onr — CS2 Stats

TR76561198414198006[U:1:453932278]Steam profile ↗

1,158Tracked matches52%Win rate2020Tracked since

9,944Hours in CS31Hrs last 2 wks

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating22,921Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)

CSDB Leaderboard#8016 of 33756 tracked

FaceitLevel 10 · 2,612 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	46.2%	52.0%
Shot accuracy	17.0%	13.7%
Kill/death ratio	1.13	1.08
Match win rate	41.3%	48.8%

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Performance scores

Aim77

Positioning61

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWWWLWLLWL

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

Player DNA

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

Aim7.7

Aggression7.6

Utility7.1

Positioning6.1

Opening Duels4.2

Clutch4.4

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 b1t 92% 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 59% on CT to 35% 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

Aim7.7

Positioning6.1

Utility7.1

Mechanics6.1

Opening Duels4.2

Win Impact5.6

Composite 6.6/10 (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 time516ms−43ms

first ⅓ avg 559ms → last ⅓ avg 516ms

Headshot accuracy21.6%+0.8%

first ⅓ avg 20.8% → last ⅓ avg 21.6%

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

0.15Best rating — ancient 13–5

13–1Biggest win — dust2

5Longest win streak

8–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 75% over 8mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	39	17–22	44%	0.01
inferno	B	30	16–14	53%	0.01
anubis	B	14	7–7	50%	-0.00
ancient	S	8	6–2	75%	0.01
mirage	D	5	1–4	20%	-0.01
cache	—	2	0–2	0%	-0.01
nuke	—	1	0–1	0%	-0.02
overpass	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

236,558Lifetime kills

1.13K/D · Top 50% of Level 10 players

9,664Matches

41.3%Match win rate

46.2%Headshot %

17.0%Shot accuracy · Top 25% of Level 10 players

38,680MVPs

3,891Hours (in match)

7,021Bombs planted

2,865Bombs defused

Most-used weapons

AK-4767,147

AWP32,632

M4A4 / M4A1-S32,500

P2000 / USP-S19,662

Desert Eagle18,426

Glock-188,682

FAMAS5,011

Galil AR4,526

UMP-454,359

SSG 084,192

Lifetime map wins

31,224dust2

10,554inferno

7,049cbble

3,579vertigo

3,501train

1,696nuke

270office

114italy

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

Faceit stats

Combat

2,015Matches

53%Win rate

1.21Avg K/D

86.5ADR

43%Headshot %

Clutches & streaks

42%1v1 clutch win

26%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	203	54%	1.22	18.1
Anubis	136	51%	1.07	16.4
Inferno	102	57%	1.28	17.6
Mirage	57	56%	1.06	17.0
Ancient	31	39%	0.90	15.6
Vertigo	29	62%	1.14	16.2
Nuke	27	41%	1.08	15.5
Overpass	15	47%	1.12	19.0

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.

21.5%Headshot accuracy

33.7%Accuracy (enemy spotted)

38.0%Spray accuracy

77.4%Counter-strafing

10.3°Preaim

509msReaction time

34.9%T opening success

58.6%CT opening success

0.61Enemies flashed / flash

7.1%Flash assists

12.57HE damage / grenade

12.23Flashes / 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 34.9165% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	14–16	0.01	16%	24 Aug →
ancient	13–5	0.15	19%	24 Aug →
dust2	13–8	0.01	19%	19 Aug →
inferno	13–5	-0.07	20%	18 Aug →
dust2	9–13	-0.01	34%	18 Aug →
inferno	13–8	0.04	20%	17 Aug →
anubis	4–13	-0.03	24%	17 Aug →
inferno	6–13	-0.05	39%	16 Aug →
mirage	13–10	-0.07	20%	15 Aug →
dust2	6–13	-0.02	25%	12 Aug →
inferno	13–10	0.09	30%	12 Aug →
ancient	13–11	-0.04	22%	10 Aug →
inferno	13–10	0.01	14%	9 Aug →
inferno	9–13	0.01	24%	9 Aug →
dust2	13–5	0.01	10%	9 Aug →
dust2	9–13	0.04	22%	7 Aug →
inferno	15–15	-0.03	13%	1 Aug →
dust2	3–13	-0.04	39%	1 Aug →
inferno	9–13	-0.05	8%	1 Aug →
anubis	2–13	-0.08	15%	1 Aug →
dust2	13–1	0.15	22%	1 Aug →
ancient	11–13	0.00	15%	1 Aug →
dust2	8–13	0.04	25%	31 Jul →
dust2	13–6	0.04	29%	31 Jul →
dust2	0–13	-0.08	50%	31 Jul →
inferno	13–6	0.08	23%	30 Jul →
anubis	7–13	-0.05	11%	30 Jul →
dust2	13–11	-0.01	21%	30 Jul →
inferno	13–7	0.06	25%	28 Jul →
inferno	13–8	-0.03	14%	28 Jul →
inferno	13–7	0.13	15%	28 Jul →
dust2	13–6	0.00	12%	28 Jul →
cache	11–13	0.02	19%	28 Jul →
anubis	15–15	-0.06	14%	26 Jul →
ancient	13–9	0.03	21%	26 Jul →
dust2	11–13	-0.03	13%	26 Jul →
ancient	13–3	-0.05	20%	25 Jul →
inferno	13–8	0.01	21%	25 Jul →
dust2	9–13	-0.05	42%	23 Jul →
nuke	11–13	-0.02	20%	23 Jul →
inferno	9–13	0.01	15%	22 Jul →
mirage	6–13	-0.00	22%	22 Jul →
dust2	13–10	0.05	17%	22 Jul →
dust2	14–16	0.02	22%	22 Jul →
anubis	13–4	0.01	27%	22 Jul →
dust2	13–5	0.14	35%	22 Jul →
inferno	13–2	-0.02	30%	21 Jul →
dust2	13–5	0.04	16%	21 Jul →
inferno	2–13	-0.00	45%	21 Jul →
inferno	13–4	-0.03	21%	20 Jul →
inferno	7–13	-0.01	23%	18 Jul →
dust2	3–13	-0.05	50%	18 Jul →
dust2	1–13	-0.05	50%	16 Jul →
anubis	13–6	0.06	26%	15 Jul →
mirage	9–13	0.00	18%	15 Jul →
cache	2–13	-0.03	22%	15 Jul →
dust2	13–8	0.03	36%	15 Jul →
inferno	11–13	0.02	27%	14 Jul →
inferno	4–13	-0.02	27%	14 Jul →
dust2	9–13	0.02	22%	14 Jul →
mirage	9–13	0.02	25%	14 Jul →
dust2	13–9	-0.00	19%	13 Jul →
inferno	7–13	-0.01	17%	13 Jul →
dust2	7–13	-0.04	8%	13 Jul →
dust2	13–7	-0.06	8%	11 Jul →
anubis	13–11	0.04	22%	11 Jul →
ancient	8–13	0.03	33%	11 Jul →
dust2	13–9	0.03	12%	11 Jul →
dust2	9–13	-0.02	12%	11 Jul →
dust2	10–13	-0.01	23%	11 Jul →
anubis	16–14	-0.06	11%	11 Jul →
dust2	9–13	0.04	32%	10 Jul →
inferno	5–13	0.03	19%	10 Jul →
inferno	13–10	0.02	14%	9 Jul →
dust2	10–13	-0.04	13%	8 Jul →
dust2	13–11	0.04	27%	8 Jul →
dust2	13–11	0.01	39%	8 Jul →
anubis	11–13	-0.04	15%	4 Jun →
anubis	13–2	0.12	18%	1 Jun →
inferno	14–16	0.01	23%	31 May →
inferno	15–15	0.02	19%	24 May →
inferno	5–13	-0.09	18%	23 May →
ancient	16–14	-0.02	19%	23 May →
anubis	13–2	-0.02	29%	23 May →
dust2	9–13	0.07	25%	23 May →
overpass	13–11	-0.02	19%	22 May →
anubis	13–9	0.07	27%	22 May →
dust2	7–13	-0.03	18%	22 May →
inferno	13–6	0.07	12%	20 May →
anubis	10–13	-0.01	14%	20 May →
ancient	13–6	-0.03	17%	19 May →
anubis	11–13	-0.01	28%	19 May →
dust2	5–13	0.05	17%	18 May →
mirage	11–13	0.01	26%	18 May →
dust2	13–4	0.00	17%	12 May →
inferno	13–10	0.01	21%	11 May →
inferno	13–9	-0.03	12%	10 May →
dust2	8–13	-0.02	24%	10 May →
dust2	13–6	0.04	40%	4 May →
inferno	13–5	0.10	28%	4 May →