R-One — CS2 Stats

76561197965980438[U:1:5714710]Steam profile ↗✓ No bans

2,834Tracked matches44%Win rate2020Tracked since

CSDB Rating6.2 SolidSupport

CSDB Leaderboard#253029 of 261515 tracked

FaceitLevel 6 · 1,236 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning63

Utility74

0–100 skill scores via Leetify.

Recent form

COLD45–42–13Last 10045%Win rateLWLWLLLLLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.1pp headshot accuracy · +60ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 18%
Avg reaction 702ms

Last 10

3–7 · 30% win rate
Avg rating -0.00
Avg headshot accuracy 17%
Avg reaction 662ms

Last 20

6–13–1 · 30% win rate
Avg rating 0.01
Avg headshot accuracy 17%
Avg reaction 632ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim7.7

Utility7.4

Positioning6.3

Opening Duels5.1

Clutch2.6

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 86% playstyle similarity

Most alike: utility contribution, 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

Strengths

T openings. 71% T opening-duel success — entries that actually open the round.

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 71% on T to 50% on CT — first contacts on the defending side are being lost.

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

Aim7.7

Positioning6.3

Utility7.4

Mechanics7.7

Opening Duels7.5

Win Impact3.1

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.04

first ⅓ avg -0.02 → last ⅓ avg 0.02

Reaction time651ms−40ms

first ⅓ avg 691ms → last ⅓ avg 651ms

Headshot accuracy17.9%+0.9%

first ⅓ avg 17.0% → last ⅓ avg 17.9%

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.

Personal bests

0.15Best match rating · 5–10 · dust2, 7 Oct →

33%Best headshot accuracy · 13–9 · dust2, 21 Oct →

453msFastest reaction time · 13–10 · dust2, 24 Oct →

13–1Biggest win · dust2, 26 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

7–5In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 4 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	95	43–52	45%	0.01
inferno	—	3	1–2	33%	0.01
cache	—	1	0–1	0%	0.00
vertigo	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Faceit stats

Combat

54Matches

57%Win rate

0.86Avg K/D

64.5ADR

43%Headshot %

Clutches & streaks

33%1v1 clutch win

50%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	13	85%	1.01	12.2
Anubis	11	64%	0.99	15.3
Ancient	9	22%	0.87	12.3
Inferno	9	67%	0.75	14.0
Mirage	5	40%	0.55	9.8
Nuke	4	50%	0.75	10.8
Vertigo	2	0%	0.46	8.5
Overpass	1	100%	1.25	15.0

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.

17.5%Headshot accuracy

37.2%Accuracy (enemy spotted)

37.3%Spray accuracy

84.9%Counter-strafing

7.7°Preaim

643msReaction time

71.1%T opening success

50.2%CT opening success

0.79Enemies flashed / flash

5.5%Flash assists

11.60HE damage / grenade

13.10Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.00	21%	13 Nov →
dust2	13–8	-0.04	13%	11 Nov →
dust2	2–13	-0.06	18%	11 Nov →
dust2	13–10	-0.02	18%	11 Nov →
dust2	5–13	0.01	21%	10 Nov →
dust2	10–13	-0.01	9%	9 Nov →
dust2	6–13	-0.07	12%	9 Nov →
cache	5–13	0.00	18%	9 Nov →
inferno	11–13	0.02	16%	8 Nov →
dust2	13–9	0.13	21%	8 Nov →
dust2	6–13	-0.01	31%	8 Nov →
dust2	1–13	-0.06	10%	8 Nov →
dust2	8–13	0.02	25%	8 Nov →
dust2	4–13	-0.05	18%	8 Nov →
inferno	13–8	0.07	15%	7 Nov →
dust2	9–13	0.02	14%	4 Nov →
dust2	9–13	0.12	19%	3 Nov →
dust2	13–7	0.09	21%	3 Nov →
dust2	13–10	0.02	13%	2 Nov →
dust2	12–12	0.01	12%	1 Nov →
dust2	7–13	0.04	17%	1 Nov →
dust2	13–7	0.07	15%	30 Oct →
dust2	13–2	0.09	29%	29 Oct →
dust2	13–9	0.02	16%	28 Oct →
dust2	12–12	0.02	17%	27 Oct →
dust2	13–2	0.03	17%	27 Oct →
dust2	11–13	0.11	12%	27 Oct →
dust2	12–12	0.04	22%	26 Oct →
dust2	13–8	0.01	23%	26 Oct →
dust2	13–1	-0.00	15%	26 Oct →
dust2	13–1	0.00	27%	26 Oct →
dust2	13–3	0.03	20%	25 Oct →
dust2	12–12	0.01	16%	25 Oct →
dust2	13–8	0.10	30%	25 Oct →
dust2	13–10	0.02	17%	24 Oct →
dust2	3–13	-0.06	14%	23 Oct →
dust2	13–8	-0.03	15%	22 Oct →
dust2	13–3	0.10	20%	22 Oct →
dust2	13–9	0.02	33%	21 Oct →
dust2	12–12	0.01	18%	21 Oct →
dust2	13–7	0.08	20%	21 Oct →
dust2	7–13	0.03	15%	21 Oct →
dust2	8–13	-0.02	8%	20 Oct →
dust2	12–12	-0.02	23%	19 Oct →
dust2	13–11	0.02	21%	19 Oct →
dust2	7–13	0.02	11%	18 Oct →
dust2	12–12	-0.01	16%	18 Oct →
dust2	11–13	0.04	17%	18 Oct →
dust2	13–3	0.04	17%	18 Oct →
dust2	13–6	-0.01	15%	15 Oct →
dust2	13–9	-0.02	17%	15 Oct →
dust2	13–7	0.09	16%	14 Oct →
dust2	12–12	0.12	18%	14 Oct →
dust2	13–3	-0.02	9%	11 Oct →
dust2	10–13	0.04	7%	8 Oct →
dust2	13–3	0.13	10%	8 Oct →
dust2	13–6	0.12	9%	8 Oct →
dust2	13–4	-0.01	16%	7 Oct →
dust2	9–13	0.04	17%	7 Oct →
dust2	13–10	-0.02	17%	7 Oct →
dust2	5–10	0.15	21%	7 Oct →
dust2	13–9	-0.02	15%	7 Oct →
dust2	12–12	0.03	25%	6 Oct →
dust2	13–10	-0.08	20%	5 Oct →
dust2	13–11	-0.00	19%	4 Oct →
dust2	13–11	0.07	32%	4 Oct →
dust2	9–13	-0.04	20%	3 Oct →
dust2	8–13	0.01	23%	3 Oct →
dust2	13–9	-0.01	25%	3 Oct →
inferno	8–13	-0.07	10%	29 Sept →
dust2	6–13	-0.01	4%	29 Sept →
dust2	4–13	-0.05	8%	28 Sept →
dust2	13–8	0.02	15%	28 Sept →
vertigo	13–5	0.01	14%	27 Sept →
dust2	13–11	-0.01	15%	27 Sept →
dust2	8–13	-0.04	21%	27 Sept →
dust2	10–13	0.02	16%	27 Sept →
dust2	13–11	-0.06	19%	21 Sept →
dust2	13–11	-0.04	25%	21 Sept →
dust2	10–13	-0.06	11%	21 Sept →
dust2	13–3	-0.00	14%	21 Sept →
dust2	5–13	-0.08	19%	19 Sept →
dust2	9–13	-0.00	17%	17 Sept →
dust2	6–13	-0.02	23%	9 Sept →
dust2	6–13	0.02	32%	9 Sept →
dust2	6–13	-0.05	2%	8 Sept →
dust2	6–13	0.03	16%	8 Sept →
dust2	13–10	-0.06	17%	8 Sept →
dust2	12–12	-0.01	29%	2 Sept →
dust2	4–13	-0.04	19%	1 Sept →
dust2	9–13	-0.05	9%	27 Aug →
dust2	12–12	-0.08	6%	26 Aug →
dust2	11–13	-0.03	24%	24 Aug →
dust2	12–12	0.01	18%	24 Aug →
dust2	11–13	-0.01	19%	18 Aug →
dust2	2–13	-0.02	11%	18 Aug →
dust2	13–1	0.05	31%	18 Aug →
dust2	13–9	-0.01	17%	18 Aug →
dust2	13–11	0.03	11%	17 Aug →
dust2	12–12	0.03	20%	17 Aug →