Facilities5 — CS2 Stats

76561198014588632[U:1:54322904]✓ No bans

2,905Tracked matches20%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

FaceitLevel 9 · 1,998 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning49

Utility73

0–100 skill scores via Leetify.

Recent form

COLD35–65Last 10035%Win rateWLWWLLLLLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim7.5

Aggression6.1

Utility7.3

Positioning4.9

Opening Duels2.5

Clutch4.0

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 Twistzz 94% playstyle similarity

Most alike: utility contribution, 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

T-side openings. Opening success drops from 56% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim7.5

Positioning4.9

Utility7.3

Mechanics7.8

Opening Duels3.3

Win Impact0.0

Composite 5.5/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time576ms−97ms

first ⅓ avg 673ms → last ⅓ avg 576ms

Headshot accuracy19.9%−0.3%

first ⅓ avg 20.2% → last ⅓ avg 19.9%

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

0.12Best rating — nuke 13–5

13–0Biggest win — nuke

4Longest win streak

8–17In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 40% over 35anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	35	14–21	40%	-0.01
inferno	C	29	11–18	38%	-0.01
train	D	10	3–7	30%	-0.02
anubis	D	7	1–6	14%	-0.03
vertigo	—	4	2–2	50%	0.03
cache	—	4	0–4	0%	-0.02
ancient	—	3	1–2	33%	-0.04
overpass	—	3	1–2	33%	0.00
mirage	—	2	2–0	100%	0.00
dust2	—	2	0–2	0%	0.01
edin	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,836Matches

50%Win rate

1.06Avg K/D

77.1ADR

41%Headshot %

Clutches & streaks

40%1v1 clutch win

15%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	253	58%	1.10	16.1
Inferno	251	47%	0.96	14.4
Anubis	99	34%	0.88	13.9
Train	83	52%	0.96	14.7
Vertigo	52	52%	1.13	17.1
Ancient	48	35%	0.95	14.5
Overpass	34	53%	1.07	15.6
Mirage	21	52%	1.06	15.9

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.

19.8%Headshot accuracy

34.7%Accuracy (enemy spotted)

33.7%Spray accuracy

85.0%Counter-strafing

9.4°Preaim

567msReaction time

23.8%T opening success

56.0%CT opening success

0.72Enemies flashed / flash

8.2%Flash assists

12.23HE damage / grenade

11.44Flashes / 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 23.822% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	16–14	0.02	31%	27 Aug →
anubis	9–13	0.05	20%	19 Aug →
inferno	13–10	-0.00	15%	17 Aug →
nuke	13–6	-0.00	30%	14 Aug →
inferno	19–22	-0.01	18%	13 Aug →
nuke	14–16	-0.06	16%	12 Aug →
inferno	11–13	-0.03	18%	11 Aug →
inferno	8–13	-0.01	14%	9 Aug →
nuke	7–13	-0.05	12%	9 Aug →
vertigo	11–13	0.02	17%	9 Aug →
cache	3–13	-0.07	26%	8 Aug →
inferno	14–16	-0.01	12%	7 Aug →
cache	10–13	0.00	21%	6 Aug →
anubis	9–13	-0.10	0%	6 Aug →
inferno	14–16	-0.01	15%	6 Aug →
ancient	9–13	-0.05	24%	6 Aug →
nuke	22–19	0.03	25%	28 Jul →
cache	7–13	0.03	13%	28 Jul →
cache	6–13	-0.02	30%	12 May →
nuke	11–13	-0.05	25%	14 Apr →
nuke	10–13	-0.01	33%	14 Feb →
nuke	9–13	0.00	16%	14 Feb →
nuke	18–22	-0.05	31%	8 Feb →
inferno	13–11	-0.04	13%	6 Feb →
nuke	1–13	-0.04	38%	17 Jan →
inferno	13–10	-0.01	6%	16 Jan →
inferno	11–13	-0.07	15%	13 Jan →
nuke	3–13	-0.03	10%	9 Dec →
inferno	5–13	0.00	21%	7 Dec →
nuke	8–13	0.04	25%	2 Dec →
overpass	16–14	0.00	15%	2 Dec →
inferno	10–13	-0.00	26%	1 Dec →
inferno	7–13	0.00	26%	28 Nov →
overpass	5–13	-0.00	19%	27 Nov →
nuke	16–14	-0.01	26%	21 Nov →
mirage	13–8	0.00	7%	18 Nov →
train	7–13	-0.04	23%	17 Nov →
inferno	13–2	0.02	16%	17 Nov →
inferno	13–11	-0.04	31%	13 Nov →
train	11–13	-0.01	17%	13 Nov →
overpass	9–13	-0.00	8%	9 Sept →
nuke	11–13	-0.08	27%	30 Jun →
inferno	7–13	0.03	18%	29 Jun →
train	11–13	0.01	11%	28 Jun →
inferno	5–13	-0.03	15%	26 Jun →
nuke	11–13	-0.05	20%	25 Jun →
nuke	9–13	-0.04	24%	24 Jun →
inferno	16–12	-0.01	22%	18 Jun →
train	9–13	-0.00	33%	18 Jun →
train	13–5	-0.03	7%	12 Jun →
inferno	13–11	0.02	10%	11 Jun →
train	16–13	0.01	14%	9 Jun →
nuke	13–6	0.07	23%	27 May →
nuke	11–13	0.01	15%	18 May →
nuke	11–13	0.04	25%	15 May →
nuke	11–13	0.02	17%	14 May →
inferno	6–13	-0.04	28%	14 May →
nuke	13–7	0.00	15%	13 May →
train	4–13	-0.05	27%	12 May →
train	13–7	-0.01	4%	11 May →
nuke	13–0	0.09	28%	6 May →
nuke	7–13	-0.05	14%	16 Apr →
inferno	8–13	-0.02	22%	16 Apr →
nuke	13–6	0.09	18%	14 Apr →
inferno	2–13	-0.06	28%	9 Apr →
dust2	12–16	-0.00	18%	5 Apr →
ancient	6–13	-0.03	10%	5 Apr →
nuke	13–3	0.00	10%	28 Mar →
inferno	8–13	-0.02	15%	26 Mar →
nuke	13–10	-0.00	12%	26 Mar →
nuke	13–11	-0.02	21%	19 Mar →
nuke	10–13	0.00	18%	15 Mar →
inferno	4–13	-0.03	23%	13 Mar →
inferno	13–8	0.09	39%	12 Mar →
nuke	13–10	-0.01	15%	10 Mar →
inferno	13–6	0.06	15%	10 Mar →
nuke	6–13	-0.11	8%	6 Mar →
train	11–13	-0.00	19%	6 Mar →
anubis	11–13	-0.03	14%	4 Mar →
mirage	19–17	0.00	22%	3 Mar →
inferno	13–5	0.00	10%	1 Mar →
anubis	9–13	-0.02	17%	27 Feb →
anubis	13–6	0.01	26%	22 Feb →
nuke	11–13	-0.02	18%	22 Feb →
inferno	10–13	0.00	20%	20 Feb →
nuke	13–6	0.01	31%	19 Feb →
dust2	10–13	0.03	31%	17 Feb →
nuke	6–13	-0.06	29%	14 Feb →
anubis	10–13	-0.03	19%	6 Feb →
ancient	13–8	-0.03	22%	6 Feb →
inferno	16–12	-0.01	15%	6 Feb →
nuke	3–13	-0.06	24%	31 Jan →
edin	4–13	-0.03	18%	11 Jan →
anubis	3–13	-0.08	17%	11 Jan →
train	9–13	-0.04	28%	6 Dec →
nuke	13–5	0.12	31%	16 Sept →
inferno	13–16	-0.01	18%	10 Sept →
vertigo	13–10	0.03	20%	6 Sept →
vertigo	10–13	0.01	27%	23 Aug →
vertigo	13–6	0.07	18%	23 Jul →