SABANX0 — CS2 Stats

76561199589203321[U:1:1628937593]Steam profile ↗✓ No bans

1,603Tracked matches61%Win rate2024Tracked since

CSDB Rating4.3 Developing

Premier CS Rating9,017Light Blue band · top ~59.6% of ranked players (population est.)

CSDB Leaderboard#24958 of 33779 tracked

FaceitLevel 3 · 831 ELOTop 90.6% 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

Aim40

Positioning40

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLTWLWLWLWL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim4.0

Aggression4.7

Utility4.6

Positioning4.0

Opening Duels0.4

Clutch3.0

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 78% playstyle similarity

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

Where you differ: lower positioning profile; 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. 701ms 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

Aim4.0

Positioning4.0

Utility4.6

Mechanics8.1

Opening Duels0.5

Win Impact8.6

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time698ms−14ms

first ⅓ avg 713ms → last ⅓ avg 698ms

Headshot accuracy15.2%+1.0%

first ⅓ avg 14.1% → last ⅓ avg 15.2%

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

0.11Best rating — dust2 13–0

13–0Biggest win — dust2

4Longest win streak

5–1In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 58% over 26nukeWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	15–11	58%	-0.02
mirage	A	25	14–11	56%	-0.03
ancient	B	14	7–7	50%	-0.03
nuke	D	13	3–10	23%	-0.04
inferno	C	10	4–6	40%	-0.07
anubis	D	6	2–4	33%	-0.03
cache	—	4	3–1	75%	0.01
vertigo	—	2	0–2	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

61Matches

41%Win rate

0.89Avg K/D

72.3ADR

43%Headshot %

Clutches & streaks

35%1v1 clutch win

15%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	38%	0.86	13.2
Dust2	16	50%	1.18	13.9
Anubis	7	57%	0.81	13.0
Nuke	6	50%	0.48	9.3
Inferno	5	20%	0.74	13.0
Ancient	5	20%	0.86	14.0
Vertigo	1	0%	0.71	10.0

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.

14.7%Headshot accuracy

30.0%Accuracy (enemy spotted)

26.9%Spray accuracy

86.6%Counter-strafing

11.2°Preaim

701msReaction time

29.2%T opening success

34.3%CT opening success

0.63Enemies flashed / flash

1.6%Flash assists

10.31HE damage / grenade

4.19Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.6992% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 700.599ms — above the 700ms mark we flag
Aim Training →
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 29.161% — below the 40% mark we flag

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.

23% win rate across 13 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
inferno	13–16	-0.07	16%	29 Aug →
nuke	15–15	-0.10	7%	29 Aug →
mirage	13–3	0.00	7%	28 Aug →
dust2	11–13	-0.09	20%	28 Aug →
mirage	13–2	-0.02	9%	28 Aug →
anubis	10–13	-0.00	12%	28 Aug →
dust2	13–9	-0.02	11%	28 Aug →
mirage	7–13	-0.09	7%	26 Aug →
dust2	13–9	-0.04	17%	25 Aug →
nuke	9–13	-0.06	15%	24 Aug →
dust2	6–13	-0.08	16%	24 Aug →
mirage	13–7	-0.02	4%	24 Aug →
mirage	13–4	-0.03	21%	24 Aug →
inferno	13–9	-0.03	20%	23 Aug →
ancient	4–13	-0.02	23%	23 Aug →
nuke	2–13	-0.10	21%	22 Aug →
cache	13–9	-0.02	20%	22 Aug →
mirage	3–0	-0.05	29%	22 Aug →
inferno	13–6	0.00	28%	22 Aug →
mirage	13–10	0.02	22%	21 Aug →
anubis	6–13	-0.09	18%	20 Aug →
inferno	3–9	-0.22	5%	20 Aug →
dust2	13–5	-0.03	8%	20 Aug →
mirage	15–15	-0.07	8%	19 Aug →
inferno	13–5	-0.02	21%	19 Aug →
dust2	13–11	0.01	10%	16 Aug →
dust2	13–4	0.06	17%	16 Aug →
nuke	6–13	-0.00	14%	16 Aug →
anubis	13–5	0.02	10%	14 Aug →
dust2	10–13	-0.09	18%	10 Aug →
dust2	13–7	0.04	10%	5 Aug →
dust2	6–13	0.00	21%	2 Aug →
ancient	13–9	-0.03	17%	1 Aug →
dust2	2–13	-0.09	25%	31 Jul →
mirage	16–13	-0.01	11%	31 Jul →
dust2	9–13	-0.07	10%	30 Jul →
dust2	13–3	-0.04	14%	30 Jul →
dust2	13–7	-0.05	21%	29 Jul →
vertigo	5–13	0.02	11%	29 Jul →
vertigo	1–13	-0.06	16%	29 Jul →
mirage	13–4	0.04	22%	29 Jul →
dust2	13–6	0.02	25%	28 Jul →
inferno	4–13	-0.07	13%	27 Jul →
nuke	6–13	-0.02	0%	27 Jul →
mirage	13–9	0.03	15%	27 Jul →
mirage	13–6	0.07	14%	27 Jul →
cache	13–10	-0.03	10%	26 Jul →
mirage	4–13	-0.06	29%	25 Jul →
ancient	12–16	-0.07	6%	25 Jul →
mirage	13–11	-0.00	13%	24 Jul →
mirage	10–13	-0.03	10%	24 Jul →
anubis	2–13	-0.09	18%	24 Jul →
dust2	13–10	-0.01	9%	23 Jul →
anubis	10–13	-0.05	6%	22 Jul →
nuke	7–13	-0.06	12%	21 Jul →
dust2	4–13	-0.09	29%	21 Jul →
cache	5–13	0.03	14%	20 Jul →
dust2	15–15	-0.04	12%	19 Jul →
anubis	13–6	0.02	13%	19 Jul →
mirage	3–13	-0.11	11%	19 Jul →
mirage	2–13	-0.09	6%	18 Jul →
inferno	10–13	-0.08	10%	18 Jul →
mirage	13–11	-0.06	4%	15 Jul →
ancient	13–10	-0.01	8%	15 Jul →
nuke	13–5	-0.02	12%	15 Jul →
ancient	13–10	0.07	16%	15 Jul →
nuke	7–13	-0.02	13%	15 Jul →
ancient	7–13	-0.03	11%	13 Jul →
dust2	13–9	-0.02	9%	13 Jul →
mirage	10–13	-0.04	10%	13 Jul →
mirage	9–13	-0.07	4%	13 Jul →
mirage	7–13	-0.06	26%	13 Jul →
dust2	13–0	0.11	12%	13 Jul →
dust2	5–13	-0.02	14%	12 Jul →
ancient	13–6	0.02	15%	12 Jul →
ancient	13–4	-0.03	2%	11 Jul →
mirage	10–13	-0.04	13%	11 Jul →
ancient	5–13	-0.03	13%	11 Jul →
ancient	3–13	-0.07	21%	11 Jul →
dust2	13–10	-0.02	10%	11 Jul →
nuke	4–13	-0.03	14%	11 Jul →
ancient	5–13	-0.05	11%	10 Jul →
inferno	13–11	-0.05	12%	10 Jul →
nuke	6–13	-0.05	21%	9 Jul →
nuke	6–13	-0.01	13%	9 Jul →
dust2	13–11	-0.05	23%	9 Jul →
dust2	13–8	-0.03	15%	6 Jul →
ancient	2–13	-0.10	45%	5 Jul →
nuke	13–6	0.02	16%	4 Jul →
dust2	8–13	0.02	9%	4 Jul →
mirage	13–9	-0.07	15%	4 Jul →
mirage	2–13	-0.09	14%	3 Jul →
dust2	12–16	-0.02	12%	2 Jul →
nuke	13–6	-0.07	13%	2 Jul →
inferno	8–13	-0.06	6%	2 Jul →
cache	13–8	0.03	16%	1 Jul →
ancient	13–4	-0.01	12%	1 Jul →
ancient	13–8	-0.05	10%	29 Jun →
inferno	2–13	-0.13	13%	28 Jun →
mirage	13–8	0.01	15%	28 Jun →