boo — CS2 Stats

CK76561199380732839[U:1:1420467111]Steam profile ↗✓ No bans

1,174Tracked matches55%Win rate2022Tracked since

CSDB Rating5.4 DevelopingSupport

Premier CS Rating24,881Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)

CSDB Leaderboard#4978 of 35839 tracked

FaceitLevel 7 · 1,459 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning33

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY57–35–8Last 10057%Win rateLWLLWLLWWL

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

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

Aim6.8

Aggression1.6

Utility7.3

Positioning3.3

Opening Duels0.0

Clutch2.2

Strong CT-side opener

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 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 33% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim6.8

Positioning3.3

Utility7.3

Mechanics5.5

Opening Duels0.4

Win Impact6.7

Composite 5.4/10 (Developing), 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 rating-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time580ms+27ms

first ⅓ avg 553ms → last ⅓ avg 580ms

Headshot accuracy18.5%−0.3%

first ⅓ avg 18.8% → last ⅓ avg 18.5%

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

0.17Best rating — inferno 13–4

13–0Biggest win — vertigo

6Longest win streak

5–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 83% over 23ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	13–11	54%	-0.01
inferno	S	23	19–4	83%	0.03
dust2	C	19	8–11	42%	-0.01
anubis	B	10	5–5	50%	-0.01
cache	A	10	6–4	60%	-0.03
ancient	C	8	3–5	38%	-0.02
vertigo	B	6	3–3	50%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

274Matches

50%Win rate

0.98Avg K/D

77.4ADR

51%Headshot %

Clutches & streaks

31%1v1 clutch win

26%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	105	52%	1.02	15.0
Ancient	68	49%	0.96	15.0
Anubis	43	56%	0.92	14.7
Dust2	24	38%	0.81	13.2
Nuke	12	67%	1.30	14.0
Inferno	12	25%	0.85	14.8
Vertigo	6	83%	1.17	14.8
Train	2	0%	0.74	12.0

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.

18.5%Headshot accuracy

34.6%Accuracy (enemy spotted)

40.3%Spray accuracy

74.6%Counter-strafing

10.4°Preaim

578msReaction time

17.5%T opening success

33.1%CT opening success

0.67Enemies flashed / flash

9.1%Flash assists

7.76HE damage / grenade

18.04Flashes / 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 17.5249% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	2–13	-0.07	9%	25 Aug →
mirage	13–6	-0.05	20%	25 Aug →
mirage	11–13	0.01	19%	24 Aug →
cache	5–13	-0.06	18%	22 Aug →
mirage	16–13	-0.00	17%	13 Aug →
dust2	11–13	-0.06	17%	8 Aug →
vertigo	7–13	-0.04	10%	8 Aug →
anubis	13–10	-0.02	14%	1 Aug →
ancient	13–9	-0.06	12%	1 Aug →
dust2	1–13	0.03	0%	1 Aug →
dust2	2–13	-0.08	32%	1 Aug →
dust2	13–9	0.05	23%	1 Aug →
inferno	13–5	0.02	29%	26 Jul →
anubis	9–13	0.00	14%	24 Jul →
dust2	3–13	-0.08	33%	19 Jul →
dust2	13–11	0.03	19%	19 Jul →
inferno	13–8	0.05	22%	19 Jul →
dust2	4–13	0.02	15%	19 Jul →
mirage	13–4	0.09	17%	19 Jul →
ancient	6–13	-0.02	12%	19 Jul →
inferno	13–6	0.08	20%	18 Jul →
dust2	9–13	-0.04	23%	18 Jul →
inferno	11–13	0.11	24%	18 Jul →
dust2	13–8	-0.02	17%	18 Jul →
cache	13–7	0.04	36%	18 Jul →
mirage	13–11	0.05	11%	18 Jul →
mirage	12–12	-0.05	16%	18 Jul →
mirage	10–3	-0.03	22%	14 Jul →
inferno	13–10	-0.02	13%	14 Jul →
ancient	13–8	-0.07	17%	13 Jul →
dust2	13–16	-0.03	11%	13 Jul →
inferno	11–13	-0.01	19%	13 Jul →
anubis	13–9	-0.01	28%	12 Jul →
inferno	13–5	0.08	19%	12 Jul →
mirage	11–13	-0.04	10%	12 Jul →
inferno	13–6	0.01	19%	10 Jul →
anubis	12–12	-0.01	12%	1 Jul →
cache	9–13	-0.05	12%	1 Jul →
dust2	8–13	0.01	25%	1 Jul →
inferno	13–5	0.06	24%	1 Jul →
mirage	13–3	-0.04	18%	1 Jul →
dust2	13–3	-0.01	18%	30 Jun →
inferno	13–4	0.07	20%	30 Jun →
anubis	13–10	0.01	13%	30 Jun →
mirage	13–6	-0.02	23%	30 Jun →
anubis	5–13	-0.07	22%	29 Jun →
anubis	13–5	-0.00	13%	29 Jun →
dust2	13–10	-0.04	22%	29 Jun →
dust2	8–13	0.03	23%	28 Jun →
mirage	13–3	-0.01	21%	26 Jun →
anubis	9–13	-0.02	6%	20 Jun →
dust2	13–6	-0.02	18%	20 Jun →
vertigo	13–0	-0.03	33%	20 Jun →
mirage	5–13	-0.01	25%	19 Jun →
inferno	13–3	0.03	13%	19 Jun →
ancient	12–12	0.06	17%	17 Jun →
cache	13–5	-0.02	10%	17 Jun →
inferno	13–8	-0.02	28%	16 Jun →
mirage	8–13	-0.09	24%	16 Jun →
inferno	13–5	0.08	22%	16 Jun →
anubis	13–4	0.05	18%	16 Jun →
ancient	6–13	-0.08	22%	16 Jun →
vertigo	12–12	0.01	14%	15 Jun →
mirage	13–11	-0.02	22%	15 Jun →
cache	5–13	-0.06	10%	15 Jun →
mirage	13–4	0.10	23%	15 Jun →
inferno	13–7	0.00	18%	13 Jun →
mirage	8–13	-0.06	11%	13 Jun →
inferno	9–13	0.03	25%	13 Jun →
cache	13–8	0.04	13%	12 Jun →
mirage	5–13	-0.03	12%	12 Jun →
vertigo	13–7	-0.04	29%	11 Jun →
mirage	4–13	-0.05	16%	10 Jun →
ancient	13–0	0.07	36%	10 Jun →
cache	13–3	-0.03	3%	10 Jun →
dust2	13–9	0.02	28%	10 Jun →
vertigo	13–3	0.01	13%	7 Jun →
cache	8–13	-0.07	13%	7 Jun →
mirage	12–12	0.11	38%	7 Jun →
ancient	12–12	0.01	20%	7 Jun →
dust2	5–13	-0.08	10%	7 Jun →
vertigo	11–13	-0.05	15%	7 Jun →
inferno	13–11	0.03	23%	7 Jun →
mirage	5–13	-0.02	15%	7 Jun →
inferno	13–8	0.03	15%	7 Jun →
mirage	13–5	-0.06	11%	7 Jun →
inferno	12–12	-0.06	24%	6 Jun →
mirage	13–7	-0.01	14%	26 May →
inferno	13–10	-0.02	18%	26 May →
cache	13–0	-0.02	29%	25 May →
ancient	7–13	-0.07	22%	25 May →
dust2	13–8	0.05	19%	24 May →
inferno	13–11	0.04	22%	24 May →
mirage	13–9	-0.06	19%	18 May →
cache	13–2	-0.03	16%	18 May →
mirage	12–12	0.02	15%	18 May →
dust2	10–13	-0.02	25%	17 May →
inferno	13–6	-0.02	16%	17 May →
inferno	13–8	0.04	12%	16 May →
inferno	13–4	0.17	24%	16 May →