larre — CS2 Stats

76561199520826894[U:1:1560561166]Steam profile ↗✓ No bans

556Tracked matches50%Win rate2023Tracked since

CSDB Rating5.0 DevelopingPassive Rifler

Premier CS Rating21,774Top 50% of 819 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)

CSDB Leaderboard#5050 of 14656 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning43

Utility49

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateLLWLLWLLLL

Last 10 vs previous 10: -20pp win rate · -0.07 avg rating

Player DNA

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

Aim6.8

Aggression4.2

Utility4.9

Positioning4.3

Opening Duels0.1

Clutch6.0

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 →

CSDB Rating breakdown

Aim6.8

Positioning4.3

Utility4.9

Mechanics4.9

Opening Duels0.7

Win Impact5.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time514ms−89ms

first ⅓ avg 603ms → last ⅓ avg 514ms

Headshot accuracy15.0%−2.0%

first ⅓ avg 17.0% → last ⅓ avg 15.0%

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

0.24Best rating — anubis 13–3

13–0Biggest win — cache

10Longest win streak

L2Current streak

6–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 73% over 11infernoWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	16	6–10	38%	-0.03
inferno	C	14	5–9	36%	0.00
mirage	C	13	5–8	38%	-0.04
cache	C	12	5–7	42%	-0.01
anubis	S	11	8–3	73%	0.00
nuke	A	11	6–5	55%	0.00
ancient	S	11	8–3	73%	-0.02
vertigo	S	6	4–2	67%	0.03
overpass	—	4	3–1	75%	-0.01
eldorado	—	1	0–1	0%	-0.17
poseidon	—	1	1–0	100%	0.15

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

180Matches

47%Win rate

1.00Avg K/D

81.9ADR

35%Headshot %

Clutches & streaks

50%1v1 clutch win

22%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	60	50%	1.03	14.9
Dust2	34	53%	1.11	14.5
Anubis	25	48%	0.96	14.1
Inferno	18	33%	0.87	12.3
Ancient	17	53%	1.06	13.5
Nuke	13	31%	0.59	10.2
Vertigo	5	80%	1.62	19.8
Train	4	25%	0.64	10.0

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.

14.8%Headshot accuracy

31.0%Accuracy (enemy spotted)

32.1%Spray accuracy

72.0%Counter-strafing

6.9°Preaim

492msReaction time

35.4%T opening success

25.6%CT opening success

0.50Enemies flashed / flash

4.5%Flash assists

7.06HE damage / grenade

13.92Flashes / 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.

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 14.7839% — below the 15% mark we flag
Aim Training →
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 35.4218% — 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.

36% win rate across 14 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
cache	6–13	0.02	8%	28 Aug →
cache	9–13	-0.05	16%	27 Aug →
cache	13–11	-0.02	12%	27 Aug →
eldorado	2–9	-0.17	7%	25 Aug →
inferno	11–13	-0.01	9%	24 Aug →
anubis	13–8	-0.02	12%	24 Aug →
dust2	8–13	0.03	13%	23 Aug →
nuke	5–13	-0.11	25%	23 Aug →
overpass	0–9	-0.29	0%	23 Aug →
inferno	5–9	-0.08	11%	23 Aug →
mirage	8–13	-0.07	20%	21 Aug →
anubis	13–8	-0.04	11%	21 Aug →
ancient	6–13	-0.04	11%	21 Aug →
anubis	13–11	-0.09	14%	21 Aug →
cache	10–13	-0.05	20%	18 Aug →
dust2	13–11	0.05	26%	18 Aug →
cache	10–13	-0.03	20%	18 Aug →
vertigo	7–9	0.10	24%	17 Aug →
poseidon	9–0	0.15	26%	17 Aug →
nuke	3–13	0.03	24%	17 Aug →
cache	13–0	0.08	24%	17 Aug →
ancient	16–13	0.04	8%	15 Aug →
dust2	1–13	-0.14	11%	15 Aug →
dust2	16–12	-0.03	17%	14 Aug →
anubis	13–4	0.06	23%	13 Aug →
dust2	13–10	0.05	14%	13 Aug →
mirage	13–9	0.09	16%	13 Aug →
cache	2–13	-0.02	8%	13 Aug →
mirage	11–13	-0.05	15%	13 Aug →
nuke	13–10	0.09	14%	13 Aug →
anubis	13–10	0.03	16%	13 Aug →
nuke	4–9	-0.06	12%	13 Aug →
inferno	13–4	-0.05	7%	13 Aug →
inferno	10–13	0.04	10%	13 Aug →
ancient	13–10	0.02	5%	13 Aug →
inferno	9–13	0.03	18%	13 Aug →
anubis	9–13	-0.06	10%	12 Aug →
dust2	13–8	-0.06	22%	12 Aug →
inferno	13–10	-0.02	17%	12 Aug →
dust2	10–13	-0.08	4%	12 Aug →
nuke	16–14	-0.06	14%	12 Aug →
dust2	6–13	-0.05	8%	12 Aug →
inferno	5–13	0.01	8%	12 Aug →
ancient	13–10	-0.02	11%	12 Aug →
inferno	4–9	-0.05	17%	6 Aug →
vertigo	3–9	-0.13	5%	6 Aug →
inferno	9–4	0.23	32%	6 Aug →
vertigo	9–5	0.11	17%	6 Aug →
vertigo	9–5	0.06	31%	6 Aug →
nuke	9–6	0.03	17%	6 Aug →
overpass	9–3	-0.03	19%	6 Aug →
overpass	9–6	0.20	13%	6 Aug →
inferno	9–3	-0.03	18%	6 Aug →
overpass	9–3	0.07	38%	6 Aug →
vertigo	9–4	0.01	11%	6 Aug →
nuke	9–3	0.08	17%	5 Aug →
inferno	8–8	0.04	13%	5 Aug →
vertigo	9–6	0.01	38%	5 Aug →
anubis	13–7	0.01	12%	5 Aug →
inferno	8–13	-0.12	13%	5 Aug →
nuke	5–13	-0.07	10%	5 Aug →
dust2	13–7	-0.06	16%	3 Aug →
cache	8–13	-0.07	12%	3 Aug →
mirage	7–13	-0.05	39%	3 Aug →
cache	9–13	-0.06	12%	2 Aug →
dust2	2–13	-0.06	13%	1 Aug →
mirage	0–13	-0.12	8%	31 Jul →
ancient	5–13	-0.07	8%	30 Jul →
ancient	13–11	-0.04	13%	30 Jul →
mirage	15–15	-0.04	8%	29 Jul →
nuke	13–11	-0.02	26%	29 Jul →
inferno	13–4	0.09	31%	27 Jul →
anubis	13–3	0.24	31%	27 Jul →
nuke	9–13	0.07	24%	27 Jul →
mirage	13–9	-0.01	15%	27 Jul →
anubis	8–13	-0.05	16%	27 Jul →
cache	13–4	-0.02	3%	27 Jul →
ancient	13–9	-0.02	27%	27 Jul →
mirage	6–13	-0.08	18%	26 Jul →
ancient	13–8	0.00	11%	26 Jul →
dust2	5–13	0.01	15%	26 Jul →
mirage	16–13	-0.01	11%	26 Jul →
anubis	13–9	-0.00	13%	26 Jul →
dust2	3–13	-0.05	11%	25 Jul →
mirage	13–9	-0.06	16%	23 Jul →
ancient	13–4	-0.06	24%	23 Jul →
dust2	5–13	-0.03	10%	23 Jul →
dust2	1–13	-0.02	9%	23 Jul →
mirage	13–10	0.02	11%	23 Jul →
mirage	8–13	-0.04	47%	23 Jul →
nuke	13–10	0.04	31%	22 Jul →
cache	13–10	0.06	14%	22 Jul →
ancient	13–9	0.04	13%	22 Jul →
dust2	15–15	-0.06	17%	22 Jul →
cache	13–3	0.03	16%	22 Jul →
mirage	10–13	-0.05	11%	21 Jul →
inferno	11–13	-0.06	19%	21 Jul →
ancient	10–13	-0.08	9%	21 Jul →
anubis	9–13	-0.07	16%	20 Jul →
dust2	13–5	-0.01	19%	20 Jul →