Will Ospreay — CS2 Stats

76561198113977970[U:1:153712242]✓ No bans

348Tracked matches55%Win rate2022Tracked since

1,136Hours in CS2Hrs last 2 wks

CSDB Rating4.5 Developing

Ladder ranks via Leetify

Performance scores

Aim43

Positioning49

Utility24

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLTLWWLLWLW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim4.3

Aggression6.5

Utility2.4

Positioning4.9

Opening Duels3.3

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 79% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

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

Aim4.3

Positioning4.9

Utility2.4

Mechanics5.5

Opening Duels3.3

Win Impact6.7

Composite 4.5/10 (Developing), 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 rating0.04+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time627ms+19ms

first ⅓ avg 608ms → last ⅓ avg 627ms

Headshot accuracy9.5%+1.3%

first ⅓ avg 8.2% → last ⅓ avg 9.5%

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

0.15Best rating — dust2 13–6

13–0Biggest win — dust2

5Longest win streak

7–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 67% over 9officeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	49	23–26	47%	0.03
inferno	B	15	8–7	53%	0.03
mirage	S	9	6–3	67%	0.01
nuke	D	9	3–6	33%	-0.01
office	D	7	2–5	29%	0.02
train	—	3	0–3	0%	0.04
vertigo	—	2	1–1	50%	-0.01
overpass	—	2	1–1	50%	-0.01
cache	—	1	1–0	100%	0.10
ancient	—	1	1–0	100%	0.05
warden	—	1	1–0	100%	0.09
italy	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Lifetime stats

14,100Lifetime kills

0.97K/D

974Matches

37.9%Match win rate

30.3%Headshot %

6.9%Shot accuracy

1,500MVPs

322Hours (in match)

626Bombs planted

183Bombs defused

Most-used weapons

AK-474,701

M4A4 / M4A1-S3,283

AWP780

P2000 / USP-S654

Galil AR601

Glock-18555

Desert Eagle537

MP9494

P90306

XM1014287

Lifetime map wins

2,021dust2

1,569nuke

1,017inferno

473office

222vertigo

201train

79italy

52lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.9%Headshot accuracy

35.3%Accuracy (enemy spotted)

35.7%Spray accuracy

74.5%Counter-strafing

12.2°Preaim

631msReaction time

35.7%T opening success

50.5%CT opening success

0.40Enemies flashed / flash

2.6%Flash assists

10.11HE damage / grenade

3.68Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.152° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.8504% — below the 15% mark we flag
Aim Training →
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 0.4013 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	-0.03	19%	22 Aug →
vertigo	12–12	-0.05	4%	22 Aug →
dust2	4–13	-0.01	8%	3 Jul →
dust2	13–2	0.01	3%	3 Jul →
dust2	13–7	0.09	9%	24 Jun →
dust2	10–13	0.05	5%	23 May →
dust2	11–13	-0.02	27%	9 May →
mirage	13–7	0.14	11%	7 May →
dust2	11–13	0.02	7%	7 May →
cache	13–9	0.10	9%	5 May →
dust2	13–5	0.10	10%	5 May →
dust2	13–2	0.09	16%	29 Apr →
dust2	13–11	-0.00	6%	23 Apr →
dust2	13–7	0.06	6%	23 Apr →
dust2	11–13	0.01	3%	4 Apr →
dust2	9–13	-0.03	5%	26 Mar →
dust2	4–13	0.01	11%	26 Mar →
office	3–13	-0.01	15%	19 Mar →
dust2	13–1	0.08	10%	19 Mar →
dust2	9–13	0.02	10%	28 Feb →
mirage	13–4	0.01	5%	23 Feb →
dust2	13–11	0.04	7%	23 Feb →
dust2	13–5	0.04	7%	23 Feb →
dust2	8–13	-0.01	11%	22 Feb →
dust2	13–9	0.07	17%	22 Feb →
inferno	13–3	0.09	3%	22 Feb →
office	13–2	0.08	6%	22 Feb →
dust2	13–0	0.07	17%	22 Feb →
office	8–13	0.02	6%	19 Feb →
dust2	10–13	0.08	21%	19 Feb →
ancient	13–4	0.05	8%	19 Feb →
warden	13–3	0.09	9%	19 Feb →
dust2	8–13	-0.02	2%	17 Feb →
dust2	13–4	0.01	9%	13 Feb →
dust2	9–13	0.06	19%	12 Feb →
dust2	3–13	-0.01	11%	12 Feb →
dust2	12–12	0.03	13%	12 Feb →
dust2	6–13	0.11	5%	12 Feb →
dust2	7–13	0.02	4%	12 Feb →
nuke	10–13	0.01	14%	10 Feb →
inferno	13–1	0.08	2%	9 Feb →
dust2	13–8	0.13	13%	9 Feb →
dust2	11–13	0.01	15%	9 Feb →
office	8–13	-0.03	2%	7 Feb →
dust2	13–5	0.05	5%	7 Feb →
dust2	11–13	0.02	7%	7 Feb →
inferno	12–12	0.06	8%	4 Feb →
mirage	13–7	-0.03	6%	4 Feb →
inferno	5–13	-0.05	10%	2 Feb →
dust2	6–13	0.01	6%	30 Jan →
mirage	13–8	0.03	5%	30 Jan →
dust2	7–13	0.00	8%	30 Jan →
inferno	4–13	0.02	6%	25 Jan →
inferno	13–8	0.03	6%	25 Jan →
nuke	13–4	-0.06	6%	25 Jan →
inferno	11–13	-0.01	7%	25 Jan →
train	9–13	0.02	2%	21 Jan →
overpass	13–10	-0.03	10%	21 Jan →
nuke	5–13	0.03	7%	21 Jan →
office	6–13	-0.05	7%	18 Jan →
italy	11–2	0.04	14%	18 Jan →
train	7–13	0.08	6%	18 Jan →
dust2	2–13	0.00	24%	18 Jan →
inferno	13–6	0.02	10%	17 Jan →
dust2	13–9	0.01	8%	17 Jan →
dust2	13–10	0.05	6%	17 Jan →
dust2	13–6	0.15	13%	17 Jan →
nuke	6–13	-0.04	13%	13 Jan →
mirage	7–13	-0.03	2%	12 Jan →
inferno	8–13	0.09	9%	12 Jan →
dust2	12–12	-0.02	8%	12 Jan →
mirage	6–13	-0.01	15%	10 Jan →
dust2	13–3	0.09	9%	10 Jan →
inferno	13–10	-0.00	8%	5 Jan →
nuke	13–6	-0.03	9%	2 Jan →
inferno	13–10	-0.00	4%	28 Dec →
nuke	1–13	-0.05	9%	27 Dec →
inferno	11–13	0.03	8%	26 Dec →
dust2	9–13	-0.00	11%	25 Dec →
inferno	13–11	0.03	10%	25 Dec →
dust2	6–13	-0.09	7%	23 Dec →
dust2	6–7	0.03	7%	23 Dec →
dust2	13–11	0.07	10%	22 Dec →
office	8–13	-0.01	6%	22 Dec →
inferno	13–0	0.04	4%	22 Dec →
vertigo	13–3	0.02	7%	21 Dec →
mirage	13–11	-0.03	8%	19 Dec →
nuke	13–9	0.01	6%	19 Dec →
overpass	10–13	0.00	8%	13 Dec →
inferno	13–16	0.01	8%	13 Dec →
office	13–5	0.13	4%	12 Dec →
nuke	7–13	-0.03	7%	12 Dec →
mirage	13–11	-0.05	10%	22 Nov →
dust2	2–13	-0.08	14%	22 Nov →
nuke	4–13	0.08	7%	22 Nov →
dust2	13–9	-0.04	16%	22 Nov →
dust2	13–7	0.03	6%	22 Nov →
train	9–13	0.01	6%	22 Nov →
dust2	13–9	0.09	7%	22 Nov →
mirage	3–13	0.03	8%	22 Nov →