OneEyeBerry — CS2 Stats

76561198815532742[U:1:855267014]

3,077Tracked matches80%Win rate2020Tracked since

5,843Hours in CS39Hrs last 2 wks

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating22,438Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#6747 of 23724 tracked

FaceitLevel 10 · 2,130 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	43.9%	52.0%
Shot accuracy	13.4%	13.7%
Kill/death ratio	0.98	1.08
Match win rate	47.8%	48.8%

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Performance scores

Aim87

Positioning56

Utility37

0–100 skill scores via Leetify.

Recent form

HOT60–40Last 10060%Win rateLWWWWWWWWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.7

Aggression8.9

Utility3.7

Positioning5.6

Opening Duels4.0

Clutch2.6

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 jL 90% playstyle similarity

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

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 87 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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 62% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning5.6

Utility3.7

Mechanics7.2

Opening Duels4.0

Win Impact10.0

Composite 6.9/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time521ms−17ms

first ⅓ avg 537ms → last ⅓ avg 521ms

Headshot accuracy25.2%−0.2%

first ⅓ avg 25.4% → last ⅓ avg 25.2%

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 — nuke 13–0

13–0Biggest win — nuke

11Longest win streak

12–11In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 70% over 27cacheWeakest map · 44% over 18

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	27	19–8	70%	0.01
cache	C	18	8–10	44%	-0.01
anubis	A	17	10–7	59%	0.01
ancient	S	17	11–6	65%	-0.00
nuke	A	17	10–7	59%	0.01
vertigo	—	2	2–0	100%	-0.01
dust2	—	2	0–2	0%	-0.09

Across the last 100 tracked matches.

Lifetime stats

160,325Lifetime kills

0.98K/D

7,929Matches

47.8%Match win rate

43.9%Headshot %

13.4%Shot accuracy

22,083MVPs

3,830Hours (in match)

6,361Bombs planted

2,030Bombs defused

Most-used weapons

AWP40,953

AK-4738,062

Desert Eagle24,905

M4A4 / M4A1-S20,804

P2000 / USP-S8,834

Glock-187,112

SSG 084,611

Knife2,139

Galil AR1,894

MP71,633

Lifetime map wins

20,572inferno

15,763nuke

7,167dust2

4,992vertigo

1,442train

1,418cbble

570office

116lake

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

Faceit stats

Combat

1,033Matches

53%Win rate

1.11Avg K/D

75.2ADR

42%Headshot %

Clutches & streaks

33%1v1 clutch win

24%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	73	55%	1.05	16.3
Ancient	71	44%	1.15	15.0
Inferno	61	70%	1.17	15.4
Mirage	39	49%	0.86	14.0
Vertigo	37	51%	1.12	16.0
Nuke	20	55%	1.32	16.5
Dust2	15	67%	0.96	16.7
Cache	3	67%	0.79	17.7

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.

26.2%Headshot accuracy

34.9%Accuracy (enemy spotted)

32.0%Spray accuracy

82.3%Counter-strafing

7.4°Preaim

517msReaction time

30.4%T opening success

61.9%CT opening success

0.41Enemies flashed / flash

7.2%Flash assists

11.04HE damage / grenade

1.83Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4134 — below the 0.5 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 30.4244% — below the 40% mark we flag

Spend your practice time on Cache

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

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	6–13	-0.06	11%	27 Aug →
anubis	13–7	-0.01	21%	27 Aug →
ancient	13–11	-0.00	24%	27 Aug →
inferno	13–6	0.05	32%	26 Aug →
nuke	13–0	0.18	27%	26 Aug →
nuke	13–9	0.00	47%	26 Aug →
inferno	13–11	0.09	23%	26 Aug →
vertigo	13–7	-0.01	30%	25 Aug →
inferno	13–10	-0.02	50%	25 Aug →
inferno	13–11	-0.02	27%	24 Aug →
inferno	13–3	0.04	26%	20 Aug →
ancient	13–4	-0.02	3%	20 Aug →
dust2	3–13	-0.11	27%	19 Aug →
nuke	19–16	0.03	24%	18 Aug →
inferno	13–6	0.01	20%	18 Aug →
anubis	13–3	0.02	15%	15 Aug →
vertigo	13–11	-0.01	30%	15 Aug →
anubis	13–5	-0.05	28%	14 Aug →
inferno	13–8	0.08	15%	14 Aug →
inferno	9–2	0.02	21%	14 Aug →
inferno	8–13	-0.01	22%	13 Aug →
cache	7–13	-0.01	38%	13 Aug →
nuke	13–3	0.05	50%	13 Aug →
ancient	13–4	0.08	20%	11 Aug →
ancient	13–8	-0.03	10%	10 Aug →
anubis	13–8	0.03	32%	10 Aug →
ancient	13–10	0.03	33%	8 Aug →
inferno	1–13	-0.04	37%	8 Aug →
nuke	9–13	-0.01	20%	8 Aug →
cache	13–4	0.09	20%	7 Aug →
dust2	14–16	-0.06	16%	7 Aug →
ancient	5–13	0.05	18%	7 Aug →
ancient	1–7	-0.03	19%	6 Aug →
anubis	2–13	-0.08	29%	5 Aug →
anubis	3–3	-0.01	67%	5 Aug →
cache	13–6	0.06	21%	5 Aug →
cache	6–13	-0.09	17%	5 Aug →
cache	11–13	0.00	32%	5 Aug →
cache	10–13	-0.06	24%	5 Aug →
inferno	10–13	-0.04	30%	4 Aug →
inferno	13–10	0.06	51%	29 Jul →
nuke	13–6	0.02	18%	29 Jul →
cache	13–11	0.00	25%	29 Jul →
cache	3–13	-0.09	27%	29 Jul →
cache	13–10	-0.03	17%	29 Jul →
inferno	13–10	0.00	23%	29 Jul →
ancient	13–11	-0.00	23%	29 Jul →
nuke	16–12	0.00	21%	28 Jul →
anubis	13–9	0.05	20%	28 Jul →
ancient	1–13	-0.06	11%	28 Jul →
nuke	3–13	-0.05	24%	28 Jul →
ancient	16–14	-0.03	24%	28 Jul →
anubis	13–11	-0.03	50%	28 Jul →
cache	11–13	-0.03	45%	27 Jul →
anubis	4–13	0.07	30%	27 Jul →
nuke	7–13	0.04	42%	27 Jul →
inferno	13–9	-0.05	19%	27 Jul →
ancient	6–13	-0.03	29%	27 Jul →
inferno	10–13	-0.05	23%	26 Jul →
anubis	3–13	-0.03	23%	26 Jul →
ancient	13–11	0.03	12%	26 Jul →
inferno	13–5	0.01	23%	26 Jul →
cache	13–10	0.08	19%	26 Jul →
inferno	13–6	-0.04	45%	26 Jul →
nuke	11–13	-0.07	26%	26 Jul →
ancient	11–13	0.02	28%	25 Jul →
inferno	9–13	0.02	32%	25 Jul →
cache	13–9	-0.02	16%	23 Jul →
nuke	16–14	-0.01	19%	21 Jul →
anubis	9–13	0.01	28%	21 Jul →
anubis	13–10	0.05	21%	17 Jul →
anubis	13–3	0.05	8%	17 Jul →
inferno	4–1	0.01	43%	17 Jul →
ancient	5–13	-0.05	8%	17 Jul →
inferno	13–9	0.01	16%	16 Jul →
anubis	6–13	-0.03	29%	16 Jul →
cache	8–13	-0.01	26%	16 Jul →
inferno	11–13	-0.06	21%	16 Jul →
ancient	13–6	-0.04	15%	16 Jul →
nuke	11–13	0.06	35%	16 Jul →
cache	14–16	-0.01	16%	15 Jul →
anubis	13–2	0.11	15%	15 Jul →
cache	11–13	-0.01	28%	15 Jul →
ancient	13–4	-0.03	44%	15 Jul →
ancient	13–0	0.11	25%	15 Jul →
nuke	4–13	-0.04	31%	15 Jul →
inferno	13–11	-0.04	28%	14 Jul →
anubis	7–13	-0.05	13%	14 Jul →
inferno	11–13	0.03	39%	13 Jul →
inferno	6–13	-0.04	40%	13 Jul →
inferno	13–3	0.12	19%	13 Jul →
cache	13–6	0.08	28%	13 Jul →
cache	13–9	0.01	17%	13 Jul →
inferno	13–11	-0.01	19%	13 Jul →
nuke	6–13	-0.08	47%	13 Jul →
nuke	13–8	-0.03	24%	12 Jul →
nuke	13–8	0.06	41%	12 Jul →
inferno	13–8	0.01	30%	12 Jul →
anubis	13–7	0.05	29%	12 Jul →
nuke	13–10	0.01	23%	11 Jul →