LuNd9aard — CS2 Stats

76561198179542106[U:1:219276378]

1,695Tracked matches70%Win rate2020Tracked since

CSDB Rating7.0 StrongHybrid Rifler

FaceitLevel 10 · 2,492 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning59

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY58–36–6Last 10058%Win rateLWWTLWWLLL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.3

Aggression5.3

Utility6.1

Positioning5.9

Opening Duels2.0

Clutch3.8

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 NiKo 95% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 11.2° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 58% on CT to 19% 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

Aim8.3

Positioning5.9

Utility6.1

Mechanics6.9

Opening Duels3.5

Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.02−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time551ms−15ms

first ⅓ avg 566ms → last ⅓ avg 551ms

Headshot accuracy21.5%+1.6%

first ⅓ avg 19.9% → last ⅓ avg 21.5%

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

0.32Best rating — nuke 9–1

13–2Biggest win — mirage

6Longest win streak

13–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 71% over 7infernoWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
overpass	A	16	9–7	56%	0.01
nuke	A	13	8–5	62%	0.03
ancient	B	13	7–6	54%	-0.00
inferno	C	12	5–7	42%	0.01
mirage	S	7	5–2	71%	0.04
dust2	—	4	1–3	25%	-0.05
anubis	—	4	3–1	75%	0.00
train	—	4	4–0	100%	0.02
palais	—	3	2–1	67%	-0.01
vertigo	—	2	0–2	0%	-0.04
cache	—	2	1–1	50%	0.02
golden	—	2	1–1	50%	0.01
rooftop	—	2	2–0	100%	0.22
italy	—	2	1–1	50%	0.02
whistle	—	2	1–1	50%	0.10
office	—	2	2–0	100%	0.10
assembly	—	2	1–1	50%	0.02
poseidon	—	1	0–1	0%	0.09
sanctum	—	1	1–0	100%	-0.06
agency	—	1	0–1	0%	0.05
dogtown	—	1	0–1	0%	-0.15
brewery	—	1	1–0	100%	0.22
basalt	—	1	1–0	100%	0.03
thera	—	1	1–0	100%	0.13
mills	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,844Matches

55%Win rate

0.99Avg K/D

70.6ADR

47%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	135	64%	1.15	13.6
Nuke	95	63%	1.09	14.3
Overpass	51	67%	1.14	14.3
Anubis	49	53%	1.25	14.3
Inferno	49	53%	1.07	14.7
Dust2	28	43%	0.93	12.4
Train	24	62%	1.00	13.3
Mirage	23	52%	1.04	13.1

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.

21.3%Headshot accuracy

39.0%Accuracy (enemy spotted)

45.3%Spray accuracy

80.9%Counter-strafing

11.2°Preaim

550msReaction time

18.6%T opening success

57.6%CT opening success

0.58Enemies flashed / flash

9.4%Flash assists

7.97HE damage / grenade

12.14Flashes / 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
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 18.6117% — 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.

42% win rate across 12 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
vertigo	4–9	-0.06	13%	30 Aug →
nuke	13–7	0.07	36%	24 Jun →
cache	13–9	0.05	32%	23 Jun →
cache	12–12	-0.01	29%	23 Jun →
inferno	2–9	-0.07	24%	18 Jun →
mirage	16–14	0.00	19%	15 May →
overpass	13–5	0.10	20%	15 May →
mirage	8–13	-0.03	22%	15 May →
nuke	1–13	-0.08	8%	15 May →
dust2	0–13	-0.03	27%	15 May →
ancient	13–6	0.09	32%	6 Apr →
inferno	13–6	0.05	23%	6 Apr →
poseidon	8–8	0.09	18%	23 Feb →
sanctum	9–5	-0.06	21%	23 Feb →
overpass	3–13	-0.04	22%	17 Jan →
inferno	22–18	0.06	25%	6 Jan →
nuke	13–4	0.05	16%	6 Jan →
nuke	16–13	0.02	21%	3 Jan →
nuke	12–12	0.05	20%	30 Dec →
anubis	6–1	0.02	60%	30 Dec →
golden	13–4	0.02	12%	30 Dec →
nuke	6–13	-0.04	15%	23 Dec →
mirage	13–9	0.04	23%	20 Dec →
ancient	16–14	-0.00	16%	20 Dec →
mirage	11–13	-0.02	19%	20 Dec →
nuke	13–11	-0.02	20%	20 Dec →
golden	9–13	-0.00	11%	17 Dec →
agency	12–12	0.05	10%	15 Dec →
train	13–4	0.06	17%	15 Dec →
mirage	13–2	0.12	15%	13 Dec →
mirage	13–3	0.09	27%	3 Dec →
nuke	5–13	-0.04	12%	21 Nov →
inferno	13–6	0.07	24%	5 Nov →
dust2	13–9	-0.08	27%	3 Nov →
overpass	11–13	-0.10	15%	3 Nov →
overpass	13–6	-0.01	36%	3 Nov →
inferno	11–13	-0.01	32%	2 Nov →
overpass	13–6	0.08	18%	2 Nov →
inferno	14–16	0.01	22%	30 Oct →
dust2	12–16	-0.05	17%	30 Oct →
train	16–14	-0.05	20%	30 Oct →
rooftop	9–2	0.27	15%	19 Oct →
rooftop	9–7	0.17	14%	8 Oct →
dogtown	3–9	-0.15	17%	1 Oct →
train	13–3	0.06	10%	1 Sept →
train	13–10	0.01	13%	1 Sept →
overpass	13–6	-0.01	7%	1 Sept →
ancient	10–13	-0.02	16%	7 Aug →
ancient	9–13	0.00	9%	2 Aug →
brewery	9–0	0.22	24%	31 Jul →
overpass	13–11	0.02	16%	26 Jul →
ancient	13–11	0.04	20%	2 Jul →
anubis	13–11	0.05	16%	4 May →
ancient	13–10	-0.00	18%	16 Apr →
anubis	7–13	-0.04	30%	6 Apr →
overpass	11–13	0.03	18%	6 Apr →
palais	9–6	0.03	24%	23 Mar →
italy	2–13	-0.04	3%	15 Mar →
ancient	13–10	0.02	33%	15 Mar →
whistle	9–7	0.27	19%	14 Mar →
office	13–8	0.09	26%	11 Mar →
palais	8–8	-0.07	35%	8 Mar →
dust2	10–13	-0.02	21%	7 Mar →
ancient	11–13	-0.01	17%	23 Feb →
basalt	13–8	0.03	27%	19 Feb →
palais	9–7	-0.01	20%	19 Feb →
whistle	4–9	-0.06	19%	19 Feb →
ancient	13–5	-0.00	6%	19 Oct →
thera	13–4	0.13	25%	18 Oct →
mills	13–6	0.07	20%	18 Oct →
italy	13–9	0.09	18%	11 Oct →
nuke	9–6	0.01	14%	11 Oct →
overpass	9–6	0.13	29%	4 Oct →
overpass	8–8	-0.10	36%	3 Oct →
assembly	9–3	0.08	12%	3 Oct →
anubis	13–9	-0.02	23%	12 Jul →
inferno	9–7	-0.01	22%	27 Jun →
assembly	5–9	-0.04	19%	26 Jun →
nuke	9–1	0.32	24%	21 Jun →
overpass	5–9	0.01	31%	19 Jun →
office	13–8	0.11	23%	18 Jun →
inferno	9–4	-0.06	29%	18 May →
inferno	4–9	-0.09	18%	3 May →
ancient	5–13	-0.02	11%	2 May →
overpass	11–13	0.03	22%	13 Apr →
inferno	7–9	0.20	15%	6 Apr →
ancient	13–10	-0.03	14%	10 Mar →
inferno	11–13	-0.01	19%	10 Mar →
overpass	13–11	0.01	11%	10 Mar →
overpass	4–13	-0.07	40%	10 Mar →
nuke	16–14	0.04	21%	9 Mar →
ancient	5–13	-0.00	12%	9 Mar →
nuke	13–4	0.04	7%	7 Mar →
mirage	13–7	0.06	20%	5 Mar →
vertigo	14–16	-0.02	18%	3 Mar →
overpass	13–6	0.04	17%	2 Mar →
overpass	16–12	0.05	19%	2 Mar →
inferno	10–13	-0.01	6%	2 Mar →
ancient	5–13	-0.07	40%	2 Mar →
nuke	9–13	-0.07	19%	2 Mar →