opie — CS2 Stats

HK76561198071297650[U:1:111031922]Steam profile ↗✓ No bans

2,386Tracked matches52%Win rate2020Tracked since

CSDB Rating4.9 Developing

Premier CS Rating22,079Top 50% of 819 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)

CSDB Leaderboard#6561 of 21222 tracked

FaceitLevel 6 · 1,343 ELOTop 54.0% of ranked FACEIT players

WingmanSilver IV

Ladder ranks via Leetify

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Performance scores

Aim47

Positioning50

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY39–57–4Last 10039%Win rateWLWLLTWLLW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim4.7

Aggression6.0

Utility5.5

Positioning5.0

Opening Duels2.0

Clutch5.0

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-duel success, 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 47% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim4.7

Positioning5.0

Utility5.5

Mechanics5.4

Opening Duels2.1

Win Impact5.6

Composite 4.9/10 (Developing), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time603ms−34ms

first ⅓ avg 637ms → last ⅓ avg 603ms

Headshot accuracy11.9%−1.6%

first ⅓ avg 13.5% → last ⅓ avg 11.9%

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

0.19Best rating — shelter 13–3

13–1Biggest win — mirage

5Longest win streak

4–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 50% over 20dust2Weakest map · 26% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	23	6–17	26%	0.03
mirage	B	20	10–10	50%	0.01
nuke	C	18	7–11	39%	0.02
inferno	D	11	3–8	27%	0.00
anubis	B	11	5–6	45%	0.02
cache	C	9	4–5	44%	0.00
train	—	2	1–1	50%	-0.03
vertigo	—	2	1–1	50%	0.04
ancient	—	2	1–1	50%	0.00
shelter	—	1	1–0	100%	0.19
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (26% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

84Matches

54%Win rate

1.21Avg K/D

87.6ADR

33%Headshot %

Clutches & streaks

45%1v1 clutch win

34%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	22	55%	1.16	17.3
Mirage	20	50%	1.23	15.7
Inferno	11	73%	1.23	15.8
Train	9	67%	1.43	17.9
Nuke	9	44%	1.17	18.1
Ancient	7	29%	1.05	17.6
Overpass	3	100%	1.80	26.0
Anubis	1	0%	1.06	17.0

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.

11.6%Headshot accuracy

31.6%Accuracy (enemy spotted)

31.6%Spray accuracy

74.2%Counter-strafing

9.8°Preaim

595msReaction time

29.7%T opening success

46.6%CT opening success

0.58Enemies flashed / flash

6.2%Flash assists

10.83HE damage / grenade

8.00Flashes / 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 11.5619% — 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 29.6637% — below the 40% mark we flag

Spend your practice time on Dust 2

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

26% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–11	0.02	14%	22 Aug →
dust2	9–13	0.07	11%	21 Aug →
cache	13–5	-0.05	9%	21 Aug →
dust2	8–13	-0.00	9%	21 Aug →
nuke	3–13	-0.02	18%	21 Aug →
dust2	15–15	0.04	13%	18 Aug →
dust2	13–6	0.15	9%	18 Aug →
dust2	11–13	-0.06	9%	18 Aug →
inferno	6–13	-0.03	13%	18 Aug →
anubis	13–5	0.02	8%	18 Aug →
dust2	2–13	-0.02	10%	18 Aug →
shelter	13–3	0.19	17%	18 Aug →
mirage	13–5	-0.01	21%	18 Aug →
cache	13–4	-0.03	17%	18 Aug →
train	13–9	-0.04	17%	16 Aug →
train	11–13	-0.02	18%	16 Aug →
mirage	13–6	0.02	12%	16 Aug →
mirage	9–13	-0.06	8%	14 Aug →
nuke	5–13	-0.00	15%	14 Aug →
nuke	9–13	0.08	10%	10 Aug →
anubis	9–13	-0.00	6%	10 Aug →
dust2	16–13	-0.02	9%	10 Aug →
mirage	8–13	-0.02	8%	10 Aug →
mirage	13–1	0.01	7%	10 Aug →
inferno	16–12	-0.01	10%	5 Aug →
cache	13–3	0.02	0%	5 Aug →
nuke	7–13	-0.03	8%	4 Aug →
anubis	13–4	-0.00	21%	4 Aug →
nuke	10–13	0.01	13%	4 Aug →
anubis	13–3	-0.01	10%	4 Aug →
dust2	13–9	0.09	20%	4 Aug →
vertigo	13–3	0.08	19%	1 Aug →
vertigo	7–13	0.00	6%	1 Aug →
mirage	4–13	0.01	18%	1 Aug →
inferno	12–16	-0.05	20%	1 Aug →
inferno	13–9	0.06	11%	30 Jul →
mirage	13–7	0.03	19%	30 Jul →
dust2	8–13	0.10	17%	30 Jul →
dust2	4–13	-0.03	37%	29 Jul →
cache	3–13	-0.03	17%	29 Jul →
dust2	6–13	-0.02	9%	29 Jul →
dust2	10–13	0.14	15%	29 Jul →
nuke	13–10	0.05	20%	29 Jul →
dust2	5–13	0.03	19%	28 Jul →
mirage	9–13	0.01	9%	28 Jul →
nuke	13–6	0.07	13%	28 Jul →
mirage	13–8	0.07	10%	28 Jul →
anubis	9–13	0.06	9%	28 Jul →
inferno	13–16	0.05	10%	28 Jul →
mirage	13–4	0.09	20%	28 Jul →
dust2	4–13	0.02	18%	28 Jul →
dust2	13–7	0.03	16%	27 Jul →
dust2	12–12	0.09	15%	26 Jul →
mirage	7–13	0.05	8%	26 Jul →
anubis	15–15	0.05	15%	26 Jul →
mirage	11–13	-0.02	16%	26 Jul →
nuke	11–13	-0.05	15%	26 Jul →
anubis	5–13	0.01	6%	23 Jul →
inferno	3–13	-0.02	9%	23 Jul →
inferno	4–13	0.01	14%	23 Jul →
nuke	3–13	0.00	16%	23 Jul →
nuke	13–3	0.14	7%	23 Jul →
anubis	11–13	0.05	14%	22 Jul →
nuke	7–13	0.07	11%	22 Jul →
mirage	13–8	-0.04	11%	22 Jul →
nuke	6–13	-0.04	28%	22 Jul →
inferno	9–13	-0.05	16%	22 Jul →
mirage	4–13	0.05	9%	22 Jul →
cache	8–13	0.04	15%	22 Jul →
cache	11–13	0.05	10%	21 Jul →
inferno	9–13	0.05	16%	21 Jul →
anubis	13–6	0.12	13%	21 Jul →
inferno	11–13	0.01	11%	21 Jul →
mirage	15–15	0.02	12%	20 Jul →
mirage	11–13	-0.05	21%	20 Jul →
dust2	10–13	-0.02	16%	20 Jul →
nuke	13–10	-0.04	9%	20 Jul →
dust2	13–7	0.19	12%	20 Jul →
anubis	13–6	0.03	18%	20 Jul →
mirage	13–11	0.09	13%	20 Jul →
nuke	2–13	0.03	15%	20 Jul →
ancient	13–8	-0.01	16%	15 Jul →
dust2	5–13	-0.06	28%	15 Jul →
cache	16–13	0.01	8%	13 Jul →
dust2	2–13	-0.04	15%	13 Jul →
mirage	13–9	-0.03	29%	13 Jul →
inferno	13–9	0.02	11%	13 Jul →
nuke	13–8	0.04	12%	12 Jul →
dust2	13–11	-0.01	6%	11 Jul →
nuke	13–10	-0.04	14%	11 Jul →
dust2	11–13	0.10	17%	9 Jul →
nuke	9–13	0.01	19%	9 Jul →
cache	8–13	0.00	11%	9 Jul →
mirage	13–11	0.01	20%	9 Jul →
ancient	9–13	0.02	6%	6 Jul →
dust2	8–13	-0.05	7%	3 Jul →
anubis	9–13	-0.07	5%	2 Jul →
cache	7–13	-0.01	11%	2 Jul →
mirage	7–13	-0.03	20%	2 Jul →
overpass	0–13	-0.02	0%	2 Jul →