Big O — CS2 Stats

AU76561198039631456[U:1:79365728]Steam profile ↗✓ No bans

1,346Tracked matches54%Win rate2023Tracked since

CSDB Rating6.7 SolidHybrid Rifler

Premier CS Rating21,308Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)

CSDB Leaderboard#8076 of 22837 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning50

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateWLLWLWWLWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.5

Aggression5.9

Utility6.8

Positioning5.0

Opening Duels1.6

Sharp aimer

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 Twistzz 93% playstyle similarity

Most alike: opening-fight frequency, 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

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

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

Aim8.5

Positioning5.0

Utility6.8

Mechanics7.9

Opening Duels1.6

Win Impact6.2

Composite 6.7/10 (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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time543ms−37ms

first ⅓ avg 580ms → last ⅓ avg 543ms

Headshot accuracy19.3%−0.4%

first ⅓ avg 19.7% → last ⅓ avg 19.3%

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

0.18Best rating — ancient 13–0

13–0Biggest win — ancient

4Longest win streak

6–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 69% over 13cacheWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	23	12–11	52%	0.05
cache	C	20	7–13	35%	0.02
mirage	C	19	8–11	42%	0.03
anubis	B	15	8–7	53%	0.02
ancient	S	13	9–4	69%	0.05
nuke	—	4	1–3	25%	0.01
train	—	3	2–1	67%	0.00
overpass	—	2	0–2	0%	-0.03
vertigo	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

708Matches

55%Win rate

1.28Avg K/D

—ADR

43%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

12Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	1	100%	1.50	18.0
Ancient	1	100%	1.40	7.0

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.

20.1%Headshot accuracy

35.6%Accuracy (enemy spotted)

39.4%Spray accuracy

85.6%Counter-strafing

8.5°Preaim

537msReaction time

32.8%T opening success

40.1%CT opening success

0.59Enemies flashed / flash

7.5%Flash assists

8.98HE damage / grenade

16.23Flashes / 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 32.7662% — below the 40% mark we flag

Spend your practice time on Cache

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.08	15%	27 Jul →
nuke	6–13	-0.01	19%	27 Jul →
cache	1–11	-0.05	6%	27 Jul →
inferno	16–12	0.05	37%	27 Jul →
mirage	8–13	0.06	33%	23 Jul →
inferno	13–8	0.04	19%	23 Jul →
ancient	13–11	0.05	26%	23 Jul →
cache	3–13	-0.02	21%	23 Jul →
inferno	13–3	0.08	17%	22 Jul →
inferno	13–9	0.03	19%	22 Jul →
anubis	13–6	0.06	17%	22 Jul →
inferno	13–5	0.06	28%	21 Jul →
cache	9–13	0.08	15%	21 Jul →
ancient	13–2	0.06	28%	21 Jul →
inferno	11–13	0.07	19%	20 Jul →
ancient	13–6	0.09	18%	20 Jul →
anubis	8–13	-0.03	16%	20 Jul →
mirage	7–13	0.00	20%	20 Jul →
ancient	15–15	0.02	19%	19 Jul →
ancient	7–13	0.04	11%	19 Jul →
mirage	4–13	0.02	17%	19 Jul →
anubis	13–9	0.05	28%	19 Jul →
anubis	0–13	-0.01	0%	19 Jul →
cache	9–13	0.01	15%	19 Jul →
inferno	13–1	-0.04	23%	19 Jul →
cache	13–10	0.02	19%	19 Jul →
inferno	13–3	0.16	19%	19 Jul →
inferno	11–13	0.03	25%	19 Jul →
cache	16–13	-0.01	22%	19 Jul →
anubis	15–15	-0.02	15%	16 Jul →
mirage	7–13	-0.03	13%	16 Jul →
cache	8–13	-0.00	19%	15 Jul →
anubis	13–7	0.02	18%	15 Jul →
mirage	15–15	0.07	24%	14 Jul →
ancient	13–4	0.03	15%	14 Jul →
cache	13–7	0.14	37%	13 Jul →
cache	14–16	-0.02	19%	12 Jul →
anubis	10–13	0.13	14%	12 Jul →
cache	14–16	-0.02	18%	12 Jul →
mirage	13–8	0.13	13%	12 Jul →
mirage	13–6	0.09	20%	12 Jul →
inferno	13–6	0.16	25%	11 Jul →
mirage	9–13	0.05	35%	11 Jul →
cache	6–13	0.03	20%	11 Jul →
ancient	13–10	-0.04	31%	11 Jul →
inferno	13–11	0.06	16%	11 Jul →
anubis	13–6	0.06	15%	11 Jul →
anubis	16–12	0.00	15%	11 Jul →
inferno	6–13	0.00	14%	11 Jul →
mirage	5–13	0.03	24%	11 Jul →
anubis	9–13	-0.02	19%	11 Jul →
cache	13–6	0.09	28%	11 Jul →
inferno	13–9	0.04	25%	11 Jul →
anubis	13–9	0.06	13%	10 Jul →
cache	13–10	0.03	30%	10 Jul →
cache	11–13	-0.00	15%	10 Jul →
mirage	13–7	0.00	11%	9 Jul →
cache	6–13	-0.04	17%	9 Jul →
nuke	0–13	-0.04	19%	9 Jul →
inferno	15–15	-0.04	24%	9 Jul →
nuke	12–12	0.01	30%	7 Jul →
overpass	1–13	-0.07	26%	7 Jul →
anubis	12–12	-0.04	11%	7 Jul →
ancient	13–9	0.09	18%	7 Jul →
ancient	13–0	0.18	30%	7 Jul →
overpass	5–13	0.01	16%	7 Jul →
inferno	12–12	0.01	32%	7 Jul →
inferno	9–13	0.08	26%	7 Jul →
inferno	6–13	0.03	22%	6 Jul →
train	7–7	-0.05	12%	6 Jul →
inferno	13–7	0.06	15%	6 Jul →
train	13–11	-0.02	13%	6 Jul →
inferno	9–13	-0.01	26%	5 Jul →
inferno	12–12	0.01	16%	5 Jul →
anubis	7–13	-0.03	11%	5 Jul →
cache	13–11	0.10	20%	5 Jul →
mirage	7–13	0.00	11%	5 Jul →
mirage	13–2	0.05	27%	5 Jul →
anubis	13–6	-0.00	20%	5 Jul →
vertigo	6–13	-0.05	26%	5 Jul →
cache	5–13	-0.02	14%	5 Jul →
mirage	13–2	0.03	17%	4 Jul →
ancient	1–4	-0.03	29%	4 Jul →
cache	13–1	0.06	15%	2 Jul →
cache	5–13	0.05	22%	2 Jul →
inferno	11–13	0.05	11%	2 Jul →
ancient	13–3	0.13	17%	2 Jul →
mirage	13–10	-0.03	11%	1 Jul →
mirage	2–13	0.05	21%	1 Jul →
mirage	0–7	-0.04	13%	1 Jul →
cache	11–13	0.05	17%	1 Jul →
ancient	13–8	0.06	23%	1 Jul →
ancient	5–13	-0.01	29%	30 Jun →
train	6–13	0.08	34%	29 Jun →
mirage	4–13	-0.05	10%	29 Jun →
inferno	7–13	0.11	38%	29 Jun →
anubis	13–8	0.08	22%	29 Jun →
nuke	13–5	0.08	13%	28 Jun →
inferno	13–11	0.02	24%	28 Jun →
mirage	13–1	0.09	28%	28 Jun →