11	48%	0.01
dust2	A	20	12–8	60%	0.02
ancient	S	9	6–3	67%	0.02
cache	S	9	6–3	67%	-0.01
nuke	D	8	1–7	13%	0.01
anubis	—	4	4–0	100%	0.03
overpass	—	2	2–0	100%	0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

165,254Lifetime kills

1.20K/D · Top 25% of tracked players

12,527Matches

64.8%Match win rate · Top 5% of tracked players

38.2%Headshot %

17.3%Shot accuracy · Top 25% of tracked players

19,310MVPs

2,516Hours (in match)

5,854Bombs planted

1,965Bombs defused

Most-used weapons

AK-4735,506

AWP35,231

M4A4 / M4A1-S14,956

Desert Eagle10,331

P2000 / USP-S8,123

Glock-186,357

MAC-104,546

Knife4,023

SSG 083,732

MP93,730

Lifetime map wins

12,160dust2

9,192inferno

4,110nuke

2,422train

1,979vertigo

1,473office

973lake

620bank

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

Faceit stats

Combat

595Matches

51%Win rate

1.01Avg K/D

89.1ADR

34%Headshot %

Clutches & streaks

38%1v1 clutch win

17%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	44%	1.14	21.3
Dust2	8	38%	0.88	12.5
Anubis	7	57%	1.43	18.9
Inferno	7	71%	1.14	15.4
Nuke	3	33%	1.00	15.7
Ancient	3	67%	1.56	26.0
Vertigo	3	33%	2.00	17.3
Overpass	2	0%	1.01	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.

15.8%Headshot accuracy

35.8%Accuracy (enemy spotted)

35.4%Spray accuracy

63.3%Counter-strafing

9.6°Preaim

558msReaction time

49.4%T opening success

50.8%CT opening success

0.63Enemies flashed / flash

6.9%Flash assists

10.13HE damage / grenade

13.95Flashes / match

Recommended for you

Spend your practice time on Nuke

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	-0.04	9%	28 Aug →
inferno	13–5	0.04	14%	28 Aug →
ancient	13–6	-0.02	17%	28 Aug →
nuke	15–15	-0.02	8%	24 Aug →
mirage	3–13	-0.02	13%	23 Aug →
dust2	8–13	-0.06	22%	23 Aug →
mirage	2–13	-0.03	10%	22 Aug →
cache	13–10	0.03	15%	22 Aug →
mirage	9–13	-0.05	9%	21 Aug →
inferno	6–13	-0.01	18%	20 Aug →
ancient	5–13	-0.07	15%	17 Aug →
dust2	13–1	0.01	13%	16 Aug →
anubis	13–6	0.01	15%	16 Aug →
mirage	13–6	0.02	15%	16 Aug →
mirage	7–13	0.02	23%	16 Aug →
inferno	11–13	0.09	18%	15 Aug →
dust2	5–13	0.07	22%	15 Aug →
dust2	13–9	0.07	20%	15 Aug →
nuke	5–13	0.06	14%	15 Aug →
dust2	13–7	-0.01	3%	15 Aug →
cache	13–7	0.02	11%	15 Aug →
anubis	13–4	0.08	30%	15 Aug →
ancient	13–11	0.00	12%	13 Aug →
dust2	6–13	0.01	9%	13 Aug →
inferno	5–13	0.06	7%	13 Aug →
mirage	13–4	0.11	9%	12 Aug →
mirage	2–13	-0.07	28%	12 Aug →
inferno	12–12	0.02	25%	12 Aug →
dust2	13–11	0.10	24%	12 Aug →
mirage	13–11	0.05	27%	9 Aug →
mirage	15–15	0.02	17%	9 Aug →
mirage	3–13	-0.07	11%	8 Aug →
dust2	7–13	0.01	27%	8 Aug →
dust2	15–15	-0.00	20%	3 Aug →
mirage	11–13	0.04	24%	3 Aug →
mirage	16–14	-0.01	15%	3 Aug →
dust2	13–3	0.06	21%	3 Aug →
mirage	13–2	0.02	29%	2 Aug →
inferno	13–8	0.02	11%	2 Aug →
ancient	15–15	0.08	18%	2 Aug →
ancient	5–13	0.05	12%	2 Aug →
inferno	9–13	-0.01	10%	2 Aug →
dust2	16–14	0.01	15%	2 Aug →
nuke	12–16	0.00	18%	2 Aug →
ancient	13–9	0.08	21%	30 Jul →
cache	13–9	0.02	16%	30 Jul →
cache	1–13	-0.02	14%	29 Jul →
mirage	6–13	-0.02	17%	29 Jul →
inferno	13–8	0.02	10%	29 Jul →
dust2	13–7	0.04	10%	28 Jul →
inferno	13–11	-0.01	11%	28 Jul →
nuke	13–5	0.07	8%	28 Jul →
inferno	5–13	0.00	6%	28 Jul →
ancient	13–8	-0.03	14%	28 Jul →
ancient	13–4	-0.05	20%	28 Jul →
mirage	13–3	0.02	16%	27 Jul →
mirage	11–13	-0.06	12%	27 Jul →
mirage	5–13	-0.09	16%	27 Jul →
inferno	4–13	-0.03	21%	27 Jul →
dust2	13–4	0.02	4%	27 Jul →
dust2	8–13	-0.03	9%	27 Jul →
dust2	13–16	-0.01	9%	21 Jul →
inferno	13–11	-0.01	12%	18 Jul →
cache	3–13	-0.11	19%	18 Jul →
ancient	13–10	0.14	12%	18 Jul →
cache	13–11	0.06	14%	18 Jul →
dust2	13–9	0.04	17%	18 Jul →
mirage	13–6	-0.05	14%	18 Jul →
inferno	13–7	0.14	22%	17 Jul →
mirage	3–13	-0.02	16%	15 Jul →
dust2	13–7	0.05	21%	15 Jul →
cache	13–9	-0.06	16%	15 Jul →
inferno	8–13	-0.05	19%	15 Jul →
anubis	13–8	0.03	19%	15 Jul →
mirage	9–13	-0.03	15%	14 Jul →
dust2	13–0	0.19	22%	13 Jul →
nuke	12–16	0.01	13%	12 Jul →
cache	16–14	-0.03	12%	10 Jul →
inferno	13–10	-0.04	19%	10 Jul →
mirage	3–13	-0.04	16%	10 Jul →
cache	7–13	-0.02	18%	10 Jul →
dust2	13–9	-0.07	17%	9 Jul →
nuke	8–13	0.00	17%	9 Jul →
inferno	13–6	0.00	22%	9 Jul →
inferno	11–5	-0.05	5%	5 Jul →
overpass	12–5	0.07	19%	4 Jul →
mirage	13–10	0.00	17%	3 Jul →
inferno	13–9	0.03	10%	3 Jul →
dust2	7–13	-0.07	22%	3 Jul →
mirage	4–13	-0.05	11%	3 Jul →
nuke	3–13	-0.01	12%	2 Jul →
mirage	13–7	0.03	17%	2 Jul →
overpass	13–6	0.07	14%	2 Jul →
nuke	0–2	-0.01	0%	2 Jul →
anubis	13–10	0.00	16%	2 Jul →
inferno	13–16	-0.02	16%	1 Jul →
mirage	4–13	-0.01	23%	1 Jul →
mirage	13–5	0.03	14%	1 Jul →
inferno	4–13	-0.01	17%	1 Jul →
inferno	6–13	-0.02	11%	1 Jul →