Ospa — CS2 Stats

76561198120466193[U:1:160200465]

1,437Tracked matches54%Win rate2020Tracked since

CSDB Rating6.4 SolidAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim81

Positioning62

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWLWLLLWLWL

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

Player DNA

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

Aim8.1

Aggression9.2

Utility4.9

Positioning6.2

Opening Duels4.8

Clutch3.4

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 ropz 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; higher opening-fight frequency.

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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 65% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim8.1

Positioning6.2

Utility4.9

Mechanics7.8

Opening Duels4.8

Win Impact6.3

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time624ms+22ms

first ⅓ avg 602ms → last ⅓ avg 624ms

Headshot accuracy19.6%+0.7%

first ⅓ avg 18.8% → last ⅓ avg 19.6%

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

0.12Best rating — dust2 13–3

13–1Biggest win — mirage

7Longest win streak

5–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

overpassBest map · 62% over 13mirageWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	24	13–11	54%	0.01
dust2	C	21	8–13	38%	-0.00
nuke	B	20	10–10	50%	0.01
overpass	A	13	8–5	62%	0.00
anubis	B	11	5–6	45%	-0.00
mirage	D	6	2–4	33%	0.01
cache	—	3	0–3	0%	0.03
ancient	—	2	0–2	0%	-0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

538Matches

52%Win rate

1.06Avg K/D

83.2ADR

45%Headshot %

Clutches & streaks

37%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	114	54%	1.06	16.6
Inferno	96	49%	1.07	16.6
Nuke	88	61%	1.17	17.1
Mirage	83	48%	1.01	15.7
Dust2	39	46%	0.92	15.0
Overpass	38	47%	1.01	15.4
Ancient	21	38%	0.92	14.7
Vertigo	5	40%	1.06	10.2

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

39.4%Accuracy (enemy spotted)

42.7%Spray accuracy

85.1%Counter-strafing

9.3°Preaim

619msReaction time

34.0%T opening success

64.6%CT opening success

0.46Enemies flashed / flash

6.3%Flash assists

10.03HE damage / grenade

5.38Flashes / 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 0.4617 — 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 34.0428% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–10	-0.00	22%	17 Aug →
nuke	9–13	0.07	12%	7 Jul →
nuke	13–9	0.03	23%	6 Jul →
overpass	10–13	-0.01	15%	28 Jun →
anubis	7–13	-0.02	18%	18 Jun →
ancient	10–13	-0.05	16%	16 Jun →
overpass	13–10	0.01	14%	14 Jun →
dust2	3–13	-0.00	13%	7 Jun →
anubis	13–3	-0.01	20%	1 Jun →
cache	6–13	-0.01	8%	10 May →
mirage	8–13	-0.02	14%	6 May →
dust2	13–9	0.06	14%	6 May →
inferno	13–4	0.03	17%	6 May →
cache	3–13	0.04	18%	6 May →
cache	12–12	0.04	8%	5 May →
dust2	9–13	0.02	28%	5 May →
inferno	13–5	0.05	25%	5 May →
nuke	15–15	-0.00	25%	28 Apr →
anubis	15–15	0.03	22%	28 Apr →
dust2	0–13	-0.06	11%	28 Apr →
dust2	10–13	-0.01	16%	26 Apr →
nuke	13–5	0.03	12%	26 Apr →
inferno	15–15	-0.01	21%	26 Apr →
dust2	9–13	-0.03	30%	23 Apr →
nuke	13–5	0.06	20%	23 Apr →
dust2	3–0	0.08	100%	23 Apr →
inferno	13–6	0.04	18%	23 Apr →
overpass	13–10	0.01	15%	21 Apr →
anubis	13–4	0.06	8%	21 Apr →
overpass	13–5	0.04	19%	21 Apr →
nuke	13–11	0.04	23%	20 Apr →
anubis	9–13	-0.00	12%	20 Apr →
inferno	13–11	-0.02	9%	20 Apr →
mirage	10–13	0.02	22%	17 Apr →
dust2	6–13	-0.03	32%	17 Apr →
nuke	9–13	-0.02	20%	17 Apr →
inferno	7–13	0.03	19%	17 Apr →
inferno	9–13	0.00	17%	16 Apr →
dust2	13–5	-0.04	14%	16 Apr →
mirage	13–7	0.07	22%	16 Apr →
ancient	4–13	0.04	22%	14 Apr →
inferno	6–13	-0.04	27%	14 Apr →
nuke	5–13	0.02	18%	14 Apr →
anubis	7–13	-0.03	11%	24 Mar →
overpass	13–9	0.02	31%	24 Mar →
inferno	13–16	0.02	18%	24 Mar →
anubis	13–8	-0.01	19%	23 Mar →
overpass	6–13	-0.03	11%	23 Mar →
nuke	13–8	0.10	16%	23 Mar →
mirage	13–1	-0.03	14%	23 Mar →
inferno	13–3	0.03	32%	22 Mar →
nuke	5–13	0.01	19%	22 Mar →
overpass	13–2	-0.03	8%	22 Mar →
dust2	11–13	0.02	5%	22 Mar →
inferno	13–3	0.04	24%	22 Mar →
overpass	3–13	-0.06	20%	20 Mar →
anubis	13–6	0.03	18%	20 Mar →
inferno	4–13	0.00	14%	20 Mar →
anubis	10–13	0.02	17%	20 Mar →
nuke	13–6	-0.04	10%	20 Mar →
nuke	11–13	-0.03	8%	19 Mar →
inferno	13–9	-0.03	22%	19 Mar →
dust2	13–11	0.01	24%	19 Mar →
dust2	9–13	-0.01	33%	19 Mar →
dust2	13–11	0.05	18%	17 Mar →
mirage	3–13	-0.00	22%	17 Mar →
overpass	10–13	0.01	16%	17 Mar →
inferno	13–7	0.02	17%	17 Mar →
nuke	13–3	-0.03	15%	16 Mar →
overpass	13–8	-0.00	16%	16 Mar →
dust2	13–3	0.12	25%	16 Mar →
inferno	10–13	-0.01	7%	16 Mar →
dust2	6–13	-0.02	16%	15 Mar →
nuke	14–16	-0.01	20%	15 Mar →
inferno	0–13	-0.01	22%	15 Mar →
anubis	10–13	-0.06	20%	15 Mar →
mirage	14–16	0.03	15%	13 Mar →
dust2	9–13	0.00	17%	13 Mar →
nuke	15–15	0.04	22%	13 Mar →
inferno	4–13	-0.00	30%	13 Mar →
nuke	16–13	0.07	16%	12 Mar →
dust2	13–5	-0.07	14%	12 Mar →
dust2	8–13	-0.01	14%	11 Mar →
overpass	13–8	0.02	34%	11 Mar →
nuke	8–13	-0.04	22%	11 Mar →
inferno	13–6	0.00	2%	11 Mar →
overpass	16–13	0.03	15%	9 Mar →
inferno	13–11	0.01	15%	9 Mar →
nuke	10–13	0.00	8%	9 Mar →
inferno	13–9	-0.01	28%	8 Mar →
dust2	5–13	-0.02	14%	8 Mar →
overpass	11–13	0.03	21%	8 Mar →
dust2	13–8	-0.02	30%	8 Mar →
nuke	13–7	-0.01	24%	5 Mar →
inferno	13–4	0.09	33%	5 Mar →
dust2	11–13	-0.03	28%	5 Mar →
inferno	13–7	-0.04	7%	5 Mar →
inferno	15–15	0.04	18%	4 Mar →
anubis	13–9	-0.05	13%	4 Mar →
inferno	11–13	0.00	22%	4 Mar →