Soba — CS2 Stats

76561199059661565[U:1:1099395837]Steam profile ↗✓ No bans

1,158Tracked matches46%Win rate2021Tracked since

CSDB Rating3.8 Learning

Premier CS Rating4,879Grey band · top ~79.3% of ranked players (population est.)

CSDB Leaderboard#18017 of 23437 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning47

Utility19

0–100 skill scores via Leetify.

Recent form

STEADY41–49–10Last 10041%Win rateLTWWWLWLTW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Aim5.0

Aggression5.2

Utility1.9

Positioning4.7

Opening Duels1.8

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 NiKo 79% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim5.0

Positioning4.7

Utility1.9

Mechanics6.3

Opening Duels1.8

Win Impact3.8

Composite 3.8/10 (Learning), 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-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time660ms−30ms

first ⅓ avg 690ms → last ⅓ avg 660ms

Headshot accuracy9.6%+1.4%

first ⅓ avg 8.2% → last ⅓ avg 9.6%

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

0.32Best rating — vertigo 9–1

13–1Biggest win — office

3Longest win streak

6–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 60% over 5nukeWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
office	B	18	9–9	50%	-0.03
cache	D	18	6–12	33%	-0.01
nuke	D	13	3–10	23%	-0.01
mirage	A	11	6–5	55%	-0.01
ancient	D	8	2–6	25%	-0.02
inferno	B	8	4–4	50%	0.02
dust2	A	5	3–2	60%	-0.02
vertigo	—	4	2–2	50%	0.06
train	—	3	1–2	33%	-0.02
debris	—	3	1–2	33%	-0.01
shelter	—	2	1–1	50%	-0.05
anubis	—	2	1–1	50%	0.01
boulder	—	1	0–1	0%	0.03
alpine	—	1	1–0	100%	0.15
poseidon	—	1	0–1	0%	-0.07
overpass	—	1	1–0	100%	0.08
stronghold	—	1	0–1	0%	-0.04

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

17Matches

53%Win rate

0.83Avg K/D

72.8ADR

29%Headshot %

Clutches & streaks

38%1v1 clutch win

9%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	4	75%	0.86	13.0
Nuke	4	50%	0.89	13.8
Cache	4	50%	0.65	11.0
Ancient	2	0%	0.87	17.0
Mirage	1	0%	0.78	7.0
Inferno	1	100%	1.07	15.0
Overpass	1	100%	1.00	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.

9.3%Headshot accuracy

33.6%Accuracy (enemy spotted)

38.3%Spray accuracy

78.1%Counter-strafing

9.9°Preaim

648msReaction time

31.8%T opening success

42.9%CT opening success

0.26Enemies flashed / flash

3.5%Flash assists

6.32HE damage / grenade

0.85Flashes / 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 9.3013% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2557 — below the 0.5 mark we flag
Grenade Lineups →
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 31.8206% — 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
office	6–13	-0.06	11%	20 Aug →
nuke	12–12	-0.04	5%	20 Aug →
train	13–11	-0.02	5%	20 Aug →
ancient	13–10	-0.08	3%	19 Aug →
dust2	13–10	-0.02	13%	19 Aug →
office	9–13	-0.02	6%	18 Aug →
mirage	13–5	-0.04	12%	18 Aug →
vertigo	7–13	-0.06	4%	18 Aug →
nuke	8–8	0.04	10%	18 Aug →
office	13–11	-0.01	4%	16 Aug →
nuke	4–9	-0.13	13%	16 Aug →
cache	3–13	-0.04	8%	5 Aug →
office	13–1	0.00	14%	5 Aug →
vertigo	13–3	0.05	9%	5 Aug →
debris	8–8	0.01	7%	5 Aug →
cache	12–12	0.01	12%	3 Aug →
debris	8–8	-0.12	3%	3 Aug →
office	4–13	-0.05	2%	28 Jul →
shelter	13–10	-0.02	9%	28 Jul →
mirage	8–13	0.01	10%	24 Jul →
mirage	13–3	0.04	15%	24 Jul →
inferno	13–10	0.06	13%	24 Jul →
office	8–13	0.04	9%	23 Jul →
cache	5–13	-0.01	15%	23 Jul →
office	13–11	-0.05	9%	22 Jul →
cache	11–13	0.04	12%	22 Jul →
inferno	9–6	0.03	24%	22 Jul →
dust2	6–13	-0.09	9%	22 Jul →
inferno	11–13	0.08	4%	22 Jul →
office	13–7	-0.01	6%	21 Jul →
mirage	4–13	-0.01	15%	21 Jul →
nuke	13–7	0.09	12%	19 Jul →
ancient	11–13	0.01	14%	17 Jul →
nuke	7–13	-0.05	13%	17 Jul →
cache	3–13	-0.09	12%	17 Jul →
cache	13–3	0.09	14%	17 Jul →
mirage	13–10	-0.03	4%	17 Jul →
nuke	1–13	0.05	17%	17 Jul →
shelter	4–13	-0.07	0%	16 Jul →
office	11–13	-0.04	6%	16 Jul →
mirage	11–13	-0.03	10%	16 Jul →
dust2	13–11	-0.03	16%	16 Jul →
ancient	13–3	0.08	5%	16 Jul →
office	2–13	-0.09	17%	15 Jul →
ancient	5–13	0.02	5%	15 Jul →
train	12–12	-0.05	5%	15 Jul →
nuke	7–13	0.00	9%	15 Jul →
dust2	13–5	0.03	14%	15 Jul →
office	4–13	-0.07	5%	14 Jul →
cache	16–12	-0.01	6%	14 Jul →
cache	11–13	-0.05	7%	14 Jul →
boulder	12–12	0.03	8%	10 Jul →
office	13–7	0.01	4%	10 Jul →
cache	2–13	0.05	12%	10 Jul →
nuke	8–13	-0.03	18%	10 Jul →
cache	8–13	0.06	12%	10 Jul →
cache	16–13	0.02	12%	10 Jul →
cache	6–13	-0.03	8%	9 Jul →
office	13–7	-0.01	3%	9 Jul →
ancient	13–16	-0.05	10%	9 Jul →
cache	13–7	0.03	18%	9 Jul →
debris	9–5	0.08	19%	9 Jul →
office	13–11	-0.11	8%	7 Jul →
mirage	3–13	-0.01	21%	7 Jul →
alpine	13–2	0.15	10%	7 Jul →
dust2	9–13	0.04	8%	2 Jul →
ancient	3–13	-0.08	20%	2 Jul →
mirage	13–6	0.01	9%	1 Jul →
vertigo	9–1	0.32	14%	1 Jul →
poseidon	4–9	-0.07	9%	1 Jul →
nuke	13–10	0.03	3%	1 Jul →
cache	6–13	-0.00	18%	1 Jul →
office	13–2	0.03	8%	30 Jun →
ancient	5–13	-0.06	8%	26 Jun →
nuke	13–6	0.05	7%	26 Jun →
cache	8–13	-0.08	7%	26 Jun →
mirage	8–13	-0.04	8%	26 Jun →
office	7–13	-0.01	5%	25 Jun →
inferno	11–13	-0.02	11%	25 Jun →
ancient	5–13	0.02	13%	25 Jun →
overpass	9–7	0.08	10%	25 Jun →
nuke	3–9	-0.13	3%	25 Jun →
office	12–12	-0.09	10%	24 Jun →
inferno	10–13	-0.04	11%	24 Jun →
anubis	13–8	0.04	6%	24 Jun →
inferno	13–2	-0.01	10%	23 Jun →
cache	8–13	-0.03	5%	23 Jun →
train	11–13	0.01	9%	23 Jun →
inferno	8–13	-0.03	11%	23 Jun →
mirage	13–8	-0.01	11%	23 Jun →
office	13–9	-0.01	6%	23 Jun →
nuke	12–12	0.00	3%	19 Jun →
mirage	12–6	0.05	13%	19 Jun →
inferno	13–6	0.06	7%	19 Jun →
vertigo	5–9	-0.06	6%	19 Jun →
nuke	11–13	-0.05	3%	18 Jun →
stronghold	7–8	-0.04	3%	18 Jun →
anubis	12–12	-0.02	8%	18 Jun →
cache	13–4	-0.08	5%	18 Jun →
cache	13–6	0.04	8%	18 Jun →