ossy — CS2 Stats

76561197963486605[U:1:3220877]

768Tracked matches55%Win rate2022Tracked since

CSDB Rating6.5 SolidAggressive Rifler

Premier CS Rating19,981Purple band · top ~8.6% of ranked players (population est.)

CSDB Leaderboard#8588 of 19308 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning60

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateWLWLWWWWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.5

Aggression8.7

Utility6.0

Positioning6.0

Opening Duels3.4

Clutch4.8

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 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 631ms 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

Aim7.5

Positioning6.0

Utility6.0

Mechanics7.7

Opening Duels3.4

Win Impact6.7

Composite 6.5/10 (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 rating-0.02+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time633ms+3ms

first ⅓ avg 629ms → last ⅓ avg 633ms

Headshot accuracy19.2%+1.1%

first ⅓ avg 18.1% → last ⅓ avg 19.2%

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

0.13Best rating — ancient 13–9

13–0Biggest win — cache

8Longest win streak

6–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 73% over 15anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	23	14–9	61%	-0.02
inferno	C	18	8–10	44%	-0.03
cache	S	15	11–4	73%	-0.02
dust2	B	15	7–8	47%	-0.03
nuke	A	11	7–4	64%	-0.02
mirage	C	10	4–6	40%	-0.00
anubis	D	6	2–4	33%	-0.03
train	—	1	1–0	100%	-0.05
overpass	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

443Matches

53%Win rate

1.19Avg K/D

79.4ADR

41%Headshot %

Clutches & streaks

44%1v1 clutch win

32%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	17	65%	1.38	16.3
Anubis	15	60%	1.25	16.7
Ancient	13	62%	1.18	16.9
Cache	10	40%	0.90	15.2
Mirage	8	62%	1.04	17.6
Inferno	6	17%	0.85	13.0
Vertigo	3	33%	0.68	13.3
Nuke	2	100%	1.02	11.5

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.

19.0%Headshot accuracy

33.2%Accuracy (enemy spotted)

37.4%Spray accuracy

84.7%Counter-strafing

7.5°Preaim

631msReaction time

34.8%T opening success

52.5%CT opening success

0.61Enemies flashed / flash

8.0%Flash assists

8.02HE damage / grenade

7.36Flashes / 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 34.8395% — 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.

33% win rate across 6 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
inferno	13–6	0.03	16%	20 Aug →
nuke	11–13	-0.03	10%	19 Aug →
cache	13–5	-0.08	11%	18 Aug →
cache	6–13	-0.10	14%	18 Aug →
inferno	13–5	-0.06	13%	18 Aug →
ancient	13–2	0.03	19%	17 Aug →
nuke	2–0	0.05	0%	17 Aug →
ancient	13–9	-0.02	11%	17 Aug →
anubis	7–13	0.00	21%	14 Aug →
inferno	11–13	-0.03	13%	14 Aug →
ancient	13–10	0.07	24%	11 Aug →
inferno	7–9	0.03	26%	10 Aug →
inferno	2–9	-0.08	16%	10 Aug →
inferno	15–15	-0.04	16%	10 Aug →
ancient	5–13	-0.06	28%	9 Aug →
cache	13–6	0.00	26%	8 Aug →
nuke	13–10	-0.06	13%	7 Aug →
nuke	13–5	-0.02	30%	7 Aug →
ancient	13–11	-0.03	17%	7 Aug →
cache	13–4	0.06	28%	7 Aug →
dust2	13–16	-0.02	16%	4 Aug →
dust2	8–13	-0.06	41%	4 Aug →
mirage	13–16	0.07	24%	4 Aug →
cache	13–7	-0.05	16%	4 Aug →
cache	8–13	0.02	19%	3 Aug →
inferno	13–10	-0.03	19%	3 Aug →
mirage	2–13	-0.12	6%	3 Aug →
ancient	13–9	0.13	24%	31 Jul →
inferno	13–16	-0.06	15%	30 Jul →
cache	13–11	-0.04	15%	30 Jul →
dust2	9–13	-0.04	39%	30 Jul →
ancient	3–13	-0.09	11%	25 Jul →
inferno	6–3	0.08	36%	25 Jul →
dust2	11–13	0.00	14%	25 Jul →
train	13–9	-0.05	15%	25 Jul →
ancient	13–2	0.00	19%	25 Jul →
cache	9–13	-0.06	9%	25 Jul →
ancient	4–13	-0.07	19%	25 Jul →
inferno	11–13	-0.08	4%	24 Jul →
nuke	7–13	0.00	28%	24 Jul →
cache	16–12	-0.01	17%	24 Jul →
ancient	3–0	0.02	0%	24 Jul →
ancient	8–13	-0.08	13%	23 Jul →
ancient	3–13	-0.12	9%	21 Jul →
dust2	7–13	-0.09	19%	21 Jul →
inferno	10–13	-0.07	27%	19 Jul →
ancient	13–7	-0.06	15%	19 Jul →
anubis	4–13	-0.03	25%	18 Jul →
dust2	13–10	-0.00	17%	18 Jul →
nuke	7–13	-0.04	7%	18 Jul →
ancient	9–13	-0.01	18%	18 Jul →
ancient	13–6	-0.05	13%	16 Jul →
cache	13–8	-0.12	11%	16 Jul →
anubis	13–11	-0.02	19%	16 Jul →
inferno	13–10	-0.02	16%	16 Jul →
cache	13–0	0.11	21%	16 Jul →
dust2	6–13	-0.02	18%	16 Jul →
ancient	3–13	-0.04	24%	16 Jul →
inferno	8–13	-0.03	20%	16 Jul →
mirage	10–13	0.02	8%	15 Jul →
dust2	4–13	-0.05	27%	15 Jul →
dust2	13–3	-0.05	21%	15 Jul →
mirage	13–6	0.07	17%	14 Jul →
nuke	13–9	0.00	10%	13 Jul →
cache	13–2	0.01	15%	13 Jul →
mirage	10–13	-0.02	17%	13 Jul →
anubis	13–11	-0.01	13%	9 Jul →
dust2	13–9	-0.11	13%	9 Jul →
mirage	9–13	-0.01	14%	9 Jul →
cache	13–8	0.02	13%	9 Jul →
inferno	13–9	-0.07	14%	7 Jul →
cache	13–8	-0.01	18%	7 Jul →
nuke	4–2	0.02	25%	5 Jul →
inferno	13–7	-0.04	30%	5 Jul →
overpass	13–10	-0.06	16%	30 Jun →
ancient	13–9	-0.03	8%	30 Jun →
mirage	13–7	-0.01	19%	30 Jun →
anubis	5–13	-0.06	18%	29 Jun →
ancient	9–13	0.04	14%	29 Jun →
mirage	13–7	0.02	22%	29 Jun →
dust2	7–13	0.00	31%	29 Jun →
ancient	13–7	0.02	16%	29 Jun →
dust2	13–8	-0.07	28%	27 Jun →
inferno	2–13	-0.06	20%	27 Jun →
nuke	1–13	-0.10	17%	27 Jun →
inferno	13–7	-0.01	12%	27 Jun →
dust2	13–5	-0.02	16%	24 Jun →
ancient	16–13	-0.02	11%	24 Jun →
ancient	12–12	0.00	24%	23 Jun →
anubis	9–13	-0.05	15%	22 Jun →
nuke	13–10	-0.03	13%	22 Jun →
ancient	13–7	0.02	26%	22 Jun →
cache	6–13	-0.02	24%	18 Jun →
dust2	13–10	0.02	13%	18 Jun →
mirage	9–13	-0.03	21%	16 Jun →
nuke	13–10	0.03	16%	11 Jun →
dust2	13–5	0.01	24%	11 Jun →
inferno	9–13	-0.04	26%	10 Jun →
ancient	13–10	-0.04	10%	5 Jun →
mirage	13–6	-0.02	14%	5 Jun →