Laurence Fishburne — CS2 Stats

76561198004769878[U:1:44504150]

1,692Tracked matches55%Win rate2020Tracked since

3,081Hours in CS39Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating21,350Top 50% of 29,473 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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	Red band median	vs Red band
Headshot rate	49.5%	47.1%	50.0%	meets
Shot accuracy	7.7%	12.8%	13.5%	5.8% short
Kill/death ratio	0.96	1.08	1.13	0.17 short
Match win rate	47.5%	46.6%	48.4%	meets

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim79

Positioning58

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY39–58–3Last 10039%Win rateLWWLLWWLWL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

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

Aim7.9

Aggression10.0

Utility6.2

Positioning5.8

Opening Duels4.6

Clutch5.4

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 device 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 →

CSDB Rating breakdown

Aim7.9

Positioning5.8

Utility6.2

Mechanics6.9

Opening Duels4.6

Win Impact6.7

Composite 6.8/10 (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+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time523ms−49ms

first ⅓ avg 572ms → last ⅓ avg 523ms

Headshot accuracy21.8%−1.0%

first ⅓ avg 22.8% → last ⅓ avg 21.8%

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

0.13Best rating — nuke 8–13

13–1Biggest win — cache

5Longest win streak

7–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 50% over 14boulderWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	19	7–12	37%	0.01
cache	B	17	8–9	47%	0.00
inferno	C	17	6–11	35%	-0.00
ancient	D	15	5–10	33%	0.00
anubis	B	14	7–7	50%	0.01
fachwerk	C	8	3–5	38%	0.02
boulder	D	5	1–4	20%	-0.02
shelter	—	2	1–1	50%	0.04
dust2	—	2	1–1	50%	0.01
overpass	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Lifetime stats

69,390Lifetime kills

0.96K/D

4,115Matches

47.5%Match win rate · Top 50% of Pink band

49.5%Headshot % · Top 50% of Pink band

7.7%Shot accuracy

10,208MVPs

1,678Hours (in match)

5,081Bombs planted

1,185Bombs defused

Most-used weapons

AK-4720,003

M4A4 / M4A1-S12,745

AWP7,515

P2000 / USP-S5,706

Glock-184,660

MAC-102,150

MP71,802

Desert Eagle1,584

P2501,422

Galil AR1,414

Lifetime map wins

8,080inferno

5,265dust2

4,348nuke

2,166vertigo

1,693train

844cbble

179lake

131shorttrain

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

Faceit stats

Combat

156Matches

54%Win rate

0.98Avg K/D

84.7ADR

43%Headshot %

Clutches & streaks

47%1v1 clutch win

40%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	13	77%	1.02	16.3
Anubis	9	67%	0.96	15.8
Vertigo	8	88%	1.34	17.6
Ancient	8	50%	0.82	13.5
Nuke	6	67%	1.91	15.2
Overpass	5	60%	0.83	16.6
Dust2	5	60%	1.64	19.8
Mirage	4	50%	1.04	14.8

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.

21.6%Headshot accuracy

33.5%Accuracy (enemy spotted)

34.4%Spray accuracy

81.0%Counter-strafing

8.8°Preaim

518msReaction time

46.4%T opening success

50.1%CT opening success

0.55Enemies flashed / flash

3.7%Flash assists

7.81HE damage / grenade

9.63Flashes / match

Recommended for you

Spend your practice time on Ancient

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	6–13	0.02	25%	29 Aug →
fachwerk	13–7	0.07	10%	29 Aug →
shelter	13–8	0.07	28%	29 Aug →
boulder	7–13	-0.03	22%	29 Aug →
fachwerk	10–13	-0.01	31%	28 Aug →
boulder	13–2	0.06	31%	28 Aug →
inferno	16–13	0.08	25%	28 Aug →
ancient	8–13	-0.02	21%	28 Aug →
ancient	13–11	0.08	25%	28 Aug →
cache	6–13	-0.04	16%	27 Aug →
cache	13–7	0.10	37%	27 Aug →
fachwerk	13–7	0.01	27%	27 Aug →
ancient	7–13	-0.11	20%	23 Aug →
cache	3–13	-0.02	6%	23 Aug →
inferno	22–20	0.00	20%	23 Aug →
anubis	11–13	-0.01	7%	22 Aug →
nuke	9–13	-0.05	18%	22 Aug →
cache	13–6	0.06	18%	22 Aug →
anubis	13–11	0.00	17%	22 Aug →
nuke	13–5	0.02	19%	21 Aug →
inferno	13–7	-0.04	27%	21 Aug →
anubis	13–5	0.01	17%	21 Aug →
anubis	9–13	-0.05	23%	21 Aug →
ancient	12–12	0.01	22%	21 Aug →
nuke	13–8	-0.00	10%	20 Aug →
nuke	13–6	0.12	27%	20 Aug →
anubis	13–4	0.09	26%	20 Aug →
inferno	14–16	-0.00	25%	20 Aug →
inferno	12–16	0.04	28%	19 Aug →
nuke	3–13	-0.05	16%	19 Aug →
ancient	13–6	0.03	19%	19 Aug →
cache	5–13	-0.01	26%	19 Aug →
inferno	6–13	-0.02	31%	19 Aug →
nuke	11–13	0.06	24%	19 Aug →
inferno	4–13	-0.01	28%	19 Aug →
ancient	14–16	0.05	29%	18 Aug →
inferno	7–13	0.02	22%	18 Aug →
anubis	13–10	0.03	10%	18 Aug →
anubis	9–13	0.03	27%	17 Aug →
ancient	2–13	-0.04	18%	17 Aug →
nuke	4–13	0.00	24%	17 Aug →
ancient	13–11	0.02	22%	16 Aug →
ancient	2–13	0.04	24%	16 Aug →
nuke	6–13	-0.07	5%	16 Aug →
cache	8–13	0.01	46%	16 Aug →
anubis	3–13	-0.02	20%	16 Aug →
anubis	5–13	0.03	15%	16 Aug →
inferno	13–8	0.07	9%	16 Aug →
nuke	8–13	0.13	29%	16 Aug →
anubis	8–13	-0.02	13%	14 Aug →
cache	13–8	0.05	33%	14 Aug →
inferno	4–13	-0.06	18%	14 Aug →
cache	13–1	0.06	19%	14 Aug →
anubis	13–7	0.04	38%	13 Aug →
inferno	11–13	-0.01	29%	13 Aug →
nuke	6–13	-0.03	21%	13 Aug →
nuke	10–13	0.03	30%	13 Aug →
dust2	13–11	-0.02	29%	9 Aug →
ancient	5–13	-0.05	18%	9 Aug →
inferno	13–8	-0.02	21%	9 Aug →
inferno	12–16	-0.04	15%	9 Aug →
cache	13–10	-0.04	27%	9 Aug →
cache	3–13	-0.12	10%	9 Aug →
nuke	10–13	0.05	32%	8 Aug →
anubis	13–9	-0.03	19%	8 Aug →
nuke	11–13	0.04	18%	8 Aug →
nuke	13–11	0.01	23%	8 Aug →
inferno	6–13	-0.07	21%	8 Aug →
anubis	5–13	0.05	34%	7 Aug →
ancient	11–13	0.01	17%	7 Aug →
ancient	13–8	0.00	25%	7 Aug →
inferno	13–8	0.08	19%	7 Aug →
cache	6–13	0.03	39%	18 Jul →
cache	16–12	-0.01	28%	18 Jul →
boulder	11–13	-0.01	16%	18 Jul →
boulder	12–12	-0.01	22%	18 Jul →
fachwerk	12–12	-0.01	34%	17 Jul →
cache	8–13	-0.04	31%	17 Jul →
fachwerk	11–13	0.03	22%	16 Jul →
inferno	9–13	0.01	25%	16 Jul →
boulder	3–13	-0.10	6%	16 Jul →
fachwerk	13–4	0.08	27%	15 Jul →
overpass	7–13	0.02	27%	15 Jul →
cache	13–10	0.01	15%	15 Jul →
fachwerk	9–13	-0.03	31%	14 Jul →
inferno	4–13	-0.06	35%	14 Jul →
ancient	5–13	-0.04	9%	14 Jul →
cache	10–13	-0.02	25%	14 Jul →
nuke	13–10	0.04	30%	14 Jul →
nuke	13–16	-0.06	14%	13 Jul →
nuke	13–11	-0.04	13%	13 Jul →
ancient	16–12	0.05	18%	13 Jul →
ancient	3–13	0.04	8%	12 Jul →
nuke	8–13	0.03	24%	12 Jul →
dust2	11–13	0.03	24%	12 Jul →
nuke	13–9	0.01	15%	12 Jul →
fachwerk	6–13	0.00	32%	11 Jul →
shelter	7–13	0.01	31%	11 Jul →
cache	13–5	0.01	18%	11 Jul →
anubis	13–9	-0.04	17%	11 Jul →