ReaperAres — CS2 Stats

76561198117488353[U:1:157222625]

1,048Tracked matches41%Win rate2020Tracked since

2,538Hours in CS

CSDB Rating4.4 DevelopingPassive Rifler

Premier CS Rating10,340Blue band · top ~53.1% of ranked players (population est.)

CSDB Leaderboard#15483 of 21232 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning39

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateTWLLWWWWWL

Last 10 vs previous 10: +40pp win rate · -0.02 avg rating

Player DNA

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

Aim6.4

Aggression4.3

Utility5.3

Positioning3.9

Opening Duels0.5

Clutch2.6

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 NiKo 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms 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

Aim6.4

Positioning3.9

Utility5.3

Mechanics5.1

Opening Duels1.4

Win Impact1.9

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time636ms−35ms

first ⅓ avg 671ms → last ⅓ avg 636ms

Headshot accuracy19.9%−0.2%

first ⅓ avg 20.1% → last ⅓ avg 19.9%

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

0.14Best rating — overpass 13–5

13–2Biggest win — overpass

5Longest win streak

9–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 71% over 7ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	20	8–12	40%	-0.01
overpass	D	17	4–13	24%	-0.01
inferno	A	17	10–7	59%	-0.01
cache	D	12	4–8	33%	-0.01
nuke	A	11	6–5	55%	-0.03
mirage	S	7	5–2	71%	-0.02
ancient	D	6	1–5	17%	-0.03
anubis	—	3	0–3	0%	-0.03
train	—	3	1–2	33%	-0.05
office	—	2	1–1	50%	0.03
grail	—	2	0–2	0%	-0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

145,428Lifetime kills

1.02K/D

6,784Matches

32.9%Match win rate

44.3%Headshot %

19.7%Shot accuracy · Top 5% of tracked players

11,780MVPs

2,538Hours (in match)

2,278Bombs planted

891Bombs defused

Most-used weapons

AK-4739,676

M4A4 / M4A1-S28,411

AWP14,547

Desert Eagle6,469

P2000 / USP-S5,898

UMP-454,225

P904,122

Glock-183,905

Galil AR3,840

FAMAS3,538

Lifetime map wins

11,686dust2

6,219inferno

5,797office

4,506nuke

1,113vertigo

974train

664cbble

343lake

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

Faceit stats

Combat

484Matches

45%Win rate

1.01Avg K/D

67.9ADR

45%Headshot %

Clutches & streaks

33%1v1 clutch win

6%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	23	30%	0.80	13.3
Inferno	14	50%	0.76	11.9
Anubis	10	20%	0.72	11.0
Overpass	10	10%	0.87	13.4
Nuke	7	14%	0.71	12.6
Mirage	7	29%	0.74	11.3
Dust2	4	25%	0.66	10.3
Vertigo	3	67%	0.80	13.7

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.

19.7%Headshot accuracy

35.5%Accuracy (enemy spotted)

39.9%Spray accuracy

73.2%Counter-strafing

10.1°Preaim

643msReaction time

23.1%T opening success

41.0%CT opening success

0.51Enemies flashed / flash

6.5%Flash assists

10.23HE damage / grenade

9.21Flashes / 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 23.1427% — below the 40% mark we flag

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.

17% win rate across 6 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
office	12–12	0.04	13%	11 Jun →
office	13–3	0.03	24%	11 Jun →
overpass	7–13	-0.10	12%	11 Jun →
dust2	4–13	-0.07	23%	11 Jun →
nuke	16–14	0.00	17%	9 Jun →
cache	13–3	-0.05	13%	9 Jun →
inferno	16–13	-0.04	23%	13 May →
inferno	13–7	-0.01	29%	11 May →
nuke	13–3	0.01	14%	11 May →
dust2	4–13	0.00	22%	11 May →
inferno	9–13	-0.01	23%	10 May →
inferno	13–11	0.06	20%	7 May →
cache	13–6	0.00	21%	7 May →
cache	7–13	-0.01	25%	7 May →
ancient	8–13	-0.04	23%	7 May →
cache	3–13	0.03	30%	3 May →
cache	10–13	0.01	24%	3 May →
cache	3–13	-0.04	8%	2 May →
cache	5–13	-0.02	21%	2 May →
cache	12–12	0.01	18%	1 May →
cache	2–13	-0.06	11%	1 May →
cache	13–4	0.01	12%	1 May →
cache	13–7	0.03	13%	1 May →
cache	12–12	0.01	22%	29 Apr →
nuke	11–13	0.03	21%	24 Apr →
inferno	6–13	-0.07	17%	24 Apr →
nuke	10–13	-0.01	21%	24 Apr →
overpass	5–13	-0.05	31%	24 Apr →
nuke	2–13	-0.05	22%	23 Apr →
nuke	13–9	0.01	19%	23 Apr →
overpass	1–13	-0.08	21%	21 Apr →
nuke	13–7	-0.05	9%	21 Apr →
overpass	4–13	-0.03	38%	16 Apr →
overpass	14–16	0.04	22%	14 Apr →
dust2	11–13	0.01	17%	14 Apr →
overpass	13–2	0.01	16%	14 Apr →
dust2	2–13	-0.10	19%	10 Apr →
dust2	13–10	-0.02	24%	10 Apr →
dust2	13–9	-0.03	17%	10 Apr →
dust2	6–13	-0.06	7%	8 Apr →
overpass	2–13	-0.05	20%	8 Apr →
overpass	7–13	-0.03	31%	5 Apr →
inferno	13–4	0.02	26%	5 Apr →
dust2	7–13	-0.04	28%	5 Apr →
inferno	13–9	-0.01	21%	3 Apr →
overpass	10–13	-0.00	15%	3 Apr →
dust2	13–5	0.03	17%	2 Apr →
mirage	3–13	-0.06	21%	2 Apr →
inferno	13–7	0.04	21%	2 Apr →
overpass	4–13	0.01	30%	1 Apr →
dust2	11–5	-0.02	28%	1 Apr →
ancient	7–13	-0.04	10%	14 Mar →
inferno	3–13	-0.07	17%	7 Mar →
nuke	13–9	0.01	23%	7 Mar →
inferno	19–17	0.02	18%	5 Mar →
anubis	7–13	-0.07	30%	5 Mar →
dust2	13–11	0.12	19%	25 Feb →
overpass	13–5	0.14	34%	25 Feb →
dust2	7–13	-0.01	16%	25 Feb →
nuke	0–2	-0.09	0%	25 Feb →
ancient	11–13	-0.07	15%	25 Feb →
inferno	11–13	-0.08	23%	25 Feb →
inferno	8–13	-0.01	20%	14 Nov →
dust2	13–5	0.01	13%	14 Nov →
mirage	13–4	0.00	24%	14 Nov →
dust2	6–11	-0.03	19%	13 Nov →
train	13–8	0.03	11%	12 Nov →
ancient	13–11	-0.04	16%	12 Nov →
inferno	15–15	-0.06	9%	8 Nov →
inferno	13–7	-0.02	18%	8 Nov →
ancient	5–13	0.00	18%	5 Nov →
mirage	13–11	-0.05	30%	2 Nov →
overpass	4–13	-0.04	26%	26 Oct →
dust2	11–13	-0.01	22%	1 Oct →
dust2	12–16	0.02	44%	1 Oct →
overpass	13–2	0.06	16%	29 Sept →
overpass	4–13	0.03	20%	29 Sept →
inferno	13–8	-0.01	15%	18 Sept →
inferno	3–13	0.02	29%	18 Sept →
train	5–13	-0.10	18%	16 Sept →
overpass	16–14	0.00	20%	16 Sept →
mirage	13–11	0.00	21%	13 Sept →
dust2	9–2	0.05	19%	10 Sept →
mirage	7–13	-0.03	18%	9 Sept →
dust2	13–5	-0.02	18%	3 Sept →
mirage	13–5	0.04	23%	3 Sept →
anubis	12–12	0.01	23%	27 Aug →
nuke	2–0	-0.08	0%	27 Aug →
train	2–13	-0.07	14%	27 Aug →
ancient	10–13	0.03	25%	16 Jul →
overpass	4–13	-0.03	29%	16 Jul →
inferno	13–8	0.06	26%	16 Jul →
overpass	13–16	-0.03	23%	16 Jul →
grail	11–13	-0.08	14%	4 Jul →
grail	2–13	-0.14	17%	4 Jul →
mirage	13–9	-0.02	30%	17 May →
dust2	7–13	-0.05	16%	17 May →
anubis	15–15	-0.03	26%	11 May →
nuke	10–13	-0.06	10%	11 May →
dust2	15–15	0.00	13%	11 May →