Aperob — CS2 Stats

CD76561197998366753[U:1:38101025]Steam profile ↗✓ No bans

1,351Tracked matches57%Win rate2020Tracked since

CSDB Rating6.2 SolidHybrid Rifler

Premier CS Rating18,683Purple band · top ~13.7% of ranked players (population est.)

CSDB Leaderboard#18137 of 38902 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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

Aim69

Positioning54

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateWLWWLLLWWW

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.

Aim6.9

Aggression6.1

Utility6.0

Positioning5.4

Opening Duels2.1

Clutch0.4

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 Twistzz 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

T-side openings. Opening success drops from 52% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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

Aim6.9

Positioning5.4

Utility6.0

Mechanics7.6

Opening Duels2.7

Win Impact7.4

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time622ms−59ms

first ⅓ avg 681ms → last ⅓ avg 622ms

Headshot accuracy12.2%−1.6%

first ⅓ avg 13.8% → last ⅓ avg 12.2%

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

0.11Best rating — dust2 13–5

13–0Biggest win — cache

4Longest win streak

9–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 83% over 6anubisWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	15–14	52%	-0.00
nuke	B	21	10–11	48%	-0.01
anubis	C	12	5–7	42%	0.00
mirage	A	11	6–5	55%	-0.02
ancient	A	10	6–4	60%	0.00
cache	S	6	4–2	67%	0.01
inferno	S	6	5–1	83%	-0.00
vertigo	—	4	2–2	50%	-0.02
office	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches

56%Win rate

1.32Avg K/D

79.1ADR

35%Headshot %

Clutches & streaks

22%1v1 clutch win

33%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	0%	0.59	10.0
Mirage	2	100%	1.24	19.5
Anubis	2	50%	1.32	14.0
Nuke	1	100%	2.67	16.0
Ancient	1	100%	2.36	26.0

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.

12.9%Headshot accuracy

37.0%Accuracy (enemy spotted)

41.4%Spray accuracy

84.1%Counter-strafing

10.0°Preaim

623msReaction time

25.1%T opening success

51.6%CT opening success

0.65Enemies flashed / flash

7.1%Flash assists

7.65HE damage / grenade

11.12Flashes / 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 12.8951% — below the 15% mark we flag
Aim Training →
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 25.1131% — below the 40% mark we flag

Spend your practice time on Anubis

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–9	-0.03	9%	29 Aug →
dust2	4–13	-0.04	19%	29 Aug →
dust2	13–8	-0.00	9%	29 Aug →
nuke	13–7	-0.03	10%	29 Aug →
vertigo	9–13	-0.05	8%	28 Aug →
dust2	4–13	-0.02	21%	28 Aug →
anubis	11–13	0.00	12%	28 Aug →
nuke	13–6	-0.00	15%	28 Aug →
dust2	13–5	0.05	10%	28 Aug →
dust2	13–11	0.01	8%	27 Aug →
dust2	16–14	0.02	23%	25 Aug →
anubis	11–13	-0.04	16%	25 Aug →
ancient	10–13	0.05	12%	24 Aug →
nuke	9–13	-0.06	10%	24 Aug →
mirage	13–6	0.00	20%	24 Aug →
nuke	9–13	0.04	3%	23 Aug →
dust2	12–12	-0.04	13%	23 Aug →
anubis	13–7	0.03	16%	23 Aug →
ancient	13–9	0.01	14%	23 Aug →
nuke	6–3	-0.01	0%	23 Aug →
dust2	13–11	-0.03	12%	22 Aug →
ancient	4–13	-0.10	18%	21 Aug →
ancient	13–8	0.05	15%	19 Aug →
anubis	13–5	-0.00	10%	19 Aug →
mirage	2–13	-0.06	13%	19 Aug →
dust2	15–15	0.00	18%	16 Aug →
nuke	12–16	-0.02	10%	16 Aug →
ancient	9–13	-0.04	6%	16 Aug →
dust2	13–8	0.05	18%	9 Aug →
dust2	13–6	0.00	10%	9 Aug →
cache	8–13	-0.07	6%	9 Aug →
office	13–10	0.09	16%	8 Aug →
dust2	6–13	-0.06	2%	8 Aug →
vertigo	5–13	-0.00	24%	8 Aug →
anubis	9–13	0.02	12%	8 Aug →
inferno	3–13	-0.05	11%	8 Aug →
cache	13–4	0.04	25%	7 Aug →
ancient	13–9	0.03	23%	7 Aug →
dust2	1–13	-0.05	12%	3 Aug →
nuke	13–9	0.01	8%	3 Aug →
inferno	13–7	-0.05	9%	3 Aug →
mirage	13–5	-0.07	19%	3 Aug →
vertigo	13–8	0.03	7%	29 Jul →
nuke	8–13	0.02	11%	29 Jul →
mirage	5–13	-0.06	5%	29 Jul →
dust2	13–10	-0.00	11%	29 Jul →
nuke	16–14	-0.05	11%	28 Jul →
dust2	13–6	0.05	9%	28 Jul →
mirage	13–10	-0.02	7%	27 Jul →
dust2	15–15	0.01	13%	27 Jul →
ancient	13–8	0.03	17%	26 Jul →
anubis	9–13	0.01	20%	25 Jul →
dust2	9–13	-0.06	9%	25 Jul →
nuke	13–3	0.04	13%	25 Jul →
dust2	13–6	-0.00	16%	25 Jul →
cache	13–6	0.05	11%	25 Jul →
nuke	8–13	-0.01	9%	25 Jul →
dust2	9–13	-0.04	17%	24 Jul →
nuke	13–9	0.06	5%	24 Jul →
inferno	13–7	-0.01	14%	24 Jul →
nuke	13–2	-0.03	10%	24 Jul →
anubis	13–11	0.03	8%	24 Jul →
dust2	10–13	0.00	15%	23 Jul →
dust2	8–13	-0.03	15%	23 Jul →
ancient	0–6	-0.02	36%	23 Jul →
anubis	15–15	0.01	12%	19 Jul →
dust2	13–9	-0.06	9%	19 Jul →
nuke	13–11	0.08	14%	18 Jul →
dust2	9–13	-0.03	18%	18 Jul →
dust2	13–5	0.11	24%	18 Jul →
inferno	13–4	0.05	12%	18 Jul →
nuke	9–13	-0.06	12%	18 Jul →
nuke	8–13	-0.01	12%	18 Jul →
cache	16–14	0.02	12%	14 Jul →
dust2	13–10	0.02	9%	14 Jul →
nuke	13–16	-0.00	5%	13 Jul →
cache	13–0	0.01	4%	13 Jul →
mirage	11–13	-0.02	14%	12 Jul →
ancient	13–7	0.05	14%	12 Jul →
mirage	16–14	-0.01	13%	5 Jul →
mirage	16–14	0.03	17%	15 Jun →
inferno	13–8	-0.03	13%	29 May →
anubis	15–15	-0.02	15%	28 May →
inferno	13–4	0.05	19%	27 May →
nuke	6–13	-0.05	10%	26 May →
ancient	16–13	-0.02	15%	25 May →
cache	7–13	-0.01	16%	8 May →
dust2	13–10	-0.06	13%	8 May →
anubis	16–13	0.01	11%	6 May →
mirage	13–10	-0.01	17%	2 May →
mirage	10–13	-0.02	16%	1 May →
dust2	13–2	0.09	17%	1 May →
nuke	3–13	-0.09	18%	25 Apr →
anubis	13–7	-0.03	13%	25 Apr →
dust2	11–13	0.01	17%	19 Apr →
vertigo	13–9	-0.05	24%	20 Feb →
nuke	11–13	0.00	16%	20 Feb →
mirage	11–13	-0.02	6%	20 Feb →
dust2	3–13	-0.05	9%	16 Feb →
anubis	10–13	-0.01	10%	16 Feb →