AussieOsborne — CS2 Stats

AU76561198328008299[U:1:367742571]Steam profile ↗✓ No bans

2,428Tracked matches69%Win rate2021Tracked since

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating21,312Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)

CSDB Leaderboard#8358 of 23804 tracked

FaceitLevel 10 · 1,955 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning58

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY61–37–2Last 10061%Win rateLLWWLTLWWL

Last 10 vs previous 10: -50pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.5

Aggression6.5

Utility6.4

Positioning5.8

Opening Duels2.3

Clutch3.6

Sharp aimerStrong 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 Twistzz 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 52% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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

Aim8.5

Positioning5.8

Utility6.4

Mechanics8.3

Opening Duels2.8

Win Impact10.0

Composite 7.3/10 (Strong), 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 rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time567ms−10ms

first ⅓ avg 577ms → last ⅓ avg 567ms

Headshot accuracy24.4%−4.4%

first ⅓ avg 28.8% → last ⅓ avg 24.4%

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 8–3

13–0Biggest win — inferno

8Longest win streak

L2Current streak

11–8In matches decided by ≤2 rounds

16Overtime games

Map breakdown

cacheBest map · 82% over 11dust2Weakest map · 47% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	21	16–5	76%	0.03
dust2	B	17	8–9	47%	0.01
ancient	B	17	9–8	53%	0.02
nuke	A	12	7–5	58%	0.01
anubis	A	12	7–5	58%	0.01
cache	S	11	9–2	82%	0.03
inferno	B	10	5–5	50%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

990Matches

51%Win rate

1.17Avg K/D

76.2ADR

48%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	85	42%	0.97	13.9
Anubis	73	47%	1.05	15.4
Ancient	71	54%	1.19	16.0
Dust2	50	42%	1.06	14.7
Inferno	41	54%	1.25	16.1
Nuke	23	65%	1.21	16.4
Vertigo	10	50%	1.29	16.9
Cache	8	50%	0.93	15.3

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.

22.6%Headshot accuracy

34.8%Accuracy (enemy spotted)

44.3%Spray accuracy

87.3%Counter-strafing

10.0°Preaim

563msReaction time

25.8%T opening success

52.4%CT opening success

0.63Enemies flashed / flash

7.0%Flash assists

8.61HE damage / grenade

19.06Flashes / 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 25.7867% — below the 40% mark we flag

Spend your practice time on Dust 2

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

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	-0.01	13%	29 Aug →
inferno	10–13	-0.04	17%	29 Aug →
inferno	13–5	-0.01	19%	28 Aug →
nuke	13–5	0.02	16%	28 Aug →
dust2	9–13	-0.06	60%	28 Aug →
dust2	15–15	-0.03	20%	28 Aug →
mirage	0–7	0.04	67%	27 Aug →
dust2	13–8	-0.04	13%	27 Aug →
mirage	13–4	0.06	34%	27 Aug →
dust2	4–13	-0.03	15%	26 Aug →
ancient	13–2	0.06	27%	26 Aug →
inferno	13–9	0.06	22%	26 Aug →
nuke	13–6	0.07	17%	26 Aug →
dust2	13–6	-0.01	25%	26 Aug →
dust2	14–16	0.02	20%	26 Aug →
dust2	13–11	-0.01	29%	24 Aug →
nuke	16–14	-0.00	20%	24 Aug →
anubis	13–2	0.02	23%	24 Aug →
anubis	22–19	0.04	24%	23 Aug →
mirage	13–8	-0.01	27%	19 Aug →
dust2	16–14	-0.03	17%	17 Aug →
mirage	13–7	0.03	14%	12 Aug →
ancient	6–13	-0.05	21%	12 Aug →
dust2	13–5	0.01	17%	7 Aug →
nuke	12–16	-0.03	11%	6 Aug →
ancient	11–13	-0.06	15%	6 Aug →
anubis	13–9	-0.06	44%	6 Aug →
ancient	13–5	0.06	30%	5 Aug →
mirage	13–5	0.03	15%	5 Aug →
nuke	13–4	0.05	19%	5 Aug →
inferno	14–16	0.03	27%	5 Aug →
ancient	13–7	0.02	32%	4 Aug →
anubis	13–16	0.03	32%	4 Aug →
cache	13–10	0.02	31%	4 Aug →
ancient	13–5	0.08	22%	4 Aug →
dust2	3–13	-0.06	21%	3 Aug →
ancient	9–13	0.05	22%	3 Aug →
ancient	13–10	0.05	28%	3 Aug →
inferno	13–11	0.02	54%	2 Aug →
mirage	13–8	-0.04	31%	2 Aug →
inferno	14–16	0.03	31%	1 Aug →
cache	16–14	0.05	14%	1 Aug →
anubis	15–15	-0.03	14%	1 Aug →
mirage	8–13	-0.02	21%	31 Jul →
mirage	13–11	0.01	29%	31 Jul →
inferno	8–3	0.17	38%	31 Jul →
mirage	10–13	-0.04	22%	31 Jul →
cache	13–11	-0.02	25%	31 Jul →
cache	16–13	0.04	32%	30 Jul →
dust2	8–13	-0.02	29%	30 Jul →
mirage	8–13	0.03	33%	29 Jul →
nuke	8–13	-0.04	15%	29 Jul →
inferno	13–0	0.02	20%	29 Jul →
anubis	8–13	-0.05	18%	29 Jul →
cache	13–7	0.01	16%	27 Jul →
anubis	3–13	-0.03	21%	27 Jul →
nuke	6–13	0.00	18%	27 Jul →
mirage	13–5	0.08	26%	27 Jul →
mirage	13–8	0.08	38%	27 Jul →
anubis	13–10	0.03	20%	27 Jul →
dust2	13–6	0.08	19%	26 Jul →
dust2	13–11	0.05	26%	24 Jul →
mirage	13–3	-0.01	36%	24 Jul →
mirage	13–2	0.06	39%	23 Jul →
anubis	13–6	0.08	23%	23 Jul →
cache	9–13	0.06	22%	22 Jul →
ancient	4–13	-0.02	21%	22 Jul →
dust2	11–13	0.07	18%	22 Jul →
inferno	9–13	-0.01	15%	22 Jul →
anubis	13–11	0.05	31%	22 Jul →
ancient	13–10	0.09	30%	22 Jul →
nuke	13–8	0.03	19%	22 Jul →
dust2	4–13	0.04	18%	21 Jul →
mirage	13–7	-0.04	22%	21 Jul →
nuke	13–3	0.03	38%	21 Jul →
anubis	13–16	0.03	33%	21 Jul →
mirage	13–7	0.02	21%	21 Jul →
nuke	13–7	-0.02	29%	20 Jul →
ancient	13–10	0.00	25%	20 Jul →
cache	13–11	0.07	25%	20 Jul →
mirage	13–4	0.05	30%	20 Jul →
cache	8–13	-0.07	20%	19 Jul →
cache	16–14	0.04	23%	19 Jul →
nuke	0–13	-0.05	100%	18 Jul →
ancient	0–13	-0.08	0%	18 Jul →
cache	13–6	0.08	46%	18 Jul →
mirage	13–6	0.03	41%	18 Jul →
ancient	0–13	-0.01	0%	18 Jul →
anubis	13–5	0.04	31%	17 Jul →
mirage	9–13	-0.00	40%	17 Jul →
mirage	13–6	0.07	40%	17 Jul →
cache	13–8	0.11	26%	17 Jul →
ancient	14–16	0.02	21%	16 Jul →
nuke	14–16	0.04	18%	16 Jul →
mirage	13–6	0.12	27%	16 Jul →
ancient	13–10	0.05	32%	16 Jul →
dust2	13–6	0.16	44%	16 Jul →
ancient	8–13	0.03	42%	16 Jul →
ancient	13–10	0.01	26%	16 Jul →
dust2	11–13	0.05	21%	16 Jul →