Lightning Lemur — CS2 Stats

US76561197972134749[U:1:11869021]Steam profile ↗✓ No bans

4,015Tracked matches45%Win rate2021Tracked since

CSDB Rating3.5 Learning

Premier CS Rating18,737Purple band · top ~13.5% of ranked players (population est.)

CSDB Leaderboard#7279 of 14085 tracked

FaceitLevel 4 · 1,295 ELOTop 81.0% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim36

Positioning49

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLWLWWLLWLT

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim3.6

Aggression6.1

Utility3.6

Positioning4.9

Opening Duels3.3

Clutch4.4

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 ropz 77% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower 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

Areas to improve

T-side openings. Opening success drops from 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6

Positioning4.9

Utility3.6

Mechanics1.4

Opening Duels3.3

Win Impact3.3

Composite 3.5/10 (Learning), 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 rating-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time554ms+22ms

first ⅓ avg 531ms → last ⅓ avg 554ms

Headshot accuracy15.3%−0.1%

first ⅓ avg 15.4% → last ⅓ avg 15.3%

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 — office 6–13

13–3Biggest win — cache

5Longest win streak

6–3In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	-0.04
nuke	B	14	7–7	50%	-0.04
dust2	D	14	4–10	29%	-0.04
anubis	A	11	7–4	64%	-0.02
ancient	C	11	4–7	36%	-0.04
cache	S	9	6–3	67%	-0.04
inferno	D	8	2–6	25%	-0.01
office	D	7	2–5	29%	0.03
vertigo	—	3	0–3	0%	0.02
train	—	1	0–1	0%	0.03
shelter	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

165Matches

50%Win rate

0.77Avg K/D

69.5ADR

47%Headshot %

Clutches & streaks

42%1v1 clutch win

13%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	46	54%	0.74	11.5
Inferno	25	44%	0.72	11.9
Mirage	23	48%	0.77	12.3
Ancient	22	55%	0.89	14.1
Nuke	17	41%	0.81	13.6
Dust2	12	67%	0.71	12.9
Train	9	56%	0.85	11.8
Vertigo	6	33%	0.84	13.7

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.

15.2%Headshot accuracy

29.1%Accuracy (enemy spotted)

32.4%Spray accuracy

56.3%Counter-strafing

11.2°Preaim

540msReaction time

35.2%T opening success

51.0%CT opening success

0.43Enemies flashed / flash

1.1%Flash assists

8.32HE damage / grenade

2.79Flashes / 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 0.4307 — 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 35.2% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	9–13	-0.02	10%	28 Aug →
nuke	13–9	-0.05	13%	28 Aug →
inferno	10–13	0.01	11%	28 Aug →
anubis	13–11	0.08	9%	28 Aug →
nuke	13–6	0.01	10%	28 Aug →
dust2	9–13	-0.07	13%	28 Aug →
dust2	8–13	0.03	24%	28 Aug →
dust2	13–4	-0.07	20%	28 Aug →
nuke	2–9	-0.20	29%	28 Aug →
office	12–12	0.00	17%	28 Aug →
cache	13–3	-0.03	10%	28 Aug →
ancient	13–4	0.12	13%	28 Aug →
anubis	16–13	-0.04	12%	27 Aug →
ancient	13–5	0.00	8%	27 Aug →
nuke	9–13	-0.05	11%	27 Aug →
nuke	5–13	-0.02	20%	27 Aug →
nuke	5–13	-0.04	30%	26 Aug →
mirage	8–13	-0.08	18%	26 Aug →
nuke	3–13	-0.05	13%	26 Aug →
ancient	4–13	-0.04	18%	26 Aug →
mirage	13–7	0.00	14%	26 Aug →
mirage	10–13	-0.09	25%	25 Aug →
dust2	13–5	-0.04	18%	25 Aug →
inferno	8–13	-0.05	11%	25 Aug →
anubis	10–13	-0.03	14%	25 Aug →
vertigo	5–13	-0.03	12%	25 Aug →
cache	5–13	-0.04	21%	25 Aug →
mirage	13–4	-0.00	8%	24 Aug →
dust2	7–13	-0.07	33%	24 Aug →
cache	16–14	-0.05	13%	24 Aug →
mirage	13–9	-0.02	13%	24 Aug →
dust2	15–15	-0.05	8%	24 Aug →
office	13–7	0.02	9%	24 Aug →
mirage	3–13	-0.05	23%	24 Aug →
inferno	6–13	0.03	21%	24 Aug →
ancient	10–13	-0.06	13%	23 Aug →
mirage	10–13	-0.04	22%	23 Aug →
mirage	10–13	-0.02	18%	22 Aug →
ancient	5–13	-0.05	10%	22 Aug →
dust2	6–13	-0.10	13%	22 Aug →
mirage	8–13	-0.05	31%	22 Aug →
anubis	16–13	-0.03	15%	22 Aug →
office	9–13	0.05	12%	22 Aug →
train	6–13	0.03	11%	22 Aug →
dust2	6–13	-0.06	19%	22 Aug →
inferno	13–9	-0.03	24%	22 Aug →
nuke	13–4	-0.04	19%	22 Aug →
anubis	13–10	-0.01	10%	21 Aug →
nuke	13–10	0.01	13%	21 Aug →
ancient	7–13	-0.10	24%	21 Aug →
mirage	13–11	-0.04	7%	21 Aug →
cache	13–11	-0.06	14%	21 Aug →
inferno	16–13	-0.01	19%	21 Aug →
ancient	13–5	-0.04	10%	21 Aug →
mirage	13–6	-0.02	23%	21 Aug →
cache	8–13	-0.01	14%	21 Aug →
dust2	6–13	0.02	17%	21 Aug →
mirage	16–12	-0.03	21%	20 Aug →
anubis	13–7	-0.01	14%	20 Aug →
mirage	11–13	-0.05	6%	20 Aug →
anubis	2–13	-0.01	13%	19 Aug →
mirage	16–14	-0.10	9%	19 Aug →
cache	13–7	-0.05	16%	19 Aug →
mirage	1–13	-0.09	5%	19 Aug →
ancient	14–16	-0.03	23%	19 Aug →
mirage	13–5	-0.03	14%	19 Aug →
dust2	5–13	-0.06	27%	19 Aug →
nuke	13–9	0.01	22%	19 Aug →
anubis	5–13	-0.02	19%	18 Aug →
dust2	13–9	-0.03	11%	18 Aug →
ancient	0–13	-0.10	0%	18 Aug →
cache	13–9	-0.04	12%	18 Aug →
inferno	15–15	-0.03	15%	18 Aug →
nuke	13–4	-0.01	17%	18 Aug →
mirage	15–15	0.00	12%	18 Aug →
office	12–12	-0.04	4%	18 Aug →
shelter	10–2	0.09	27%	18 Aug →
nuke	7–13	-0.07	24%	18 Aug →
office	13–10	0.00	13%	18 Aug →
dust2	13–8	0.01	14%	17 Aug →
inferno	10–13	0.02	17%	17 Aug →
mirage	13–5	-0.08	13%	17 Aug →
dust2	9–13	-0.05	19%	17 Aug →
ancient	7–13	-0.07	9%	17 Aug →
office	6–13	0.14	13%	17 Aug →
nuke	13–9	-0.05	9%	17 Aug →
cache	13–11	-0.04	23%	17 Aug →
anubis	16–13	-0.06	10%	17 Aug →
dust2	7–13	-0.00	17%	16 Aug →
mirage	5–13	-0.04	16%	16 Aug →
mirage	13–3	-0.05	9%	16 Aug →
nuke	6–13	-0.03	14%	15 Aug →
cache	6–13	-0.07	16%	15 Aug →
mirage	8–13	-0.04	14%	15 Aug →
anubis	13–9	-0.07	27%	15 Aug →
vertigo	8–13	0.02	13%	15 Aug →
office	12–12	0.04	19%	15 Aug →
inferno	14–16	-0.05	11%	15 Aug →
ancient	13–4	-0.06	31%	14 Aug →
vertigo	10–13	0.06	19%	14 Aug →