7Lars7 — CS2 Stats

76561198169265864[U:1:209000136]

1,475Tracked matches63%Win rate2020Tracked since

3,130Hours in CS8Hrs last 2 wks

CSDB Rating6.5 SolidPassive Rifler

Premier CS Rating21,879Top 50% of 819 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#7017 of 21897 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median
Headshot rate	61.2%	48.1%
Shot accuracy	19.7%	12.9%
Kill/death ratio	2.43	1.08
Match win rate	63.5%	46.5%

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Performance scores

Aim73

Positioning55

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY76–22–2Last 10076%Win rateLLLLLWLWWW

Last 10 vs previous 10: -40pp win rate · -0.00 avg rating

Player DNA

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

Aim7.3

Aggression4.1

Utility6.8

Positioning5.5

Opening Duels0.0

Clutch6.6

Strong CT-side openerEffective flashes

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 88% playstyle similarity

Most alike: utility contribution, 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 38% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.3

Positioning5.5

Utility6.8

Mechanics6.9

Opening Duels1.0

Win Impact9.4

Composite 6.5/10 (Solid), 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 rating0.01−0.06

first ⅓ avg 0.07 → last ⅓ avg 0.01

Reaction time621ms−1ms

first ⅓ avg 622ms → last ⅓ avg 621ms

Headshot accuracy22.6%−3.1%

first ⅓ avg 25.7% → last ⅓ avg 22.6%

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

0.27Best rating — inferno 6–0

13–0Biggest win — inferno

19Longest win streak

L5Current streak

5–0In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 93% over 14nukeWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	28	20–8	71%	0.04
dust2	S	23	18–5	78%	0.05
mirage	S	14	13–1	93%	0.08
anubis	S	12	9–3	75%	0.04
ancient	S	9	7–2	78%	0.00
cache	S	9	7–2	78%	0.03
nuke	C	5	2–3	40%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

179,775Lifetime kills

2.43K/D · Top 5% of Pink band

10,781Matches

63.5%Match win rate · Top 5% of Pink band

61.2%Headshot % · Top 10% of Pink band

19.7%Shot accuracy · Top 10% of Pink band

23,907MVPs

1,727Hours (in match)

7,408Bombs planted

1,315Bombs defused

Most-used weapons

AK-4750,422

M4A4 / M4A1-S21,105

SG 55320,863

AWP15,732

P2000 / USP-S8,625

Desert Eagle7,764

P2504,652

Galil AR4,542

AUG4,496

G3SG14,345

Lifetime map wins

7,571inferno

5,296dust2

1,965train

1,350nuke

920office

826vertigo

469lake

370italy

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

Faceit stats

Combat

125Matches

62%Win rate

1.36Avg K/D

85.5ADR

49%Headshot %

Clutches & streaks

53%1v1 clutch win

17%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	40	68%	1.40	18.9
Inferno	22	55%	1.45	16.2
Anubis	20	65%	1.17	15.0
Ancient	17	59%	1.44	16.5
Dust2	11	73%	1.53	18.7
Nuke	3	67%	0.98	17.0
Overpass	2	0%	0.78	14.0

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.

23.4%Headshot accuracy

31.0%Accuracy (enemy spotted)

36.9%Spray accuracy

81.0%Counter-strafing

8.7°Preaim

616msReaction time

20.7%T opening success

38.3%CT opening success

0.74Enemies flashed / flash

8.0%Flash assists

6.79HE damage / grenade

13.19Flashes / 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 20.694% — below the 40% mark we flag

Spend your practice time on Nuke

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	7–13	-0.02	31%	27 Aug →
dust2	9–13	0.02	25%	26 Aug →
nuke	6–13	-0.04	23%	26 Aug →
cache	7–13	-0.02	28%	20 Aug →
inferno	9–13	-0.01	34%	20 Aug →
cache	13–5	0.07	17%	20 Aug →
inferno	8–13	0.01	20%	15 Aug →
inferno	13–7	0.07	18%	14 Aug →
ancient	13–10	-0.00	18%	14 Aug →
anubis	13–5	0.03	29%	14 Aug →
inferno	13–5	0.01	22%	14 Aug →
cache	16–12	0.05	22%	14 Aug →
anubis	13–9	0.05	22%	14 Aug →
dust2	13–11	0.01	27%	14 Aug →
ancient	13–9	0.03	17%	12 Aug →
anubis	13–7	0.05	23%	12 Aug →
inferno	7–13	-0.01	35%	11 Aug →
anubis	13–5	0.03	25%	8 Aug →
inferno	0–7	-0.09	0%	8 Aug →
dust2	16–13	0.00	24%	8 Aug →
nuke	1–8	-0.01	8%	8 Aug →
anubis	4–13	0.03	21%	8 Aug →
cache	13–8	0.07	28%	8 Aug →
inferno	13–9	0.03	19%	8 Aug →
inferno	13–3	-0.00	19%	8 Aug →
dust2	13–9	-0.01	29%	7 Aug →
ancient	13–8	-0.00	19%	7 Aug →
ancient	13–10	0.00	24%	7 Aug →
cache	13–5	0.06	25%	7 Aug →
ancient	8–13	-0.08	25%	7 Aug →
inferno	5–9	0.04	26%	7 Aug →
anubis	6–13	-0.02	21%	7 Aug →
nuke	13–4	0.05	22%	7 Aug →
inferno	13–5	0.05	22%	7 Aug →
mirage	13–10	0.01	28%	5 Aug →
inferno	4–11	-0.08	6%	5 Aug →
anubis	13–5	-0.01	17%	5 Aug →
ancient	13–10	-0.02	33%	5 Aug →
mirage	13–4	0.10	22%	5 Aug →
anubis	13–11	0.07	15%	5 Aug →
anubis	13–6	0.16	28%	3 Aug →
dust2	13–3	0.09	20%	3 Aug →
inferno	13–0	0.10	25%	3 Aug →
inferno	13–2	0.03	11%	3 Aug →
dust2	13–11	0.01	29%	3 Aug →
inferno	13–4	0.09	23%	3 Aug →
inferno	13–8	0.04	20%	2 Aug →
ancient	13–2	0.07	29%	2 Aug →
mirage	13–1	0.07	20%	2 Aug →
inferno	13–5	0.06	31%	2 Aug →
dust2	15–15	0.04	25%	2 Aug →
mirage	13–3	0.13	23%	2 Aug →
ancient	13–3	0.06	23%	2 Aug →
dust2	13–0	0.10	23%	2 Aug →
anubis	13–4	0.04	8%	2 Aug →
mirage	13–4	0.07	15%	2 Aug →
inferno	13–1	0.11	23%	2 Aug →
inferno	13–5	0.07	17%	2 Aug →
mirage	13–2	0.05	22%	2 Aug →
inferno	13–7	0.05	17%	2 Aug →
cache	13–3	0.07	29%	2 Aug →
dust2	1–9	-0.05	0%	2 Aug →
cache	13–11	-0.02	26%	1 Aug →
dust2	2–13	-0.10	35%	1 Aug →
inferno	13–3	-0.01	24%	1 Aug →
mirage	13–7	0.07	19%	1 Aug →
cache	15–15	-0.00	16%	1 Aug →
dust2	9–1	0.17	43%	1 Aug →
inferno	13–4	0.12	25%	1 Aug →
dust2	3–13	-0.01	26%	1 Aug →
mirage	13–10	0.03	20%	1 Aug →
inferno	13–8	0.02	20%	1 Aug →
mirage	13–4	0.13	25%	1 Aug →
anubis	12–16	0.00	20%	1 Aug →
cache	13–5	0.01	14%	31 Jul →
dust2	13–8	0.10	35%	31 Jul →
dust2	13–5	0.05	16%	30 Jul →
mirage	13–5	0.19	19%	30 Jul →
dust2	13–7	-0.03	21%	30 Jul →
mirage	13–1	0.10	35%	30 Jul →
nuke	13–7	0.03	27%	30 Jul →
dust2	13–3	0.07	24%	30 Jul →
dust2	13–3	0.04	35%	29 Jul →
dust2	13–5	0.17	15%	29 Jul →
dust2	13–7	0.22	30%	27 Jul →
dust2	13–11	0.06	38%	27 Jul →
mirage	13–7	0.12	21%	27 Jul →
dust2	13–2	0.08	27%	27 Jul →
dust2	13–2	0.05	34%	26 Jul →
inferno	9–0	0.03	33%	26 Jul →
inferno	13–7	0.05	49%	26 Jul →
inferno	13–4	0.06	27%	26 Jul →
inferno	6–0	0.27	59%	26 Jul →
mirage	0–13	0.00	0%	26 Jul →
inferno	0–13	-0.02	0%	26 Jul →
nuke	0–13	-0.01	0%	26 Jul →
inferno	7–13	-0.01	27%	26 Jul →
mirage	13–7	0.09	23%	26 Jul →
anubis	16–12	0.07	25%	26 Jul →
dust2	13–9	0.09	35%	26 Jul →