Benny Harvey RIP — CS2 Stats

76561198047439416[U:1:87173688]Steam profile ↗✓ No bans

1,106Tracked matches37%Win rate2020Tracked since

3,404Hours in CS

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating21,317Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)

CSDB Leaderboard#16882 of 54446 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 median	Level 6 median	vs Level 6
Headshot rate	47.1%	44.0%	44.7%	above
Shot accuracy	16.0%	11.6%	11.9%	above
Kill/death ratio	0.99	1.03	1.04	0.05 short
Match win rate	45.6%	45.1%	45.2%	meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim62

Positioning59

Utility54

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateWLLLLLLLWW

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

Player DNA

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

Aim6.2

Aggression7.7

Utility5.4

Positioning5.9

Opening Duels3.1

Strong CT-side openerLimited utility dependence

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 b1t 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 51% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim6.2

Positioning5.9

Utility5.4

Mechanics7.7

Opening Duels3.1

Win Impact0.6

Composite 5.5/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time632ms+8ms

first ⅓ avg 624ms → last ⅓ avg 632ms

Headshot accuracy13.2%−1.2%

first ⅓ avg 14.3% → last ⅓ avg 13.2%

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

0.18Best rating — mirage 13–2

13–2Biggest win — mirage

7Longest win streak

10–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 75% over 16infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	28	12–16	43%	0.01
cache	B	20	9–11	45%	0.00
nuke	S	16	12–4	75%	0.05
inferno	D	13	4–9	31%	-0.02
anubis	B	13	6–7	46%	0.01
overpass	—	4	3–1	75%	0.05
dust2	—	3	1–2	33%	-0.01
ancient	—	3	0–3	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

116,989Lifetime kills

0.99K/D

3,268Matches

45.6%Match win rate · Top 50% of Level 5 players

47.1%Headshot % · Top 50% of Level 5 players

16.0%Shot accuracy · Top 25% of Level 5 players

9,549MVPs

3,404Hours (in match)

3,891Bombs planted

1,032Bombs defused

Most-used weapons

AK-4758,648

M4A4 / M4A1-S23,296

AWP6,717

P2000 / USP-S4,057

Desert Eagle3,795

Glock-182,957

P2502,756

P901,559

Galil AR1,490

Five-SeveN1,375

Lifetime map wins

5,778dust2

4,385inferno

3,917nuke

1,028cbble

878train

610vertigo

31dust

19office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.2%Headshot accuracy

35.7%Accuracy (enemy spotted)

36.8%Spray accuracy

84.7%Counter-strafing

10.9°Preaim

626msReaction time

33.3%T opening success

51.4%CT opening success

0.60Enemies flashed / flash

9.7%Flash assists

7.92HE damage / grenade

3.56Flashes / 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 13.1779% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5595 — below the 4 mark we flag
Grenade Lineups →
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 33.305% — 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.

31% win rate across 13 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
nuke	13–7	0.11	18%	6 Aug →
inferno	4–13	-0.05	16%	6 Aug →
anubis	11–13	0.02	13%	5 Aug →
mirage	5–13	-0.05	14%	5 Aug →
mirage	10–13	0.00	14%	4 Aug →
cache	10–13	0.04	12%	4 Aug →
mirage	8–13	-0.02	8%	2 Aug →
anubis	11–13	0.00	9%	29 Jul →
mirage	13–5	0.04	12%	29 Jul →
inferno	13–5	-0.04	7%	28 Jul →
inferno	10–13	-0.04	23%	28 Jul →
mirage	4–13	0.02	26%	27 Jul →
inferno	6–13	0.01	22%	27 Jul →
cache	6–13	-0.00	9%	27 Jul →
mirage	6–13	-0.02	13%	27 Jul →
nuke	13–4	0.03	18%	27 Jul →
cache	13–9	0.04	16%	27 Jul →
cache	6–13	-0.05	11%	26 Jul →
mirage	3–13	-0.05	18%	26 Jul →
anubis	2–13	-0.04	5%	26 Jul →
cache	9–13	-0.04	14%	25 Jul →
anubis	10–13	0.02	11%	25 Jul →
nuke	13–10	0.06	12%	25 Jul →
mirage	13–11	-0.04	12%	25 Jul →
cache	6–13	-0.07	11%	23 Jul →
dust2	13–11	0.02	12%	23 Jul →
cache	13–7	0.08	17%	23 Jul →
nuke	2–0	0.12	0%	23 Jul →
mirage	13–11	-0.04	9%	23 Jul →
inferno	11–13	0.00	8%	23 Jul →
cache	13–11	0.05	15%	22 Jul →
inferno	10–13	-0.03	14%	22 Jul →
inferno	12–16	0.04	17%	21 Jul →
cache	7–13	-0.07	16%	20 Jul →
anubis	13–6	-0.03	11%	20 Jul →
cache	13–9	-0.05	15%	20 Jul →
inferno	13–10	-0.05	10%	19 Jul →
cache	13–9	0.07	22%	19 Jul →
nuke	13–5	0.04	17%	19 Jul →
mirage	13–8	0.01	16%	19 Jul →
anubis	13–8	0.04	7%	19 Jul →
mirage	11–13	-0.05	12%	19 Jul →
nuke	15–15	0.08	14%	17 Jul →
anubis	10–13	-0.03	12%	17 Jul →
mirage	13–8	0.06	26%	17 Jul →
mirage	13–5	-0.01	4%	17 Jul →
mirage	6–13	-0.05	5%	17 Jul →
cache	13–11	0.01	13%	16 Jul →
mirage	7–13	0.06	16%	16 Jul →
mirage	11–13	0.00	21%	16 Jul →
nuke	1–13	-0.04	17%	14 Jul →
cache	13–4	0.06	5%	14 Jul →
anubis	4–13	-0.05	20%	14 Jul →
anubis	13–8	0.05	9%	14 Jul →
mirage	13–7	0.04	11%	14 Jul →
anubis	13–9	0.04	14%	13 Jul →
inferno	13–3	-0.02	13%	13 Jul →
mirage	8–13	-0.04	14%	13 Jul →
ancient	2–13	-0.04	8%	13 Jul →
cache	11–13	0.01	13%	13 Jul →
cache	10–13	0.03	11%	13 Jul →
nuke	4–13	-0.01	11%	13 Jul →
dust2	15–15	-0.01	14%	12 Jul →
ancient	13–16	-0.04	10%	12 Jul →
mirage	16–13	0.02	6%	12 Jul →
nuke	13–4	-0.01	9%	12 Jul →
mirage	13–2	0.18	19%	12 Jul →
cache	10–13	-0.00	20%	12 Jul →
nuke	13–10	-0.02	9%	12 Jul →
inferno	11–13	-0.04	10%	12 Jul →
mirage	13–3	0.10	28%	12 Jul →
cache	0–13	-0.06	12%	11 Jul →
nuke	13–9	-0.00	14%	10 Jul →
anubis	9–13	-0.01	12%	10 Jul →
mirage	13–5	0.02	14%	10 Jul →
mirage	7–13	-0.06	15%	10 Jul →
cache	13–7	0.07	14%	10 Jul →
cache	3–13	-0.03	11%	10 Jul →
mirage	15–15	-0.01	11%	9 Jul →
cache	13–8	-0.02	15%	9 Jul →
dust2	7–13	-0.04	15%	6 Jul →
overpass	13–5	0.04	15%	6 Jul →
overpass	14–16	0.06	12%	6 Jul →
nuke	13–8	0.17	13%	6 Jul →
inferno	8–13	-0.06	5%	5 Jul →
mirage	16–14	0.01	24%	5 Jul →
overpass	13–3	0.08	7%	5 Jul →
nuke	10–13	0.02	13%	4 Jul →
nuke	16–14	0.10	14%	4 Jul →
ancient	2–13	-0.00	20%	4 Jul →
overpass	13–11	0.02	14%	2 Jul →
mirage	5–13	0.04	18%	1 Jul →
nuke	13–7	0.01	18%	1 Jul →
mirage	10–13	0.05	17%	30 Jun →
inferno	13–10	0.05	35%	30 Jun →
anubis	13–11	0.08	9%	29 Jun →
nuke	13–6	0.08	8%	29 Jun →
anubis	13–8	0.03	8%	28 Jun →
mirage	14–16	0.12	14%	28 Jun →
inferno	11–13	0.01	9%	26 Jun →