runedson — CS2 Stats

76561198055876688[U:1:95610960]

1,172Tracked matches53%Win rate2021Tracked since

CSDB Rating7.3 StrongHybrid Rifler

Premier CS Rating23,979Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#5713 of 31172 tracked

FaceitLevel 7 · 1,503 ELOTop 42.3% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning56

Utility68

0–100 skill scores via Leetify.

Recent form

COLD51–45–4Last 10051%Win rateLWLLLWLWLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim9.1

Aggression6.4

Utility6.8

Positioning5.6

Opening Duels3.2

Clutch4.8

Sharp aimerExcellent counter-strafingStrong 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 Twistzz 96% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 91 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 58% on CT to 28% 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

Aim9.1

Positioning5.6

Utility6.8

Mechanics8.9

Opening Duels3.4

Win Impact6.1

Composite 7.3/10 (Strong), 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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time542ms−35ms

first ⅓ avg 578ms → last ⅓ avg 542ms

Headshot accuracy18.0%−1.5%

first ⅓ avg 19.6% → last ⅓ avg 18.0%

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 — cache 13–7

13–3Biggest win — inferno

4Longest win streak

7–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 67% over 21infernoWeakest map · 42% over 19

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	10–13	43%	0.02
nuke	S	21	14–7	67%	0.05
inferno	C	19	8–11	42%	0.03
dust2	B	11	5–6	45%	0.04
anubis	A	8	5–3	63%	0.05
ancient	C	7	3–4	43%	0.05
cache	S	6	4–2	67%	0.06
overpass	—	4	2–2	50%	0.07
office	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

174Matches

55%Win rate

1.47Avg K/D

97.4ADR

40%Headshot %

Clutches & streaks

44%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	30	50%	1.47	18.9
Anubis	18	39%	1.28	17.4
Vertigo	16	44%	1.21	17.4
Nuke	16	75%	2.01	16.6
Overpass	13	54%	1.38	20.1
Mirage	10	40%	1.48	18.4
Inferno	5	40%	1.13	11.6
Dust2	4	75%	1.57	21.3

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.

17.8%Headshot accuracy

41.5%Accuracy (enemy spotted)

42.6%Spray accuracy

90.3%Counter-strafing

8.5°Preaim

542msReaction time

28.1%T opening success

57.5%CT opening success

0.68Enemies flashed / flash

5.7%Flash assists

9.87HE damage / grenade

15.28Flashes / 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 28.1376% — 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.

42% win rate across 19 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
inferno	7–13	0.03	11%	9 Aug →
nuke	11–4	0.06	31%	9 Aug →
mirage	6–13	-0.07	20%	8 Aug →
dust2	5–13	-0.01	19%	1 Aug →
mirage	3–13	-0.05	38%	1 Aug →
cache	13–7	0.15	29%	29 Jul →
inferno	11–13	0.00	24%	29 Jul →
nuke	13–11	0.09	23%	25 Jul →
nuke	9–13	0.00	11%	21 Jul →
inferno	9–13	0.01	19%	20 Jul →
cache	16–14	0.04	10%	20 Jul →
ancient	10–13	-0.02	5%	19 Jul →
nuke	16–13	0.04	11%	19 Jul →
inferno	13–8	0.03	15%	19 Jul →
anubis	14–16	0.01	13%	18 Jul →
mirage	13–10	-0.02	29%	18 Jul →
nuke	13–10	0.11	18%	18 Jul →
inferno	8–13	0.06	16%	18 Jul →
nuke	16–14	0.06	21%	17 Jul →
cache	11–13	0.01	12%	17 Jul →
inferno	13–10	0.02	14%	17 Jul →
nuke	13–6	0.03	21%	17 Jul →
mirage	13–6	0.07	27%	17 Jul →
cache	16–12	0.04	25%	17 Jul →
inferno	10–13	0.05	15%	17 Jul →
anubis	13–8	0.07	16%	17 Jul →
mirage	13–4	0.00	16%	16 Jul →
inferno	8–13	0.11	18%	11 Jul →
inferno	12–16	0.03	13%	23 Jun →
mirage	13–8	0.12	12%	22 Jun →
anubis	8–13	0.03	12%	22 Jun →
inferno	13–3	0.12	14%	22 Jun →
mirage	13–10	0.03	16%	18 Jun →
dust2	13–9	0.02	16%	18 Jun →
dust2	15–15	0.06	18%	15 Jun →
ancient	13–11	0.04	14%	10 Jun →
ancient	13–6	0.09	15%	10 Jun →
dust2	16–12	0.07	12%	10 Jun →
mirage	10–13	-0.02	18%	8 Jun →
nuke	13–10	0.07	20%	8 Jun →
inferno	15–15	-0.01	17%	7 Jun →
mirage	13–3	0.12	28%	6 Jun →
inferno	13–4	0.06	31%	2 Jun →
ancient	15–15	0.08	22%	1 Jun →
anubis	13–4	0.04	19%	1 Jun →
nuke	5–13	0.11	32%	1 Jun →
overpass	16–13	0.04	19%	20 May →
cache	7–13	0.06	21%	20 May →
cache	13–10	0.03	19%	20 May →
mirage	13–7	0.01	11%	12 May →
mirage	10–13	0.08	24%	3 May →
nuke	9–13	-0.01	6%	3 May →
inferno	13–5	-0.06	5%	27 Apr →
dust2	14–16	0.01	32%	27 Apr →
anubis	13–11	0.07	13%	27 Apr →
mirage	10–13	0.01	18%	27 Apr →
dust2	13–5	0.05	18%	26 Apr →
overpass	13–10	0.08	15%	26 Apr →
mirage	13–3	0.02	11%	21 Apr →
mirage	13–16	0.05	16%	21 Apr →
mirage	11–13	0.05	23%	20 Apr →
inferno	10–13	-0.02	23%	20 Apr →
mirage	5–13	-0.02	18%	20 Apr →
mirage	11–13	0.03	20%	18 Apr →
ancient	15–15	0.05	15%	18 Apr →
nuke	11–13	0.04	21%	18 Apr →
ancient	13–5	0.07	26%	18 Apr →
inferno	8–13	-0.00	17%	18 Apr →
anubis	11–13	-0.01	16%	18 Apr →
nuke	13–6	0.15	24%	6 Apr →
mirage	13–3	0.09	16%	6 Apr →
nuke	13–7	0.07	16%	6 Apr →
nuke	13–4	0.06	14%	6 Apr →
nuke	6–13	0.09	30%	4 Apr →
mirage	5–13	-0.01	35%	4 Apr →
mirage	13–5	0.04	20%	10 Feb →
nuke	3–13	0.00	16%	9 Feb →
anubis	13–11	0.12	11%	9 Feb →
inferno	9–4	0.04	16%	9 Feb →
dust2	8–13	0.05	17%	7 Feb →
mirage	6–13	-0.04	14%	6 Feb →
nuke	13–8	0.03	18%	6 Feb →
anubis	13–11	0.04	11%	22 Jan →
mirage	9–13	-0.04	10%	22 Jan →
nuke	13–4	0.10	33%	20 Jan →
inferno	9–3	0.05	22%	20 Jan →
nuke	13–8	0.03	18%	9 Jan →
dust2	10–13	-0.01	22%	8 Jan →
nuke	1–13	-0.09	27%	8 Jan →
inferno	5–13	0.02	30%	8 Jan →
office	8–13	0.05	23%	31 Dec →
nuke	13–5	0.07	20%	31 Dec →
dust2	13–10	-0.02	26%	31 Dec →
dust2	9–13	0.02	21%	31 Dec →
ancient	4–13	0.03	13%	24 Dec →
dust2	13–7	0.15	14%	24 Dec →
mirage	11–13	0.04	31%	24 Dec →
overpass	6–13	0.15	20%	24 Dec →
inferno	13–10	0.00	12%	22 Dec →
overpass	11–13	0.02	11%	22 Dec →