1xy — CS2 Stats

CN76561199556016953[U:1:1595751225]Steam profile ↗✓ No bans

2,710Tracked matches39%Win rate2023Tracked since

CSDB Rating4.8 Developing

FaceitLevel 8 · 1,902 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58

Positioning57

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateLLLLLWWWWL

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

Player DNA

Aim5.8

Aggression6.4

Utility5.2

Positioning5.7

Opening Duels2.7

Clutch3.4

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 87% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower utility contribution; 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 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms 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

Aim5.8

Positioning5.7

Utility5.2

Mechanics6.8

Opening Duels2.7

Win Impact1.4

Composite 4.8/10 (Developing), 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-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time657ms+31ms

first ⅓ avg 626ms → last ⅓ avg 657ms

Headshot accuracy18.0%−5.2%

first ⅓ avg 23.2% → last ⅓ avg 18.0%

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

0.16Best rating — ancient 13–4

13–0Biggest win — mirage

5Longest win streak

L5Current streak

8–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 49% over 35infernoWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	35	17–18	49%	0.00
dust2	C	27	11–16	41%	0.01
ancient	C	17	7–10	41%	0.00
inferno	C	10	4–6	40%	0.02
overpass	—	3	1–2	33%	-0.06
vertigo	—	2	1–1	50%	-0.03
anubis	—	2	2–0	100%	0.01
stronghold	—	1	0–1	0%	-0.01
train	—	1	0–1	0%	-0.04
office	—	1	0–1	0%	-0.02
agency	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,846Matches

51%Win rate

1.09Avg K/D

81.4ADR

53%Headshot %

Clutches & streaks

37%1v1 clutch win

18%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	747	53%	1.11	17.0
Ancient	322	49%	1.10	16.9
Inferno	242	53%	1.13	16.4
Anubis	194	49%	1.03	16.6
Vertigo	116	49%	1.10	17.3
Dust2	111	47%	1.04	16.4
Nuke	76	51%	1.16	16.7
Overpass	32	38%	0.90	16.7

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.

18.7%Headshot accuracy

32.1%Accuracy (enemy spotted)

35.4%Spray accuracy

80.8%Counter-strafing

10.6°Preaim

648msReaction time

33.4%T opening success

48.4%CT opening success

0.60Enemies flashed / flash

5.8%Flash assists

6.74HE damage / grenade

13.50Flashes / 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 33.3912% — below the 40% mark we flag

Spend your practice time on Inferno

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 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	7–13	-0.03	18%	19 Aug →
dust2	5–13	0.09	15%	19 Aug →
mirage	5–13	0.02	24%	18 Aug →
mirage	5–13	0.01	12%	18 Aug →
mirage	4–13	-0.07	16%	16 Apr →
mirage	13–8	-0.08	13%	14 Apr →
dust2	13–9	0.01	16%	9 Apr →
dust2	13–7	0.04	15%	7 Apr →
mirage	13–7	-0.03	22%	6 Apr →
dust2	10–13	0.03	23%	6 Apr →
mirage	4–13	-0.05	29%	6 Apr →
ancient	5–13	-0.06	23%	5 Apr →
mirage	11–13	0.11	20%	5 Apr →
dust2	11–13	0.05	20%	5 Apr →
ancient	13–4	0.16	11%	5 Apr →
stronghold	5–13	-0.01	36%	22 Mar →
mirage	13–0	0.05	22%	22 Mar →
dust2	13–11	-0.03	20%	21 Mar →
inferno	5–13	-0.07	21%	28 Feb →
mirage	13–11	-0.00	12%	28 Feb →
mirage	13–2	0.04	15%	28 Feb →
overpass	12–12	-0.07	23%	28 Feb →
mirage	2–13	-0.13	0%	27 Feb →
vertigo	0–13	-0.10	6%	14 Feb →
vertigo	13–9	0.03	27%	14 Feb →
ancient	2–13	-0.02	14%	14 Feb →
inferno	9–13	0.03	11%	6 Feb →
inferno	10–13	-0.07	18%	3 Feb →
overpass	12–12	-0.05	25%	18 Jan →
overpass	13–11	-0.06	11%	6 Jan →
dust2	13–9	-0.04	13%	3 Jan →
mirage	13–11	0.01	9%	2 Jan →
mirage	13–3	0.07	32%	2 Jan →
mirage	13–7	-0.04	7%	1 Jan →
mirage	9–13	-0.02	16%	1 Jan →
mirage	8–13	0.01	19%	24 Dec →
mirage	4–13	-0.04	30%	1 Dec →
inferno	13–7	0.06	19%	30 Nov →
ancient	13–5	-0.01	10%	30 Nov →
ancient	13–5	-0.01	18%	29 Nov →
dust2	10–13	-0.06	43%	29 Nov →
train	6–13	-0.04	21%	23 Nov →
dust2	4–13	0.02	24%	20 Nov →
dust2	13–9	0.02	38%	20 Nov →
ancient	9–13	-0.01	23%	14 Nov →
ancient	4–13	-0.06	22%	13 Nov →
dust2	9–13	-0.05	15%	8 Nov →
dust2	13–4	0.01	38%	6 Nov →
mirage	10–13	-0.07	33%	3 Nov →
dust2	5–13	0.00	27%	31 Oct →
office	8–13	-0.02	22%	31 Oct →
ancient	11–13	0.02	21%	30 Oct →
mirage	5–13	-0.03	22%	30 Oct →
mirage	9–13	0.04	22%	28 Oct →
dust2	10–13	-0.03	18%	25 Oct →
ancient	13–11	0.01	13%	24 Oct →
dust2	19–16	-0.03	26%	23 Oct →
dust2	16–12	0.05	20%	19 Oct →
ancient	10–13	-0.03	20%	19 Oct →
mirage	11–13	0.09	32%	19 Oct →
anubis	13–8	-0.03	25%	17 Oct →
mirage	13–10	0.01	31%	17 Oct →
dust2	12–12	-0.00	21%	17 Oct →
ancient	13–9	0.04	29%	17 Oct →
ancient	13–3	-0.05	32%	16 Oct →
inferno	13–8	0.01	16%	16 Oct →
dust2	14–16	0.02	22%	16 Oct →
anubis	13–6	0.05	19%	14 Oct →
ancient	4–13	0.03	20%	14 Oct →
dust2	10–13	-0.03	30%	14 Oct →
mirage	13–5	0.01	20%	13 Oct →
inferno	13–5	0.03	17%	13 Oct →
inferno	8–13	0.00	8%	13 Oct →
dust2	13–10	0.09	29%	13 Oct →
dust2	9–13	-0.04	21%	11 Oct →
mirage	13–4	0.08	21%	11 Oct →
inferno	6–13	0.08	20%	11 Oct →
dust2	11–13	0.03	23%	11 Oct →
mirage	13–10	0.06	28%	11 Oct →
dust2	13–7	0.06	29%	8 Oct →
ancient	16–13	-0.04	16%	7 Oct →
ancient	7–13	0.05	21%	6 Oct →
mirage	11–13	0.02	30%	6 Oct →
mirage	13–11	-0.00	30%	6 Oct →
dust2	5–13	0.04	28%	6 Oct →
inferno	13–6	0.04	21%	6 Oct →
dust2	6–13	0.03	26%	6 Oct →
ancient	8–13	0.01	32%	6 Oct →
dust2	13–8	0.02	19%	5 Oct →
mirage	16–14	0.01	26%	14 Sept →
mirage	5–13	-0.03	16%	6 Sept →
inferno	3–13	0.09	26%	6 Sept →
ancient	7–13	-0.02	31%	13 Aug →
agency	5–13	-0.04	18%	11 Aug →
mirage	9–13	0.03	44%	11 Aug →
mirage	7–13	-0.00	24%	11 Aug →
mirage	13–7	0.05	23%	25 Jul →
dust2	11–13	-0.04	21%	22 Jul →
mirage	13–11	-0.00	18%	22 Jul →
mirage	13–2	0.05	12%	22 Jul →