dyrod — CS2 Stats

76561198272557061[U:1:312291333]✓ No bans

3,607Tracked matches67%Win rate2021Tracked since

CSDB Rating7.9 StrongAggressive Rifler

FaceitLevel 10 · 3,745 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim95

Positioning58

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY68–29–3Last 10068%Win rateWLWTLLWWLL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim9.5

Aggression8.7

Utility6.4

Positioning5.8

Opening Duels4.1

Clutch3.8

Sharp aimerStrong 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 device 96% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 37 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 66% on CT to 27% 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

Aim9.5

Positioning5.8

Utility6.4

Mechanics7.3

Opening Duels4.5

Win Impact10.0

Composite 7.9/10 (Strong), 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 rating0.05+0.04

first ⅓ avg 0.01 → last ⅓ avg 0.05

Reaction time421ms−41ms

first ⅓ avg 462ms → last ⅓ avg 421ms

Headshot accuracy24.9%−4.2%

first ⅓ avg 29.1% → last ⅓ avg 24.9%

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

0.31Best rating — debris 9–3

13–1Biggest win — ancient

12Longest win streak

10–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 75% over 32nukeWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	32	24–8	75%	0.04
ancient	S	15	11–4	73%	0.03
inferno	B	14	7–7	50%	0.04
dust2	S	9	6–3	67%	0.00
overpass	S	9	6–3	67%	0.02
nuke	C	7	3–4	43%	-0.01
train	—	4	3–1	75%	0.06
anubis	—	3	3–0	100%	0.05
debris	—	2	2–0	100%	0.19
poseidon	—	2	2–0	100%	0.17
eldorado	—	2	1–1	50%	0.10
cache	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,716Matches

57%Win rate

1.44Avg K/D

85.9ADR

46%Headshot %

Clutches & streaks

39%1v1 clutch win

21%1v2 clutch win

14Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	835	58%	1.46	17.7
Ancient	519	56%	1.43	17.0
Anubis	504	62%	1.45	18.4
Inferno	233	58%	1.54	18.3
Dust2	227	52%	1.36	16.9
Overpass	84	58%	1.47	17.2
Nuke	81	52%	1.41	17.5
Vertigo	31	55%	1.31	17.2

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.

26.7%Headshot accuracy

37.0%Accuracy (enemy spotted)

37.5%Spray accuracy

82.7%Counter-strafing

6.4°Preaim

420msReaction time

26.6%T opening success

66.2%CT opening success

0.68Enemies flashed / flash

9.6%Flash assists

9.04HE damage / grenade

13.20Flashes / 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 26.6274% — below the 40% mark we flag

Spend your practice time on Nuke

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–8	0.09	26%	25 Aug →
ancient	1–13	-0.05	29%	24 Aug →
debris	9–3	0.31	17%	14 Aug →
inferno	8–8	0.02	21%	12 Aug →
dust2	2–13	-0.03	13%	8 Aug →
cache	3–13	-0.03	29%	8 Aug →
ancient	13–6	0.10	48%	8 Aug →
anubis	16–14	0.11	21%	8 Aug →
ancient	1–13	-0.05	14%	7 Aug →
inferno	12–16	0.01	17%	7 Aug →
poseidon	9–4	0.14	9%	3 Aug →
eldorado	8–8	0.06	18%	3 Aug →
poseidon	9–7	0.20	47%	3 Aug →
mirage	13–9	-0.02	44%	3 Aug →
debris	9–4	0.07	19%	27 Jul →
eldorado	9–3	0.13	13%	27 Jul →
inferno	13–3	0.22	29%	11 Jul →
dust2	13–10	-0.01	44%	8 Jul →
anubis	16–14	0.02	23%	6 Jul →
nuke	4–9	-0.04	28%	16 Jun →
dust2	11–13	-0.03	7%	8 Jun →
mirage	13–8	0.05	19%	1 Jun →
ancient	13–5	0.06	11%	25 May →
ancient	19–16	-0.02	24%	23 May →
inferno	13–10	0.00	19%	21 Apr →
ancient	13–1	0.13	27%	21 Apr →
inferno	13–3	0.11	31%	3 Apr →
anubis	13–5	0.02	41%	3 Apr →
mirage	2–13	-0.00	25%	29 Mar →
ancient	3–13	-0.03	25%	29 Mar →
ancient	13–11	-0.01	37%	29 Mar →
ancient	13–1	0.13	28%	21 Mar →
mirage	13–6	0.08	22%	19 Mar →
inferno	9–5	0.06	30%	17 Mar →
mirage	8–0	0.04	31%	16 Mar →
mirage	13–3	0.07	45%	14 Mar →
inferno	11–13	0.04	26%	9 Mar →
mirage	7–13	-0.07	14%	9 Mar →
mirage	13–7	0.15	45%	8 Mar →
nuke	8–8	0.05	21%	8 Mar →
dust2	13–6	0.10	43%	27 Feb →
mirage	14–16	0.00	19%	27 Feb →
mirage	13–11	-0.02	28%	21 Feb →
dust2	7–13	-0.04	43%	13 Feb →
mirage	8–13	-0.03	14%	5 Feb →
inferno	19–17	0.01	20%	29 Jan →
inferno	9–2	0.23	34%	16 Jan →
mirage	16–12	0.01	20%	5 Jan →
overpass	13–7	0.04	24%	5 Jan →
dust2	4–0	0.04	27%	26 Dec →
mirage	7–13	-0.02	21%	23 Dec →
ancient	13–11	0.05	18%	19 Dec →
nuke	13–7	-0.03	17%	19 Dec →
mirage	13–1	0.04	31%	17 Dec →
mirage	13–6	0.06	18%	17 Dec →
mirage	13–2	0.16	50%	16 Dec →
mirage	13–11	0.04	27%	12 Dec →
train	13–7	0.06	19%	10 Dec →
mirage	13–6	0.17	29%	10 Dec →
nuke	13–11	0.06	26%	10 Dec →
mirage	13–7	0.07	27%	9 Dec →
mirage	13–2	0.03	15%	9 Dec →
mirage	13–10	0.06	26%	8 Dec →
inferno	6–13	0.01	23%	21 Nov →
nuke	13–10	-0.00	34%	19 Nov →
mirage	13–3	0.13	40%	19 Nov →
overpass	13–2	0.07	37%	19 Nov →
inferno	13–8	-0.02	35%	19 Nov →
overpass	0–4	-0.13	0%	15 Nov →
train	13–4	0.07	45%	15 Nov →
mirage	13–9	0.12	42%	15 Nov →
overpass	13–11	0.06	27%	15 Nov →
ancient	13–4	0.03	43%	12 Nov →
ancient	13–10	-0.05	14%	30 Oct →
ancient	13–10	0.02	44%	25 Oct →
mirage	13–3	-0.08	30%	8 Oct →
overpass	6–13	0.09	38%	8 Oct →
inferno	5–13	0.05	29%	8 Oct →
mirage	6–13	-0.01	53%	8 Oct →
overpass	13–4	0.09	54%	3 Oct →
dust2	13–4	-0.01	9%	19 Sept →
mirage	13–5	0.03	16%	14 Sept →
overpass	7–3	0.03	29%	10 Sept →
nuke	8–13	-0.03	37%	31 Aug →
nuke	2–13	-0.09	5%	27 Aug →
mirage	13–10	0.03	50%	27 Aug →
dust2	13–5	0.02	23%	27 Aug →
mirage	8–13	-0.02	21%	26 Aug →
inferno	4–13	-0.09	8%	26 Aug →
dust2	16–13	-0.02	63%	22 Aug →
overpass	8–13	-0.05	18%	22 Aug →
mirage	13–6	0.04	20%	15 Aug →
train	13–2	0.08	18%	14 Aug →
ancient	9–13	0.01	36%	13 Aug →
mirage	9–13	0.05	27%	1 Aug →
train	5–13	0.03	29%	29 Jul →
overpass	13–3	0.01	35%	29 Jul →
mirage	13–6	0.02	27%	26 Jul →
ancient	13–9	0.07	30%	25 Jul →
inferno	8–13	-0.05	7%	21 Jul →