mackee — CS2 Stats

76561198119261685[U:1:158995957]

966Tracked matches50%Win rate2021Tracked since

1,726Hours in CS19Hrs last 2 wks

CSDB Rating6.4 SolidEntry Fragger

FaceitLevel 4 · 1,020 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median	Level 5 median	vs Level 5
Headshot rate	56.6%	42.5%	44.2%	above
Shot accuracy	12.2%	10.9%	11.2%	above
Kill/death ratio	0.77	0.99	1.04	0.26 short
Match win rate	38.0%	44.2%	45.3%	7.3% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim89

Positioning72

Utility46

0–100 skill scores via Leetify.

Recent form

COLD49–43–8Last 10049%Win rateTWLWTLLLTL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.9

Aggression10.0

Utility4.6

Positioning7.2

Opening Duels6.3

Clutch0.0

Sharp aimerStrong 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 s1mple 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 68% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim8.9

Positioning7.2

Utility4.6

Mechanics8.2

Opening Duels6.3

Win Impact5.0

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time570ms−119ms

first ⅓ avg 689ms → last ⅓ avg 570ms

Headshot accuracy31.2%+1.6%

first ⅓ avg 29.6% → last ⅓ avg 31.2%

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

0.16Best rating — ancient 13–10

13–1Biggest win — dust2

8Longest win streak

5–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 67% over 6trainWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	18	9–9	50%	0.03
dust2	C	17	7–10	41%	0.01
inferno	C	16	7–9	44%	0.01
vertigo	A	10	6–4	60%	0.01
anubis	D	7	2–5	29%	-0.02
nuke	A	7	4–3	57%	0.03
cache	S	6	4–2	67%	0.04
train	D	5	1–4	20%	-0.01
fachwerk	C	5	2–3	40%	0.01
boulder	—	4	3–1	75%	0.04
ancient	—	3	3–0	100%	0.13
overpass	—	1	1–0	100%	0.01
eldorado	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Lifetime stats

53,068Lifetime kills

0.77K/D

3,078Matches

38.0%Match win rate

56.6%Headshot % · Top 10% of Level 4 players

12.2%Shot accuracy · Top 50% of Level 4 players

4,651MVPs

1,060Hours (in match)

2,197Bombs planted

625Bombs defused

Most-used weapons

AK-4720,381

M4A4 / M4A1-S9,244

AWP8,930

Desert Eagle3,285

P2000 / USP-S2,136

Glock-181,837

Galil AR890

SSG 08824

MP9579

FAMAS508

Lifetime map wins

5,940dust2

2,347inferno

1,235nuke

681train

496vertigo

137lake

96bank

67cbble

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

Faceit stats

Combat

22Matches

41%Win rate

1.31Avg K/D

71.6ADR

48%Headshot %

Clutches & streaks

10%1v1 clutch win

46%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	71%	1.39	13.1
Ancient	3	0%	1.04	18.0
Nuke	3	0%	0.57	10.0
Inferno	1	100%	1.00	14.0
Dust2	1	0%	0.93	14.0
Overpass	1	0%	1.00	23.0
Train	1	100%	1.38	18.0

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.

31.4%Headshot accuracy

35.1%Accuracy (enemy spotted)

29.9%Spray accuracy

86.8%Counter-strafing

7.3°Preaim

578msReaction time

42.5%T opening success

67.7%CT opening success

0.64Enemies flashed / flash

10.3%Flash assists

10.81HE damage / grenade

4.26Flashes / match

Recommended for you

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
train	12–12	0.05	32%	28 Aug →
vertigo	13–8	-0.01	27%	28 Aug →
anubis	10–13	-0.03	33%	28 Aug →
nuke	13–6	0.01	28%	28 Aug →
mirage	12–12	0.00	53%	26 Aug →
mirage	1–13	-0.07	0%	25 Aug →
inferno	6–13	-0.00	33%	25 Aug →
fachwerk	9–13	-0.02	29%	24 Aug →
nuke	12–12	0.02	28%	24 Aug →
mirage	7–13	0.02	30%	24 Aug →
dust2	13–7	-0.02	37%	24 Aug →
inferno	4–9	-0.08	22%	24 Aug →
inferno	2–9	-0.05	25%	24 Aug →
cache	13–11	0.09	44%	23 Aug →
inferno	10–13	-0.06	18%	23 Aug →
mirage	13–4	0.04	25%	22 Aug →
fachwerk	12–12	0.01	18%	22 Aug →
vertigo	4–13	0.00	26%	22 Aug →
mirage	13–6	0.08	30%	22 Aug →
inferno	13–6	0.06	29%	22 Aug →
dust2	8–13	-0.09	63%	22 Aug →
boulder	13–6	0.01	25%	21 Aug →
mirage	7–13	-0.00	43%	21 Aug →
vertigo	12–12	-0.00	22%	21 Aug →
mirage	12–12	-0.01	29%	21 Aug →
inferno	13–7	0.05	44%	21 Aug →
ancient	13–4	0.10	50%	21 Aug →
train	10–13	-0.02	30%	21 Aug →
dust2	4–13	-0.03	29%	21 Aug →
dust2	10–13	-0.01	22%	17 Aug →
dust2	13–1	0.04	43%	17 Aug →
inferno	13–8	0.08	21%	16 Aug →
mirage	13–11	0.05	43%	16 Aug →
anubis	13–11	0.03	36%	15 Aug →
mirage	11–13	0.02	31%	12 Aug →
inferno	11–13	0.00	20%	11 Aug →
dust2	4–13	-0.01	31%	11 Aug →
ancient	13–6	0.12	28%	11 Aug →
dust2	13–8	0.06	36%	9 Aug →
cache	11–13	0.07	27%	9 Aug →
overpass	13–9	0.01	18%	4 Aug →
vertigo	13–4	0.05	25%	4 Aug →
dust2	7–13	0.04	40%	3 Aug →
mirage	11–13	-0.02	28%	3 Aug →
vertigo	13–6	0.07	20%	3 Aug →
inferno	13–9	0.02	30%	31 Jul →
mirage	13–6	0.10	48%	31 Jul →
dust2	13–3	0.06	29%	31 Jul →
cache	13–2	-0.01	18%	30 Jul →
train	13–8	0.04	32%	30 Jul →
vertigo	13–2	-0.02	33%	30 Jul →
inferno	13–10	-0.07	20%	29 Jul →
inferno	7–13	-0.07	23%	28 Jul →
mirage	13–1	0.08	38%	28 Jul →
anubis	9–13	-0.00	22%	28 Jul →
anubis	7–13	-0.02	32%	27 Jul →
mirage	13–9	0.13	19%	27 Jul →
dust2	6–2	0.15	36%	27 Jul →
boulder	10–13	0.01	35%	26 Jul →
train	4–13	-0.03	57%	26 Jul →
vertigo	13–10	-0.00	24%	26 Jul →
inferno	13–9	0.07	39%	26 Jul →
nuke	9–13	0.03	41%	25 Jul →
train	8–13	-0.06	27%	25 Jul →
mirage	13–2	0.13	30%	25 Jul →
vertigo	11–13	-0.01	19%	25 Jul →
anubis	4–13	-0.07	22%	25 Jul →
dust2	7–13	-0.02	31%	25 Jul →
fachwerk	10–13	-0.04	27%	24 Jul →
cache	13–2	0.06	42%	22 Jul →
inferno	13–9	0.09	19%	22 Jul →
dust2	7–13	-0.01	20%	22 Jul →
nuke	15–15	0.04	28%	22 Jul →
nuke	13–6	0.08	36%	22 Jul →
eldorado	3–9	-0.08	28%	21 Jul →
vertigo	7–13	-0.01	23%	21 Jul →
cache	13–16	-0.06	21%	20 Jul →
inferno	10–13	0.07	38%	19 Jul →
mirage	13–10	0.03	20%	19 Jul →
inferno	9–13	0.00	32%	19 Jul →
dust2	13–11	0.05	44%	19 Jul →
mirage	10–13	-0.04	32%	19 Jul →
dust2	13–7	0.05	29%	19 Jul →
anubis	4–13	-0.02	39%	19 Jul →
nuke	13–7	0.04	23%	18 Jul →
fachwerk	13–5	-0.02	21%	18 Jul →
vertigo	13–5	0.04	55%	18 Jul →
fachwerk	13–7	0.08	20%	18 Jul →
boulder	13–7	0.13	28%	18 Jul →
dust2	6–13	-0.01	28%	18 Jul →
mirage	13–3	0.05	33%	18 Jul →
cache	13–4	0.11	27%	17 Jul →
inferno	11–13	-0.02	17%	17 Jul →
boulder	13–11	-0.00	32%	17 Jul →
anubis	13–5	0.00	20%	17 Jul →
nuke	13–5	0.01	30%	17 Jul →
mirage	12–12	0.01	31%	17 Jul →
dust2	4–13	-0.03	41%	15 Jul →
dust2	5–13	-0.04	38%	15 Jul →
ancient	13–10	0.16	26%	15 Jul →