Lemon Weapon — CS2 Stats

76561198142492602[U:1:182226874]Steam profile ↗✓ No bans

1,137Tracked matches67%Win rate2020Tracked since

2,841Hours in CS20Hrs last 2 wks

CSDB Rating8.2 StrongAggressive Rifler

Premier CS Rating27,473Top 10% of 819 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)

CSDB Leaderboard#729 of 21174 tracked

FaceitLevel 8 · 1,584 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning72

Utility55

0–100 skill scores via Leetify.

Recent form

HOT64–35–1Last 10064%Win rateWWLWWLWWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim9.2

Aggression10.0

Utility5.5

Positioning7.2

Opening Duels5.8

Clutch1.4

Sharp aimerStrong 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 donk 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

CT openings. 63% 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 63% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.2

Positioning7.2

Utility5.5

Mechanics7.8

Opening Duels5.8

Win Impact10.0

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time487ms−59ms

first ⅓ avg 546ms → last ⅓ avg 487ms

Headshot accuracy17.6%−3.0%

first ⅓ avg 20.6% → last ⅓ avg 17.6%

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

0.22Best rating — cache 13–1

13–0Biggest win — ancient

6Longest win streak

W2Current streak

7–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 75% over 8mirageWeakest map · 50% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	20	14–6	70%	0.03
mirage	B	20	10–10	50%	0.02
ancient	S	17	12–5	71%	0.03
cache	S	13	9–4	69%	0.05
inferno	B	12	6–6	50%	0.02
anubis	S	8	6–2	75%	0.04
nuke	A	7	4–3	57%	0.01
train	—	2	2–0	100%	0.09
vertigo	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,660Lifetime kills

1.26K/D · Top 25% of tracked players

4,056Matches

42.5%Match win rate

41.6%Headshot %

13.7%Shot accuracy · Top 50% of tracked players

9,667MVPs

2,116Hours (in match)

4,463Bombs planted

1,465Bombs defused

Most-used weapons

AK-4735,461

M4A4 / M4A1-S17,926

AWP17,093

P2000 / USP-S5,846

Desert Eagle4,774

Glock-182,984

P2502,835

Tec-91,517

FAMAS1,400

Galil AR1,358

Lifetime map wins

9,618inferno

7,024dust2

2,348nuke

1,791train

1,064cbble

245vertigo

29office

22assault

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

Faceit stats

Combat

237Matches

56%Win rate

1.53Avg K/D

87.1ADR

43%Headshot %

Clutches & streaks

27%1v1 clutch win

32%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	16	38%	1.10	17.1
Anubis	11	64%	1.45	19.3
Dust2	11	73%	1.25	18.1
Ancient	9	44%	1.02	17.2
Inferno	7	71%	1.48	18.9
Cache	5	60%	1.40	20.4
Nuke	3	67%	1.13	15.0
Vertigo	1	100%	1.92	25.0

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.

18.4%Headshot accuracy

40.9%Accuracy (enemy spotted)

43.0%Spray accuracy

85.2%Counter-strafing

7.9°Preaim

498msReaction time

42.7%T opening success

63.4%CT opening success

0.50Enemies flashed / flash

5.1%Flash assists

8.34HE damage / grenade

10.45Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	-0.01	34%	24 Aug →
ancient	13–5	0.05	24%	24 Aug →
mirage	10–13	0.08	25%	24 Aug →
cache	13–9	0.01	20%	22 Aug →
ancient	13–3	-0.02	19%	22 Aug →
dust2	13–16	0.07	16%	22 Aug →
mirage	13–1	0.05	23%	22 Aug →
inferno	2–0	0.00	0%	22 Aug →
ancient	13–3	0.13	28%	22 Aug →
nuke	3–13	0.00	13%	22 Aug →
mirage	7–13	-0.05	14%	22 Aug →
mirage	0–3	-0.01	0%	22 Aug →
inferno	13–9	0.01	15%	19 Aug →
mirage	13–16	-0.04	10%	19 Aug →
mirage	13–11	0.02	18%	19 Aug →
mirage	11–13	0.03	18%	15 Aug →
anubis	13–6	0.03	27%	15 Aug →
mirage	13–3	0.06	17%	15 Aug →
ancient	9–13	-0.00	13%	15 Aug →
cache	16–13	0.06	24%	15 Aug →
dust2	13–6	0.01	28%	15 Aug →
cache	13–3	0.00	20%	15 Aug →
cache	13–7	0.07	24%	15 Aug →
nuke	13–5	0.05	9%	13 Aug →
mirage	13–10	0.05	8%	13 Aug →
mirage	8–13	0.06	25%	13 Aug →
dust2	13–9	0.06	10%	12 Aug →
mirage	9–13	0.05	14%	12 Aug →
cache	13–5	0.08	22%	12 Aug →
dust2	13–11	0.02	14%	9 Aug →
anubis	11–13	0.01	14%	9 Aug →
anubis	13–8	0.07	19%	9 Aug →
mirage	8–13	0.02	19%	7 Aug →
cache	13–6	0.05	33%	7 Aug →
ancient	13–5	0.04	21%	7 Aug →
cache	13–1	0.03	33%	7 Aug →
dust2	1–13	0.03	16%	7 Aug →
nuke	13–9	-0.01	16%	7 Aug →
anubis	13–8	0.07	13%	4 Aug →
cache	8–13	-0.04	10%	4 Aug →
ancient	8–13	-0.08	9%	4 Aug →
dust2	8–13	-0.02	11%	2 Aug →
dust2	13–11	0.01	25%	2 Aug →
dust2	13–11	0.04	23%	2 Aug →
mirage	13–3	0.01	23%	29 Jul →
inferno	13–8	0.04	17%	25 Jul →
ancient	11–13	0.04	22%	25 Jul →
inferno	8–13	-0.03	15%	25 Jul →
nuke	13–6	0.02	25%	25 Jul →
mirage	13–4	0.05	33%	25 Jul →
mirage	3–13	-0.06	14%	20 Jul →
inferno	9–13	0.04	22%	18 Jul →
dust2	6–13	0.01	29%	18 Jul →
ancient	1–13	-0.06	17%	18 Jul →
mirage	13–10	0.04	20%	18 Jul →
ancient	8–13	0.02	15%	18 Jul →
anubis	13–2	0.07	21%	18 Jul →
dust2	13–6	-0.10	11%	18 Jul →
mirage	13–3	0.01	23%	18 Jul →
ancient	13–0	0.01	33%	18 Jul →
cache	14–16	0.05	18%	18 Jul →
cache	2–13	-0.06	10%	16 Jul →
inferno	5–13	-0.03	26%	16 Jul →
train	13–10	0.01	22%	16 Jul →
ancient	13–9	0.01	28%	15 Jul →
ancient	13–7	0.08	36%	15 Jul →
dust2	13–5	-0.00	32%	15 Jul →
anubis	13–9	-0.02	13%	13 Jul →
ancient	13–6	0.03	7%	13 Jul →
inferno	6–13	0.02	21%	13 Jul →
cache	13–6	0.09	11%	11 Jul →
mirage	13–5	0.01	16%	11 Jul →
anubis	13–5	0.10	24%	11 Jul →
mirage	4–13	-0.06	17%	11 Jul →
dust2	13–6	0.06	25%	11 Jul →
dust2	13–11	0.04	19%	11 Jul →
inferno	13–10	0.02	19%	9 Jul →
dust2	13–11	0.03	20%	9 Jul →
cache	13–1	0.22	23%	9 Jul →
anubis	8–13	-0.02	24%	5 Jul →
inferno	13–1	0.07	26%	5 Jul →
cache	12–12	0.07	16%	5 Jul →
dust2	7–13	0.01	37%	2 Jul →
inferno	10–13	0.07	19%	2 Jul →
ancient	13–1	0.03	16%	2 Jul →
train	13–0	0.16	18%	1 Jul →
mirage	13–9	0.02	32%	1 Jul →
ancient	13–0	0.07	30%	1 Jul →
dust2	13–7	0.12	16%	1 Jul →
dust2	9–13	0.07	31%	27 Jun →
inferno	11–13	0.01	23%	27 Jun →
nuke	14–16	0.04	23%	27 Jun →
nuke	13–9	-0.01	17%	27 Jun →
ancient	13–2	0.12	24%	25 Jun →
vertigo	13–9	0.08	23%	25 Jun →
dust2	13–5	0.02	20%	25 Jun →
nuke	10–13	-0.03	18%	23 Jun →
ancient	13–9	0.02	23%	23 Jun →
inferno	13–10	0.01	18%	23 Jun →
dust2	13–4	0.11	16%	23 Jun →