LotusWarrior — CS2 Stats

76561197977558925[U:1:17293197]

2,599Tracked matches50%Win rate2020Tracked since

2,653Hours in CS

CSDB Rating5.2 DevelopingEntry Fragger

Premier CS Rating13,605Blue band · top ~35.8% of ranked players (population est.)

CSDB Leaderboard#11917 of 17551 tracked

FaceitLevel 5 · 1,028 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim49

Positioning62

Utility66

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateLLWWWWWLWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim4.9

Aggression8.9

Utility6.6

Positioning6.2

Opening Duels6.2

Clutch4.6

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 jL 85% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: higher opening-duel success; 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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 45% 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

Aim4.9

Positioning6.2

Utility6.6

Mechanics4.7

Opening Duels6.2

Win Impact5.0

Composite 5.2/10 (Developing), 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 time553ms−15ms

first ⅓ avg 568ms → last ⅓ avg 553ms

Headshot accuracy13.0%+1.2%

first ⅓ avg 11.8% → last ⅓ avg 13.0%

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

0.14Best rating — ancient 13–6

13–0Biggest win — mirage

5Longest win streak

L2Current streak

7–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 73% over 11dust2Weakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	19	11–8	58%	0.02
anubis	B	19	9–10	47%	-0.01
dust2	D	15	5–10	33%	-0.01
ancient	A	14	8–6	57%	0.02
cache	S	11	8–3	73%	0.01
nuke	C	9	4–5	44%	-0.01
mirage	A	9	5–4	56%	-0.01
vertigo	—	3	1–2	33%	-0.01
office	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,162Lifetime kills

0.90K/D

5,716Matches

44.6%Match win rate

35.3%Headshot %

9.3%Shot accuracy

11,118MVPs

2,653Hours (in match)

4,923Bombs planted

1,254Bombs defused

Most-used weapons

AK-4721,603

M4A4 / M4A1-S19,691

MAC-1010,495

MP95,476

P2000 / USP-S4,637

Glock-184,208

AUG3,047

MP73,017

AWP2,960

FAMAS2,336

Lifetime map wins

35,443inferno

4,051dust2

3,246office

3,053nuke

705vertigo

642train

262cbble

25lake

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

Faceit stats

Combat

2,240Matches

49%Win rate

0.95Avg K/D

83.8ADR

36%Headshot %

Clutches & streaks

43%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	380	64%	1.18	15.9
Mirage	224	43%	0.88	13.3
Ancient	205	43%	0.94	15.4
Anubis	191	50%	0.96	15.2
Dust2	188	40%	0.84	13.1
Nuke	172	46%	0.94	14.8
Overpass	31	29%	0.82	13.3
Vertigo	25	36%	0.95	15.7

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.

13.4%Headshot accuracy

34.3%Accuracy (enemy spotted)

34.8%Spray accuracy

71.1%Counter-strafing

12.7°Preaim

547msReaction time

45.3%T opening success

64.1%CT opening success

0.67Enemies flashed / flash

7.2%Flash assists

11.04HE damage / grenade

8.34Flashes / 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 12.6507° — 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 13.3629% — below the 15% mark we flag
Aim Training →

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	11–13	-0.07	9%	24 Aug →
dust2	4–13	0.01	14%	24 Aug →
ancient	13–9	0.05	16%	23 Aug →
ancient	13–8	-0.02	17%	22 Aug →
dust2	13–4	0.05	14%	22 Aug →
inferno	13–8	0.09	14%	22 Aug →
cache	13–8	0.04	13%	21 Aug →
vertigo	8–13	0.06	23%	21 Aug →
cache	13–9	0.01	8%	21 Aug →
anubis	13–9	0.05	12%	20 Aug →
ancient	7–13	-0.02	12%	17 Aug →
dust2	8–13	-0.05	18%	17 Aug →
ancient	11–13	0.05	12%	17 Aug →
dust2	13–2	-0.01	13%	12 Aug →
mirage	13–7	0.04	11%	10 Aug →
ancient	13–9	0.06	11%	10 Aug →
dust2	10–13	0.02	13%	7 Aug →
nuke	11–13	-0.02	10%	7 Aug →
vertigo	6–13	-0.05	14%	6 Aug →
cache	10–13	-0.01	14%	6 Aug →
ancient	4–10	-0.00	11%	6 Aug →
inferno	13–8	0.09	10%	5 Aug →
inferno	13–4	0.00	10%	5 Aug →
anubis	8–13	-0.01	15%	5 Aug →
dust2	8–13	0.01	19%	4 Aug →
dust2	9–13	0.03	11%	4 Aug →
nuke	13–7	0.00	6%	4 Aug →
inferno	13–6	0.13	19%	4 Aug →
dust2	6–13	0.00	15%	3 Aug →
inferno	13–4	0.04	18%	3 Aug →
dust2	13–5	-0.04	9%	3 Aug →
anubis	13–16	0.00	7%	31 Jul →
inferno	0–5	-0.04	10%	31 Jul →
anubis	6–13	-0.07	9%	31 Jul →
ancient	8–13	0.03	6%	29 Jul →
cache	13–10	0.03	19%	29 Jul →
ancient	2–13	-0.06	14%	29 Jul →
anubis	9–13	-0.06	12%	29 Jul →
inferno	13–11	-0.00	10%	29 Jul →
dust2	4–13	-0.04	8%	29 Jul →
vertigo	13–10	-0.04	12%	29 Jul →
nuke	8–13	-0.06	38%	28 Jul →
inferno	13–8	0.07	13%	28 Jul →
ancient	13–9	-0.03	11%	27 Jul →
inferno	7–13	-0.02	13%	26 Jul →
nuke	16–13	0.01	20%	25 Jul →
mirage	6–13	-0.04	6%	24 Jul →
cache	11–13	-0.02	25%	24 Jul →
cache	13–5	0.04	9%	23 Jul →
mirage	9–13	-0.04	19%	23 Jul →
dust2	15–15	-0.04	10%	22 Jul →
nuke	6–13	-0.07	15%	22 Jul →
inferno	13–9	0.00	14%	22 Jul →
mirage	9–13	-0.04	17%	22 Jul →
anubis	13–11	0.01	7%	22 Jul →
mirage	13–0	0.03	12%	21 Jul →
cache	13–3	0.03	35%	21 Jul →
ancient	4–13	0.02	15%	20 Jul →
anubis	13–5	0.07	3%	20 Jul →
dust2	13–10	0.03	15%	20 Jul →
cache	8–13	-0.08	16%	19 Jul →
mirage	13–11	-0.04	11%	19 Jul →
anubis	13–7	0.02	12%	19 Jul →
inferno	7–13	0.01	20%	19 Jul →
inferno	13–10	0.07	8%	18 Jul →
mirage	13–8	-0.00	13%	18 Jul →
cache	13–8	0.02	17%	18 Jul →
anubis	14–16	-0.02	9%	16 Jul →
inferno	13–11	-0.01	16%	16 Jul →
anubis	13–10	0.04	12%	15 Jul →
anubis	13–8	-0.01	9%	15 Jul →
anubis	14–16	0.01	16%	15 Jul →
inferno	13–16	-0.05	10%	14 Jul →
dust2	10–13	-0.02	16%	14 Jul →
inferno	11–13	0.04	10%	14 Jul →
dust2	6–13	-0.08	26%	14 Jul →
ancient	13–7	-0.00	6%	14 Jul →
ancient	13–6	0.14	20%	13 Jul →
anubis	17–19	-0.05	9%	13 Jul →
nuke	10–13	0.05	15%	13 Jul →
anubis	3–13	-0.08	5%	12 Jul →
dust2	13–10	0.02	12%	11 Jul →
cache	13–6	0.02	20%	10 Jul →
inferno	9–13	-0.01	13%	10 Jul →
ancient	13–5	0.03	10%	10 Jul →
anubis	13–11	-0.05	13%	8 Jul →
ancient	13–4	-0.03	11%	8 Jul →
nuke	19–15	-0.02	7%	8 Jul →
anubis	8–13	-0.01	8%	8 Jul →
office	12–12	0.03	9%	8 Jul →
inferno	13–16	-0.03	10%	7 Jul →
mirage	8–13	-0.03	14%	7 Jul →
anubis	13–10	-0.01	14%	7 Jul →
anubis	13–11	-0.01	9%	6 Jul →
nuke	13–11	0.05	15%	6 Jul →
anubis	4–6	0.00	0%	6 Jul →
mirage	13–6	0.05	9%	6 Jul →
inferno	6–13	-0.00	10%	6 Jul →
inferno	13–4	0.06	9%	6 Jul →
cache	13–3	0.00	17%	5 Jul →