R0se Found — CS2 Stats

76561198813206058[U:1:852940330]

1,218Tracked matches73%Win rate2021Tracked since

CSDB Rating6.2 SolidPassive Rifler

Premier CS Rating26,645Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning44

Utility62

0–100 skill scores via Leetify.

Recent form

HOT55–45Last 10055%Win rateWWLLWWWLWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.9

Aggression2.8

Utility6.2

Positioning4.4

Opening Duels0.0

Clutch4.2

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 NiKo 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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 35% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Positioning4.4

Utility6.2

Mechanics6.3

Opening Duels0.6

Win Impact10.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time567ms−4ms

first ⅓ avg 571ms → last ⅓ avg 567ms

Headshot accuracy16.9%−2.6%

first ⅓ avg 19.5% → last ⅓ avg 16.9%

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

0.18Best rating — inferno 13–6

13–0Biggest win — dust2

8Longest win streak

W2Current streak

9–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 83% over 12infernoWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	18	8–10	44%	-0.03
inferno	C	17	7–10	41%	0.01
mirage	A	14	9–5	64%	-0.01
nuke	B	13	7–6	54%	0.01
ancient	S	12	10–2	83%	0.04
cache	S	10	7–3	70%	0.01
anubis	C	9	4–5	44%	0.03
boulder	—	2	2–0	100%	0.07
train	—	1	0–1	0%	-0.06
vertigo	—	1	1–0	100%	0.02
fachwerk	—	1	0–1	0%	-0.03
shelter	—	1	0–1	0%	0.10
office	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

790Matches

51%Win rate

1.13Avg K/D

82.2ADR

48%Headshot %

Clutches & streaks

41%1v1 clutch win

28%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	246	53%	1.10	15.1
Dust2	148	43%	1.12	16.1
Anubis	114	48%	1.13	16.1
Ancient	102	54%	1.15	16.9
Inferno	86	59%	1.21	16.1
Nuke	28	43%	1.12	15.6
Overpass	20	55%	1.13	14.3
Vertigo	19	47%	1.24	14.5

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.

16.7%Headshot accuracy

31.8%Accuracy (enemy spotted)

38.6%Spray accuracy

78.3%Counter-strafing

8.6°Preaim

567msReaction time

19.4%T opening success

35.1%CT opening success

0.58Enemies flashed / flash

7.7%Flash assists

9.53HE damage / grenade

15.35Flashes / 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 19.4025% — below the 40% mark we flag

Spend your practice time on Inferno

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–10	-0.03	9%	26 Aug →
cache	13–9	0.08	19%	26 Aug →
dust2	2–13	-0.02	18%	25 Aug →
dust2	4–13	-0.02	16%	25 Aug →
nuke	13–4	0.03	13%	22 Aug →
ancient	13–8	0.06	20%	22 Aug →
anubis	13–10	-0.04	17%	21 Aug →
dust2	11–13	-0.04	20%	21 Aug →
dust2	13–11	-0.05	14%	20 Aug →
cache	13–7	0.02	21%	20 Aug →
mirage	13–10	0.01	7%	19 Aug →
dust2	13–7	0.02	28%	19 Aug →
anubis	11–13	-0.02	15%	16 Aug →
ancient	13–9	0.09	21%	15 Aug →
mirage	16–14	-0.00	19%	14 Aug →
dust2	13–8	-0.03	10%	13 Aug →
dust2	9–13	-0.10	7%	13 Aug →
train	7–13	-0.06	8%	12 Aug →
cache	13–9	0.00	11%	11 Aug →
ancient	13–10	0.01	16%	11 Aug →
inferno	10–13	0.00	27%	11 Aug →
dust2	13–0	0.00	25%	10 Aug →
inferno	13–11	-0.04	21%	10 Aug →
mirage	13–11	0.03	18%	9 Aug →
mirage	13–11	0.05	19%	9 Aug →
inferno	16–12	0.02	18%	9 Aug →
dust2	13–10	-0.02	21%	8 Aug →
cache	13–10	-0.04	11%	7 Aug →
nuke	13–6	0.01	30%	7 Aug →
mirage	11–13	-0.01	7%	7 Aug →
dust2	13–9	0.06	17%	7 Aug →
mirage	13–10	-0.05	17%	6 Aug →
nuke	10–13	0.02	18%	4 Aug →
mirage	13–11	-0.02	25%	4 Aug →
cache	10–13	-0.05	20%	4 Aug →
nuke	13–7	-0.02	15%	1 Aug →
dust2	6–13	-0.10	11%	1 Aug →
nuke	13–7	0.01	27%	1 Aug →
anubis	10–13	0.12	26%	1 Aug →
inferno	14–16	0.01	18%	1 Aug →
inferno	11–13	-0.00	23%	31 Jul →
nuke	8–13	0.02	20%	31 Jul →
inferno	13–7	-0.06	20%	31 Jul →
mirage	13–9	-0.05	15%	31 Jul →
mirage	8–13	-0.01	19%	31 Jul →
ancient	12–16	0.07	19%	31 Jul →
dust2	13–4	0.00	26%	31 Jul →
vertigo	13–6	0.02	25%	29 Jul →
mirage	10–13	-0.02	20%	29 Jul →
dust2	6–13	-0.11	19%	29 Jul →
inferno	8–13	-0.01	14%	29 Jul →
ancient	13–9	0.01	16%	29 Jul →
ancient	10–13	-0.00	15%	24 Jul →
inferno	7–13	0.00	10%	24 Jul →
anubis	13–6	0.06	23%	24 Jul →
ancient	13–9	-0.04	24%	23 Jul →
inferno	13–6	0.02	18%	23 Jul →
cache	8–13	0.02	25%	22 Jul →
dust2	8–13	-0.05	25%	22 Jul →
ancient	13–7	-0.04	15%	22 Jul →
anubis	13–11	0.07	11%	22 Jul →
nuke	10–13	0.01	18%	21 Jul →
inferno	7–13	-0.08	15%	21 Jul →
ancient	13–11	0.02	13%	21 Jul →
inferno	13–6	0.18	18%	20 Jul →
mirage	4–13	0.00	13%	20 Jul →
dust2	13–9	0.03	14%	20 Jul →
cache	10–13	-0.02	23%	20 Jul →
inferno	4–13	-0.05	30%	19 Jul →
inferno	4–13	0.04	13%	19 Jul →
inferno	10–13	0.02	40%	19 Jul →
anubis	9–13	0.00	14%	18 Jul →
anubis	13–7	0.03	12%	18 Jul →
nuke	13–6	0.01	21%	18 Jul →
nuke	7–13	0.02	16%	18 Jul →
ancient	13–8	0.12	16%	17 Jul →
nuke	7–9	-0.05	8%	17 Jul →
fachwerk	7–13	-0.03	15%	17 Jul →
inferno	5–13	0.02	7%	16 Jul →
anubis	11–13	-0.02	12%	16 Jul →
shelter	10–13	0.10	30%	16 Jul →
inferno	13–7	0.02	21%	14 Jul →
cache	13–7	0.05	30%	14 Jul →
dust2	6–13	-0.05	19%	14 Jul →
dust2	10–13	-0.10	13%	13 Jul →
cache	13–9	0.06	11%	13 Jul →
nuke	12–16	0.01	21%	13 Jul →
mirage	13–8	-0.04	12%	11 Jul →
boulder	13–7	0.11	12%	10 Jul →
ancient	13–2	0.04	17%	10 Jul →
dust2	6–13	-0.05	20%	10 Jul →
mirage	13–8	0.01	16%	10 Jul →
inferno	13–8	0.05	22%	9 Jul →
boulder	13–11	0.03	23%	9 Jul →
anubis	7–13	0.04	22%	8 Jul →
office	8–13	0.03	30%	8 Jul →
ancient	13–4	0.13	24%	6 Jul →
nuke	13–1	0.05	30%	6 Jul →
mirage	7–13	-0.02	21%	6 Jul →
nuke	13–2	0.04	22%	6 Jul →