OogaBoogas — CS2 Stats

76561198167796478[U:1:207530750]✓ No bans

869Tracked matches62%Win rate2020Tracked since

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating15,599Purple band · top ~26% of ranked players (population est.)

WingmanSilver I

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning49

Utility56

0–100 skill scores via Leetify.

Recent form

COLD51–43–6Last 10051%Win rateLLLWLLLWTW

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.1

Aggression6.4

Utility5.6

Positioning4.9

Opening Duels3.2

Clutch5.6

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 b1t 89% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 55% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 662ms 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

Aim7.1

Positioning4.9

Utility5.6

Mechanics7.7

Opening Duels3.2

Win Impact9.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time667ms+11ms

first ⅓ avg 656ms → last ⅓ avg 667ms

Headshot accuracy17.1%+5.4%

first ⅓ avg 11.8% → last ⅓ avg 17.1%

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

0.14Best rating — mirage 13–2

13–1Biggest win — mirage

10Longest win streak

L3Current streak

5–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 71% over 17ancientWeakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	24	15–9	63%	0.01
anubis	S	17	12–5	71%	0.02
ancient	D	16	4–12	25%	-0.01
cache	C	12	5–7	42%	-0.00
dust2	B	11	5–6	45%	0.00
nuke	C	8	3–5	38%	0.01
inferno	C	7	3–4	43%	0.01
overpass	—	3	2–1	67%	0.02
fachwerk	—	1	1–0	100%	0.07
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

83Matches

47%Win rate

1.08Avg K/D

84.2ADR

40%Headshot %

Clutches & streaks

48%1v1 clutch win

22%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	32%	0.90	15.5
Anubis	16	56%	1.10	18.1
Ancient	12	50%	1.29	15.5
Nuke	10	70%	1.18	18.5
Dust2	9	56%	1.10	15.2
Inferno	8	25%	1.11	14.8
Cache	5	40%	1.03	15.0
Overpass	2	100%	1.29	20.0

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.

18.1%Headshot accuracy

36.6%Accuracy (enemy spotted)

36.0%Spray accuracy

84.8%Counter-strafing

9.2°Preaim

662msReaction time

30.8%T opening success

55.0%CT opening success

0.40Enemies flashed / flash

5.5%Flash assists

9.52HE damage / grenade

9.88Flashes / 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.

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 0.4008 — 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 30.8159% — 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.

25% win rate across 16 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
cache	10–13	-0.03	13%	26 Aug →
cache	9–13	0.02	16%	22 Aug →
anubis	11–13	-0.04	13%	22 Aug →
inferno	13–11	0.05	29%	21 Aug →
mirage	10–13	-0.03	16%	9 Aug →
dust2	11–13	-0.04	25%	8 Aug →
nuke	10–13	-0.00	12%	8 Aug →
anubis	13–4	0.02	28%	8 Aug →
mirage	15–15	0.02	18%	8 Aug →
mirage	13–7	0.10	21%	7 Aug →
mirage	13–10	0.03	14%	7 Aug →
cache	6–13	-0.00	11%	6 Aug →
dust2	9–13	0.01	17%	6 Aug →
fachwerk	13–10	0.07	23%	6 Aug →
cache	5–13	-0.00	15%	6 Aug →
cache	13–7	0.05	18%	5 Aug →
anubis	13–9	0.06	22%	5 Aug →
vertigo	13–7	0.02	28%	4 Aug →
mirage	13–1	0.06	16%	4 Aug →
cache	13–9	0.00	9%	4 Aug →
mirage	13–2	0.14	14%	1 Aug →
mirage	13–6	0.13	15%	1 Aug →
anubis	13–5	0.07	15%	24 Jul →
mirage	13–7	0.07	17%	24 Jul →
dust2	13–10	0.07	27%	24 Jul →
ancient	8–13	-0.02	20%	24 Jul →
anubis	13–4	0.04	6%	24 Jul →
cache	13–5	0.05	26%	24 Jul →
inferno	11–13	0.01	20%	24 Jul →
anubis	13–8	-0.02	18%	24 Jul →
nuke	13–6	0.02	6%	24 Jul →
mirage	9–13	-0.01	8%	22 Jul →
ancient	9–13	-0.10	8%	18 Jul →
anubis	13–7	0.02	7%	18 Jul →
dust2	8–13	-0.02	15%	18 Jul →
dust2	13–9	0.06	16%	18 Jul →
anubis	5–13	0.07	9%	18 Jul →
nuke	4–13	-0.04	9%	18 Jul →
anubis	15–15	-0.01	7%	18 Jul →
anubis	8–13	-0.01	12%	17 Jul →
mirage	6–13	-0.03	22%	17 Jul →
cache	13–7	0.00	14%	17 Jul →
anubis	1–13	-0.00	8%	14 Jul →
ancient	7–13	-0.03	12%	10 Jul →
dust2	13–8	0.02	17%	4 Jul →
mirage	9–13	-0.03	6%	4 Jul →
mirage	9–13	-0.09	20%	3 Jul →
mirage	13–11	-0.04	16%	3 Jul →
ancient	13–16	0.01	14%	3 Jul →
cache	8–13	0.01	22%	2 Jul →
cache	8–3	0.00	8%	2 Jul →
mirage	13–9	0.04	19%	30 Jun →
mirage	13–3	0.03	9%	29 Jun →
anubis	13–1	0.05	16%	29 Jun →
cache	7–13	-0.02	16%	28 Jun →
cache	0–13	-0.12	8%	28 Jun →
anubis	13–10	-0.02	5%	27 Jun →
anubis	13–8	0.05	18%	27 Jun →
inferno	13–2	0.03	6%	21 Jun →
dust2	11–13	0.02	8%	21 Jun →
mirage	8–13	-0.03	19%	21 Jun →
mirage	13–11	0.05	11%	21 Jun →
inferno	13–3	0.03	5%	20 Jun →
ancient	13–7	-0.02	15%	20 Jun →
mirage	13–8	-0.01	12%	20 Jun →
ancient	16–13	0.03	11%	20 Jun →
nuke	4–13	-0.02	40%	20 Jun →
ancient	13–11	0.01	9%	20 Jun →
mirage	10–13	-0.07	18%	20 Jun →
ancient	15–15	-0.00	11%	19 Jun →
overpass	13–8	0.01	10%	19 Jun →
mirage	13–9	0.02	10%	18 Jun →
dust2	13–9	-0.01	13%	18 Jun →
ancient	9–13	-0.01	10%	13 Jun →
nuke	13–9	0.00	16%	13 Jun →
nuke	13–6	0.05	19%	13 Jun →
mirage	15–15	0.00	7%	12 Jun →
ancient	13–10	0.04	12%	12 Jun →
dust2	13–10	-0.05	18%	12 Jun →
ancient	9–13	-0.01	5%	11 Jun →
overpass	8–13	0.04	14%	11 Jun →
nuke	15–15	0.01	10%	10 Jun →
mirage	13–8	-0.01	9%	10 Jun →
dust2	8–13	-0.07	7%	10 Jun →
overpass	16–13	0.02	19%	6 Jun →
anubis	13–7	0.05	11%	6 Jun →
inferno	12–16	0.01	18%	5 Jun →
mirage	9–0	-0.02	0%	5 Jun →
ancient	10–13	0.07	8%	5 Jun →
anubis	16–13	0.03	12%	4 Jun →
ancient	7–13	0.02	11%	4 Jun →
anubis	13–8	0.00	14%	4 Jun →
mirage	13–11	0.05	10%	2 Jun →
inferno	15–15	-0.02	9%	31 May →
nuke	7–13	0.02	16%	31 May →
ancient	11–13	-0.02	3%	31 May →
ancient	9–13	-0.02	11%	30 May →
inferno	10–13	-0.01	12%	30 May →
dust2	10–13	0.05	14%	30 May →
ancient	4–13	-0.04	19%	30 May →