Ozzy — CS2 Stats

76561198315986907[U:1:355721179]Steam profile ↗✓ No bans

1,124Tracked matches50%Win rate2020Tracked since

951Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

FaceitLevel 10 · 2,088 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	57.7%	51.7%
Shot accuracy	10.9%	13.8%
Kill/death ratio	1.24	1.09
Match win rate	46.4%	48.7%

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Performance scores

Aim79

Positioning63

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY61–35–4Last 10061%Win rateLLLLLWLWWW

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

Player DNA

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

Aim7.9

Aggression8.3

Utility4.8

Positioning6.3

Opening Duels3.5

Clutch3.8

Limited utility dependence

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 donk 90% 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 553ms 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

Aim7.9

Positioning6.3

Utility4.8

Mechanics6.8

Opening Duels3.5

Win Impact5.0

Composite 6.2/10 (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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time542ms−30ms

first ⅓ avg 572ms → last ⅓ avg 542ms

Headshot accuracy29.3%+5.3%

first ⅓ avg 24.0% → last ⅓ avg 29.3%

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

0.22Best rating — mirage 13–2

13–1Biggest win — cache

10Longest win streak

L5Current streak

10–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 80% over 10anubisWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	0.04
nuke	S	17	11–6	65%	0.01
ancient	S	13	9–4	69%	0.01
cache	A	12	7–5	58%	0.03
anubis	B	11	5–6	45%	0.07
inferno	A	10	6–4	60%	0.04
dust2	S	10	8–2	80%	0.07
vertigo	—	2	2–0	100%	0.02
overpass	—	2	1–1	50%	0.02
alpine	—	1	1–0	100%	0.09
office	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,955Lifetime kills

1.24K/D · Top 25% of Level 10 players

2,365Matches

46.4%Match win rate

57.7%Headshot % · Top 25% of Level 10 players

10.9%Shot accuracy

6,317MVPs

951Hours (in match)

2,902Bombs planted

640Bombs defused

Most-used weapons

AK-4721,959

AWP11,720

M4A4 / M4A1-S7,648

Desert Eagle5,102

P2000 / USP-S3,932

Glock-182,354

SSG 082,075

Negev1,290

MP9973

Galil AR958

Lifetime map wins

2,408inferno

1,820nuke

1,447dust2

926train

902vertigo

86office

46safehouse

39cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

696Matches

53%Win rate

1.43Avg K/D

85.8ADR

58%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	175	53%	1.36	17.9
Ancient	90	40%	1.20	16.9
Nuke	78	60%	1.25	16.9
Anubis	68	49%	1.49	19.8
Inferno	62	55%	1.46	17.7
Train	43	63%	1.42	19.2
Dust2	36	44%	1.37	18.8
Vertigo	34	76%	1.92	20.9

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.

28.3%Headshot accuracy

31.1%Accuracy (enemy spotted)

29.6%Spray accuracy

80.5%Counter-strafing

8.4°Preaim

553msReaction time

39.6%T opening success

48.2%CT opening success

0.57Enemies flashed / flash

6.0%Flash assists

6.48HE damage / grenade

3.61Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.6083 — below the 4 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 39.5834% — 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.

45% win rate across 11 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
mirage	14–16	0.03	24%	23 Jun →
inferno	9–13	0.04	30%	17 Jun →
nuke	4–13	0.04	13%	30 May →
ancient	5–13	-0.03	28%	20 May →
cache	3–13	0.06	19%	20 May →
cache	13–7	-0.03	29%	19 May →
ancient	2–13	-0.06	46%	18 May →
cache	13–2	0.07	28%	8 May →
cache	13–11	0.01	18%	8 May →
cache	13–1	0.10	27%	8 May →
cache	3–13	-0.03	34%	8 May →
cache	13–8	0.02	23%	8 May →
cache	13–6	0.01	32%	8 May →
mirage	9–13	-0.01	30%	7 May →
vertigo	13–2	0.04	27%	6 May →
inferno	12–12	0.02	33%	6 May →
ancient	13–4	0.07	33%	6 May →
dust2	13–8	0.00	35%	6 May →
cache	12–12	0.04	22%	6 May →
ancient	13–3	-0.03	24%	4 May →
mirage	11–13	0.01	32%	4 May →
mirage	12–12	0.03	32%	3 May →
anubis	11–13	0.06	26%	3 May →
cache	4–13	-0.01	31%	3 May →
overpass	13–11	0.03	28%	29 Apr →
cache	13–4	0.07	35%	29 Apr →
anubis	12–12	0.13	30%	29 Apr →
cache	5–13	0.04	26%	29 Apr →
nuke	7–13	-0.03	24%	28 Apr →
ancient	13–9	0.02	36%	27 Apr →
vertigo	13–8	-0.00	36%	27 Apr →
ancient	13–10	0.13	53%	27 Apr →
nuke	13–2	0.11	25%	27 Apr →
anubis	13–11	0.07	35%	22 Apr →
nuke	13–6	-0.02	24%	22 Apr →
mirage	9–13	0.12	21%	21 Apr →
alpine	13–9	0.09	36%	21 Apr →
dust2	13–3	0.06	32%	21 Apr →
nuke	13–5	0.03	33%	20 Apr →
inferno	13–9	-0.04	27%	20 Apr →
anubis	13–5	0.07	27%	18 Apr →
nuke	13–6	0.03	32%	18 Apr →
mirage	10–13	-0.02	18%	18 Apr →
dust2	13–8	0.07	33%	15 Apr →
ancient	13–9	-0.01	20%	15 Apr →
overpass	9–13	0.01	40%	15 Apr →
nuke	6–13	0.00	21%	13 Apr →
inferno	13–9	-0.02	39%	12 Apr →
nuke	13–3	0.02	44%	12 Apr →
nuke	13–9	-0.02	22%	12 Apr →
dust2	13–3	0.14	24%	12 Apr →
anubis	9–5	0.08	27%	12 Apr →
mirage	13–1	0.04	39%	12 Apr →
mirage	13–11	0.01	22%	10 Apr →
mirage	7–13	0.00	33%	10 Apr →
nuke	13–3	0.07	39%	9 Apr →
anubis	13–11	0.09	36%	9 Apr →
dust2	9–13	0.08	31%	9 Apr →
ancient	7–13	-0.04	17%	8 Apr →
mirage	10–13	-0.05	18%	8 Apr →
inferno	13–2	0.09	25%	4 Apr →
anubis	9–13	0.10	28%	4 Apr →
dust2	13–8	0.03	34%	4 Apr →
anubis	13–3	0.07	23%	4 Apr →
inferno	2–10	-0.00	42%	4 Apr →
anubis	9–13	0.06	26%	4 Apr →
mirage	13–4	0.07	31%	4 Apr →
nuke	5–13	0.05	23%	3 Apr →
mirage	9–13	-0.04	21%	3 Apr →
ancient	16–13	0.07	22%	3 Apr →
nuke	10–13	-0.01	21%	2 Apr →
mirage	13–9	0.07	32%	2 Apr →
ancient	13–11	0.00	19%	2 Apr →
anubis	10–13	0.05	28%	2 Apr →
mirage	13–5	0.02	16%	1 Apr →
ancient	13–11	0.03	38%	1 Apr →
nuke	7–13	-0.09	19%	1 Apr →
ancient	13–10	-0.07	30%	31 Mar →
mirage	11–13	-0.01	15%	31 Mar →
mirage	13–4	0.06	34%	29 Mar →
office	13–7	0.02	24%	29 Mar →
dust2	13–9	-0.02	30%	29 Mar →
mirage	13–2	0.22	21%	29 Mar →
inferno	13–11	0.04	26%	29 Mar →
dust2	13–5	0.16	26%	29 Mar →
nuke	13–11	-0.02	16%	26 Mar →
mirage	13–9	-0.05	32%	26 Mar →
mirage	13–7	0.01	31%	26 Mar →
nuke	13–11	0.05	22%	22 Mar →
dust2	7–13	0.01	23%	22 Mar →
nuke	13–9	0.04	17%	22 Mar →
inferno	16–13	0.07	23%	21 Mar →
inferno	11–13	0.04	17%	20 Mar →
mirage	13–10	0.16	24%	20 Mar →
inferno	13–2	0.11	27%	20 Mar →
anubis	5–13	0.03	23%	20 Mar →
nuke	16–13	-0.04	8%	19 Mar →
ancient	14–16	0.04	25%	17 Mar →
dust2	13–9	0.14	27%	17 Mar →
mirage	6–13	0.10	32%	17 Mar →