LeaF — CS2 Stats

76561198226367412[U:1:266101684]Steam profile ↗✓ No bans

192Tracked matches53%Win rate2020Tracked since

1,307Hours in CS

CSDB Rating5.6 Solid

Ladder ranks via Leetify

Performance scores

Aim59

Positioning56

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWWWWLLLLL

Last 10 vs previous 10: -20pp win rate · -0.06 avg rating

Player DNA

Aim5.9

Aggression6.6

Utility5.6

Positioning5.6

Opening Duels1.4

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 NiKo 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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. 615ms 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

Aim5.9

Positioning5.6

Utility5.6

Mechanics7.4

Opening Duels1.4

Win Impact6.1

Composite 5.6/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time619ms+19ms

first ⅓ avg 600ms → last ⅓ avg 619ms

Headshot accuracy14.4%+0.1%

first ⅓ avg 14.3% → last ⅓ avg 14.4%

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

0.13Best rating — mirage 13–10

13–1Biggest win — mirage

5Longest win streak

8–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 66% over 29nukeWeakest map · 14% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	16–15	52%	0.01
mirage	S	29	19–10	66%	0.02
inferno	B	15	8–7	53%	0.00
nuke	D	14	2–12	14%	0.03
overpass	D	6	2–4	33%	0.03
anubis	—	3	0–3	0%	0.01
ancient	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,264Lifetime kills

1.10K/D · Top 50% of tracked players

3,545Matches

40.4%Match win rate

25.7%Headshot %

17.1%Shot accuracy · Top 25% of tracked players

7,619MVPs

1,307Hours (in match)

3,070Bombs planted

1,156Bombs defused

Most-used weapons

AK-4715,765

AWP14,413

Glock-1810,434

M4A4 / M4A1-S6,495

MAC-104,012

P2000 / USP-S3,313

Desert Eagle3,224

P902,237

AUG2,027

MP91,526

Lifetime map wins

6,402nuke

4,837dust2

1,461inferno

266vertigo

202train

183safehouse

144lake

81cbble

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.

14.5%Headshot accuracy

33.6%Accuracy (enemy spotted)

39.5%Spray accuracy

83.3%Counter-strafing

12.1°Preaim

615msReaction time

31.9%T opening success

38.9%CT opening success

0.65Enemies flashed / flash

5.2%Flash assists

12.42HE damage / grenade

9.21Flashes / 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 12.0515° — 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 14.4909% — below the 15% mark we flag
Aim Training →

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.

14% win rate across 14 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
anubis	12–16	0.02	16%	22 Jun →
mirage	13–8	-0.02	14%	14 May →
mirage	13–11	-0.09	6%	14 May →
overpass	13–11	0.03	12%	7 May →
inferno	13–7	-0.04	9%	6 May →
dust2	13–16	-0.00	9%	6 May →
inferno	11–13	-0.04	11%	2 May →
nuke	1–11	-0.02	8%	2 May →
dust2	8–13	-0.05	3%	1 May →
anubis	8–13	0.02	21%	1 May →
mirage	16–14	0.01	10%	29 Apr →
dust2	13–10	0.00	21%	29 Apr →
mirage	3–13	-0.00	19%	29 Apr →
mirage	13–5	0.09	11%	24 Apr →
nuke	13–8	0.10	23%	22 Apr →
mirage	7–13	0.03	23%	22 Apr →
dust2	8–13	0.02	21%	22 Apr →
mirage	7–13	0.02	21%	22 Apr →
dust2	13–8	0.08	21%	15 Apr →
mirage	13–10	0.10	18%	15 Apr →
dust2	13–9	0.08	11%	15 Apr →
mirage	13–6	0.08	19%	15 Apr →
mirage	13–7	-0.01	14%	15 Apr →
dust2	6–13	-0.01	18%	13 Apr →
overpass	11–13	-0.03	12%	13 Apr →
dust2	13–8	0.03	16%	13 Apr →
mirage	13–1	0.02	10%	12 Apr →
nuke	11–13	-0.04	8%	12 Apr →
inferno	13–9	0.02	14%	11 Apr →
dust2	8–13	-0.03	18%	10 Apr →
dust2	13–7	-0.05	17%	10 Apr →
mirage	6–13	-0.07	10%	10 Apr →
mirage	16–13	-0.00	9%	9 Apr →
dust2	13–10	0.01	7%	9 Apr →
dust2	13–10	0.04	4%	8 Apr →
mirage	13–8	0.02	8%	8 Apr →
dust2	11–13	0.05	5%	8 Apr →
nuke	13–16	0.05	21%	5 Apr →
ancient	13–6	-0.04	15%	5 Apr →
nuke	15–15	0.03	15%	4 Apr →
dust2	8–13	0.05	16%	4 Apr →
mirage	9–13	0.01	17%	4 Apr →
nuke	7–13	0.05	13%	3 Apr →
overpass	9–13	0.04	14%	3 Apr →
nuke	13–4	0.04	12%	3 Apr →
overpass	8–13	0.04	11%	2 Apr →
dust2	2–13	-0.07	21%	2 Apr →
mirage	13–11	0.06	24%	2 Apr →
dust2	11–13	0.03	15%	2 Apr →
mirage	13–10	0.08	18%	2 Apr →
mirage	1–13	-0.05	6%	1 Apr →
dust2	13–8	0.07	14%	1 Apr →
inferno	8–2	0.08	27%	1 Apr →
dust2	13–2	0.00	15%	1 Apr →
nuke	8–13	-0.01	16%	1 Apr →
dust2	13–11	-0.03	16%	30 Mar →
nuke	10–13	0.07	19%	30 Mar →
inferno	13–10	-0.00	18%	29 Mar →
mirage	13–9	-0.01	11%	28 Mar →
dust2	10–13	-0.03	8%	28 Mar →
inferno	13–5	0.01	9%	28 Mar →
inferno	14–16	0.01	8%	27 Mar →
ancient	8–13	-0.02	18%	27 Mar →
overpass	9–13	0.00	15%	27 Mar →
dust2	9–13	-0.04	20%	27 Mar →
mirage	6–12	-0.00	24%	8 Mar →
mirage	13–3	0.08	8%	6 Mar →
anubis	10–13	0.00	13%	5 Mar →
mirage	13–5	0.03	13%	3 Mar →
dust2	13–7	0.02	16%	1 Mar →
nuke	5–13	0.02	18%	26 Feb →
inferno	13–16	-0.01	14%	25 Feb →
dust2	13–5	0.03	35%	23 Feb →
dust2	13–9	0.08	12%	23 Feb →
inferno	11–13	-0.01	24%	23 Feb →
inferno	11–13	-0.01	10%	21 Feb →
mirage	7–1	-0.01	8%	21 Feb →
mirage	10–13	-0.07	20%	21 Feb →
dust2	7–13	0.00	20%	21 Feb →
overpass	13–4	0.07	11%	20 Feb →
inferno	13–11	-0.02	15%	20 Feb →
dust2	13–9	-0.03	11%	20 Feb →
dust2	5–13	-0.01	8%	19 Feb →
dust2	1–13	-0.07	11%	19 Feb →
nuke	15–15	0.05	13%	19 Feb →
dust2	13–10	0.01	13%	16 Feb →
mirage	16–13	0.02	15%	15 Feb →
nuke	9–13	0.05	14%	12 Feb →
nuke	10–13	0.05	14%	12 Feb →
dust2	10–13	0.02	11%	8 Feb →
inferno	13–11	0.03	10%	7 Feb →
inferno	13–8	0.01	17%	6 Feb →
mirage	2–13	-0.02	19%	6 Feb →
mirage	13–10	0.13	12%	5 Feb →
inferno	14–16	-0.03	14%	4 Feb →
mirage	13–11	0.03	3%	3 Feb →
inferno	11–13	0.08	10%	3 Feb →
dust2	13–6	0.08	19%	3 Feb →
mirage	8–13	0.08	23%	3 Feb →
nuke	10–13	0.03	8%	1 Feb →