LABRUN YAMES — CS2 Stats

US76561198186889855[U:1:226624127]Steam profile ↗

1,960Tracked matches44%Win rate2020Tracked since

4,263Hours in CS17Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating25,000Top 25% of 819 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#785 of 5280 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

Rating over time

25,000Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 25,000
Next: Gold band at 30,000 — 5,000 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	Level 10 median	vs Level 10
Headshot rate	31.7%	52.8%	21.1% short
Shot accuracy	16.1%	13.7%	above
Kill/death ratio	1.15	1.08	above
Match win rate	38.8%	49.2%	10.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim81

Positioning77

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateLWTLTWWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression9.1

Utility4.8

Positioning7.7

Opening Duels3.9

Clutch0.0

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 donk 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 53% on CT to 38% 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

Aim8.1

Positioning7.7

Utility4.8

Mechanics5.0

Opening Duels3.9

Win Impact3.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time521ms+4ms

first ⅓ avg 517ms → last ⅓ avg 521ms

Headshot accuracy21.0%−1.3%

first ⅓ avg 22.2% → last ⅓ avg 21.0%

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 — vertigo 9–0

13–2Biggest win — inferno

9Longest win streak

5–2In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 53% over 15officeWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	11–10	52%	0.04
dust2	C	16	6–10	38%	0.06
inferno	B	16	8–8	50%	0.01
cache	B	15	8–7	53%	0.04
office	D	9	3–6	33%	0.02
nuke	B	6	3–3	50%	0.03
ancient	—	4	1–3	25%	0.03
vertigo	—	4	3–1	75%	0.15
train	—	3	0–3	0%	0.02
anubis	—	3	1–2	33%	0.03
eldorado	—	1	0–1	0%	0.03
debris	—	1	0–1	0%	-0.06
poseidon	—	1	0–1	0%	-0.16

Across the last 100 tracked matches.

Lifetime stats

162,432Lifetime kills

1.15K/D · Top 50% of tracked players

6,644Matches

38.8%Match win rate

31.7%Headshot %

16.1%Shot accuracy · Top 25% of tracked players

15,916MVPs

2,745Hours (in match)

5,475Bombs planted

1,755Bombs defused

Most-used weapons

AWP56,154

AK-4742,949

M4A4 / M4A1-S20,957

P2000 / USP-S7,472

Glock-185,278

Desert Eagle3,821

P2503,601

UMP-452,194

MAC-102,085

FAMAS2,067

Lifetime map wins

12,791dust2

7,580inferno

3,543nuke

2,558train

1,644vertigo

1,168cbble

396office

121lake

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

Faceit stats

Combat

135Matches

51%Win rate

1.28Avg K/D

103.6ADR

31%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	2	0%	1.20	17.5
Mirage	1	100%	1.65	28.0
Anubis	1	0%	1.40	21.0
Ancient	1	0%	0.85	11.0

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.

23.1%Headshot accuracy

38.3%Accuracy (enemy spotted)

38.0%Spray accuracy

72.3%Counter-strafing

9.7°Preaim

522msReaction time

37.7%T opening success

53.3%CT opening success

0.53Enemies flashed / flash

6.4%Flash assists

5.35HE damage / grenade

11.95Flashes / 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 37.7419% — below the 40% mark we flag

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.

38% win rate across 16 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
train	9–13	-0.06	21%	27 Aug →
dust2	13–7	0.05	23%	27 Aug →
office	12–12	0.06	16%	27 Aug →
dust2	5–13	0.10	24%	27 Aug →
mirage	15–15	0.08	20%	27 Aug →
inferno	2–5	-0.13	0%	27 Aug →
nuke	13–9	0.11	26%	27 Aug →
cache	13–5	0.03	17%	27 Aug →
ancient	9–13	0.02	11%	27 Aug →
train	9–13	0.04	38%	19 Aug →
cache	13–16	-0.01	20%	19 Aug →
inferno	16–14	0.04	22%	18 Aug →
anubis	13–16	0.05	21%	18 Aug →
mirage	4–13	0.05	27%	18 Aug →
inferno	4–13	-0.03	39%	18 Aug →
inferno	6–9	-0.10	15%	18 Aug →
cache	13–11	0.07	34%	17 Aug →
dust2	6–13	-0.09	13%	17 Aug →
mirage	13–7	0.08	30%	17 Aug →
nuke	8–8	0.11	16%	12 Aug →
inferno	9–5	-0.14	7%	12 Aug →
vertigo	9–5	0.19	21%	12 Aug →
inferno	10–13	0.02	15%	12 Aug →
office	8–13	-0.02	23%	5 Aug →
eldorado	5–9	0.03	26%	5 Aug →
debris	3–9	-0.06	20%	5 Aug →
nuke	1–9	-0.23	9%	5 Aug →
office	8–13	0.03	23%	5 Aug →
mirage	13–11	0.02	21%	5 Aug →
mirage	13–7	0.16	24%	5 Aug →
dust2	13–9	0.10	9%	5 Aug →
nuke	13–7	0.07	48%	5 Aug →
mirage	13–5	0.06	13%	4 Aug →
mirage	15–15	0.11	32%	4 Aug →
dust2	8–13	0.05	15%	2 Aug →
ancient	8–13	-0.01	16%	2 Aug →
cache	11–13	0.03	40%	2 Aug →
vertigo	9–0	0.24	29%	2 Aug →
vertigo	12–12	0.04	19%	30 Jul →
mirage	8–13	-0.03	23%	30 Jul →
office	13–11	-0.03	21%	30 Jul →
mirage	13–10	0.03	22%	30 Jul →
dust2	9–13	0.03	19%	30 Jul →
cache	11–13	0.14	22%	30 Jul →
inferno	8–8	0.03	24%	30 Jul →
office	6–13	0.02	16%	29 Jul →
mirage	5–13	0.00	17%	29 Jul →
ancient	13–3	0.15	26%	29 Jul →
train	10–13	0.07	10%	29 Jul →
inferno	4–13	0.02	26%	29 Jul →
poseidon	2–9	-0.16	19%	29 Jul →
vertigo	9–3	0.16	24%	29 Jul →
nuke	9–4	0.13	14%	29 Jul →
inferno	9–3	0.06	20%	29 Jul →
office	2–13	0.08	24%	29 Jul →
nuke	8–13	-0.01	33%	29 Jul →
dust2	13–10	0.09	17%	29 Jul →
inferno	7–13	-0.03	25%	29 Jul →
mirage	12–12	-0.05	17%	24 Jul →
inferno	6–13	-0.02	21%	24 Jul →
mirage	9–13	0.00	22%	24 Jul →
cache	13–7	0.05	20%	24 Jul →
mirage	13–7	0.13	32%	24 Jul →
dust2	4–13	0.03	44%	23 Jul →
dust2	6–13	0.01	14%	23 Jul →
mirage	10–13	-0.01	17%	23 Jul →
inferno	13–2	0.09	29%	23 Jul →
anubis	3–13	0.04	20%	23 Jul →
dust2	3–13	-0.02	15%	23 Jul →
office	3–13	0.02	28%	23 Jul →
cache	1–13	-0.07	24%	23 Jul →
inferno	3–13	0.05	22%	23 Jul →
cache	13–8	-0.05	11%	23 Jul →
mirage	10–13	0.05	19%	23 Jul →
cache	13–8	0.10	33%	23 Jul →
mirage	9–13	0.04	24%	23 Jul →
dust2	13–3	0.15	48%	23 Jul →
inferno	13–10	0.07	12%	22 Jul →
cache	10–13	0.08	27%	22 Jul →
office	13–10	-0.03	11%	22 Jul →
office	13–5	0.07	20%	22 Jul →
dust2	10–13	0.08	23%	22 Jul →
cache	12–12	0.02	9%	22 Jul →
inferno	13–6	0.14	26%	22 Jul →
anubis	13–11	-0.00	19%	22 Jul →
dust2	9–13	-0.02	21%	22 Jul →
dust2	9–13	0.04	25%	18 Jul →
mirage	13–9	-0.01	13%	18 Jul →
mirage	13–5	0.10	16%	18 Jul →
cache	13–9	-0.01	36%	18 Jul →
cache	13–5	0.18	28%	18 Jul →
cache	13–7	0.03	12%	18 Jul →
mirage	13–3	-0.03	8%	17 Jul →
mirage	13–6	0.07	26%	17 Jul →
inferno	13–5	0.11	28%	17 Jul →
dust2	13–3	0.15	29%	17 Jul →
ancient	6–13	-0.04	21%	17 Jul →
mirage	13–3	0.06	24%	17 Jul →
dust2	13–7	0.17	31%	16 Jul →
cache	4–13	0.02	27%	16 Jul →