Sooolo — CS2 Stats

FI76561198837866993[U:1:877601265]Steam profile ↗✓ No bans

1,829Tracked matches56%Win rate2020Tracked since

CSDB Rating6.1 SolidSupport

Premier CS Rating24,561Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)

CSDB Leaderboard#4075 of 24440 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning56

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWLLLTTWWLW

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

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim6.6

Aggression4.4

Utility7.0

Positioning5.6

Opening Duels0.8

Clutch4.0

Effective 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 NiKo 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 575ms 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

Aim6.6

Positioning5.6

Utility7.0

Mechanics7.1

Opening Duels1.0

Win Impact6.9

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time575ms−19ms

first ⅓ avg 594ms → last ⅓ avg 575ms

Headshot accuracy14.3%−2.7%

first ⅓ avg 17.0% → last ⅓ avg 14.3%

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

0.21Best rating — ancient 13–1

13–0Biggest win — ancient

6Longest win streak

12–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 65% over 20anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	21	10–11	48%	0.02
ancient	S	20	13–7	65%	0.04
dust2	A	13	8–5	62%	-0.01
cache	C	10	4–6	40%	0.01
nuke	C	10	4–6	40%	0.04
mirage	C	8	3–5	38%	0.01
overpass	A	8	5–3	63%	0.03
anubis	D	6	2–4	33%	0.02
vertigo	—	3	1–2	33%	-0.01
fachwerk	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

522Matches

53%Win rate

1.35Avg K/D

85.4ADR

37%Headshot %

Clutches & streaks

40%1v1 clutch win

26%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	91	57%	1.50	19.1
Ancient	79	53%	1.34	18.2
Nuke	69	58%	1.44	18.8
Overpass	53	53%	1.47	17.0
Dust2	37	38%	1.24	16.2
Vertigo	28	54%	1.57	18.6
Mirage	27	33%	1.16	16.4
Anubis	11	27%	1.25	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.

14.0%Headshot accuracy

35.2%Accuracy (enemy spotted)

37.2%Spray accuracy

82.0%Counter-strafing

10.7°Preaim

575msReaction time

28.4%T opening success

37.7%CT opening success

0.82Enemies flashed / flash

9.5%Flash assists

9.18HE damage / grenade

8.95Flashes / 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 14.0204% — below the 15% 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 28.4023% — 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.

33% win rate across 6 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
dust2	13–11	0.03	21%	25 Aug →
mirage	6–13	0.01	18%	24 Aug →
ancient	10–13	-0.04	21%	24 Aug →
cache	2–13	-0.06	38%	24 Aug →
inferno	12–12	0.01	19%	22 Aug →
cache	12–12	-0.00	19%	22 Aug →
dust2	13–8	-0.01	13%	22 Aug →
fachwerk	13–9	0.08	17%	21 Aug →
vertigo	7–13	-0.03	8%	21 Aug →
dust2	13–9	-0.04	25%	21 Aug →
anubis	8–13	-0.03	17%	20 Aug →
vertigo	13–5	0.06	15%	20 Aug →
cache	8–13	-0.02	14%	20 Aug →
dust2	8–13	-0.02	16%	5 Aug →
cache	16–14	0.07	17%	5 Aug →
ancient	13–6	0.04	12%	1 Aug →
cache	13–5	0.05	12%	1 Aug →
dust2	8–13	0.04	13%	1 Aug →
ancient	19–16	0.03	10%	1 Aug →
dust2	13–11	-0.01	14%	1 Aug →
inferno	13–10	-0.01	6%	29 Jul →
ancient	13–3	0.01	10%	29 Jul →
mirage	6–13	-0.02	8%	27 Jul →
ancient	11–13	-0.03	12%	27 Jul →
dust2	7–13	0.03	13%	27 Jul →
nuke	13–5	0.01	8%	26 Jul →
cache	19–17	0.02	10%	24 Jul →
inferno	11–13	-0.03	9%	23 Jul →
inferno	13–11	-0.00	7%	23 Jul →
ancient	15–15	0.03	11%	16 Jul →
mirage	13–8	0.04	11%	16 Jul →
ancient	13–7	0.05	17%	16 Jul →
inferno	6–13	-0.00	13%	15 Jul →
inferno	11–13	0.07	17%	14 Jul →
mirage	8–13	-0.03	16%	14 Jul →
cache	4–13	-0.01	10%	13 Jul →
dust2	16–14	0.02	18%	13 Jul →
dust2	13–4	-0.01	22%	13 Jul →
inferno	8–13	0.10	12%	13 Jul →
nuke	13–11	0.04	18%	12 Jul →
ancient	13–1	0.21	20%	12 Jul →
inferno	14–16	0.04	14%	12 Jul →
ancient	13–6	0.11	9%	9 Jul →
overpass	10–13	0.06	5%	7 Jul →
cache	3–13	0.05	18%	7 Jul →
cache	2–0	0.00	0%	7 Jul →
ancient	13–10	0.10	14%	6 Jul →
inferno	13–10	0.07	16%	6 Jul →
inferno	11–13	0.06	21%	6 Jul →
ancient	13–7	0.04	15%	6 Jul →
ancient	13–5	0.06	20%	6 Jul →
nuke	12–16	0.05	14%	3 Jul →
overpass	16–14	-0.01	13%	3 Jul →
dust2	11–13	-0.05	11%	3 Jul →
nuke	10–13	0.02	12%	29 Jun →
ancient	6–13	0.05	14%	29 Jun →
mirage	7–13	0.02	17%	28 Jun →
inferno	13–3	-0.00	18%	28 Jun →
mirage	13–10	0.04	15%	11 Jun →
anubis	4–13	0.03	8%	11 Jun →
inferno	9–13	0.02	22%	11 Jun →
inferno	13–11	0.02	17%	11 Jun →
mirage	13–8	-0.02	19%	10 Jun →
inferno	15–15	0.01	13%	10 Jun →
anubis	13–8	-0.01	22%	8 Jun →
overpass	6–13	0.00	9%	8 Jun →
dust2	13–7	0.02	19%	8 Jun →
inferno	13–2	0.05	29%	8 Jun →
ancient	6–13	0.00	15%	8 Jun →
anubis	2–13	0.06	13%	7 Jun →
overpass	13–7	0.07	28%	7 Jun →
ancient	9–13	0.04	13%	5 Jun →
ancient	13–8	0.02	13%	5 Jun →
vertigo	4–13	-0.06	12%	5 Jun →
nuke	11–13	-0.02	22%	28 May →
anubis	11–13	-0.01	26%	26 May →
inferno	5–0	-0.02	0%	26 May →
inferno	13–6	0.05	18%	23 May →
ancient	13–7	0.04	18%	23 May →
overpass	13–11	0.03	20%	23 May →
overpass	16–13	0.05	14%	22 May →
nuke	13–5	0.08	13%	22 May →
dust2	8–13	-0.03	11%	22 May →
ancient	13–0	0.06	9%	22 May →
inferno	7–13	-0.03	19%	22 May →
inferno	7–1	-0.01	29%	22 May →
nuke	7–13	0.02	20%	21 May →
overpass	10–13	0.00	25%	21 May →
dust2	13–6	-0.05	12%	20 May →
inferno	13–9	0.02	13%	20 May →
nuke	1–13	0.04	13%	19 May →
inferno	14–16	0.06	9%	19 May →
anubis	13–10	0.06	11%	19 May →
ancient	13–10	0.06	16%	19 May →
nuke	10–13	0.06	10%	13 May →
mirage	5–13	0.04	15%	13 May →
cache	3–13	-0.01	20%	13 May →
overpass	16–13	0.04	15%	12 May →
nuke	13–11	0.07	20%	12 May →
ancient	11–13	0.00	38%	12 May →