dc — CS2 Stats

76561198061059297[U:1:100793569]

1,956Tracked matches54%Win rate2021Tracked since

CSDB Rating4.7 Developing

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning44

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateLLWLLLWWLW

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Aim4.1

Aggression4.1

Utility4.9

Positioning4.4

Opening Duels0.6

Clutch0.0

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 79% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 729ms 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

Aim4.1

Positioning4.4

Utility4.9

Mechanics6.9

Opening Duels1.7

Win Impact6.2

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time744ms+74ms

first ⅓ avg 670ms → last ⅓ avg 744ms

Headshot accuracy15.5%−1.1%

first ⅓ avg 16.6% → last ⅓ avg 15.5%

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

0.14Best rating — inferno 13–5

13–0Biggest win — office

5Longest win streak

L2Current streak

8–2In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 62% over 13mirageWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
office	B	15	7–8	47%	-0.01
cache	A	14	8–6	57%	-0.01
nuke	A	13	8–5	62%	0.00
dust2	B	12	6–6	50%	-0.01
mirage	D	10	3–7	30%	-0.00
train	A	10	6–4	60%	0.00
anubis	A	7	4–3	57%	-0.01
ancient	A	7	4–3	57%	-0.01
overpass	—	4	2–2	50%	-0.05
inferno	—	4	3–1	75%	0.03
vertigo	—	2	0–2	0%	-0.00
fachwerk	—	1	0–1	0%	-0.03
boulder	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches

33%Win rate

0.78Avg K/D

75.9ADR

46%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	3	33%	0.78	9.7
Nuke	1	100%	1.32	25.0
Train	1	0%	0.80	12.0

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.

16.0%Headshot accuracy

30.8%Accuracy (enemy spotted)

33.5%Spray accuracy

81.2%Counter-strafing

11.2°Preaim

729msReaction time

21.8%T opening success

43.4%CT opening success

0.54Enemies flashed / flash

6.8%Flash assists

5.25HE damage / grenade

9.27Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 728.7618ms — above the 700ms mark we flag
Aim Training →
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 21.7765% — 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.

30% win rate across 10 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
cache	1–13	-0.12	0%	22 Aug →
mirage	9–13	0.03	17%	18 Aug →
anubis	13–10	0.00	16%	15 Aug →
office	8–13	-0.06	20%	15 Aug →
dust2	4–13	-0.03	26%	12 Aug →
nuke	8–13	-0.01	13%	12 Aug →
overpass	13–11	0.00	15%	9 Aug →
office	13–7	0.00	20%	9 Aug →
train	2–13	-0.07	17%	8 Aug →
inferno	13–5	0.14	25%	8 Aug →
office	8–13	-0.02	13%	8 Aug →
train	13–11	-0.00	26%	5 Aug →
cache	13–5	0.05	5%	4 Aug →
mirage	4–13	0.03	13%	4 Aug →
dust2	7–13	0.04	21%	4 Aug →
office	13–7	0.02	12%	26 Jul →
cache	13–4	0.11	23%	26 Jul →
nuke	13–5	0.09	20%	26 Jul →
fachwerk	5–13	-0.03	22%	19 Jul →
nuke	12–12	-0.02	8%	19 Jul →
office	12–12	-0.10	7%	19 Jul →
boulder	1–13	-0.05	13%	12 Jul →
office	13–0	0.03	10%	12 Jul →
cache	13–8	-0.08	7%	11 Jul →
office	13–8	-0.01	27%	11 Jul →
mirage	14–16	-0.07	11%	10 Jul →
mirage	13–5	0.04	25%	5 Jul →
train	13–8	-0.01	17%	5 Jul →
ancient	9–13	-0.05	12%	5 Jul →
nuke	13–9	-0.03	17%	5 Jul →
cache	13–10	-0.00	11%	5 Jul →
mirage	13–4	0.02	9%	4 Jul →
nuke	13–4	0.03	15%	4 Jul →
cache	13–9	-0.00	15%	3 Jul →
mirage	7–11	0.04	21%	2 Jul →
dust2	1–13	-0.05	10%	2 Jul →
ancient	13–10	-0.03	15%	27 Jun →
dust2	13–11	0.04	17%	27 Jun →
cache	3–13	-0.06	18%	27 Jun →
anubis	13–8	-0.02	6%	21 Jun →
nuke	13–5	-0.00	17%	21 Jun →
train	13–3	0.01	35%	21 Jun →
train	13–8	-0.02	7%	21 Jun →
office	7–13	0.03	24%	15 Jun →
office	12–12	0.01	10%	5 Jun →
dust2	2–7	-0.09	9%	3 Jun →
dust2	13–7	-0.03	16%	25 May →
mirage	10–13	-0.04	23%	25 May →
office	4–13	-0.04	33%	25 May →
overpass	1–13	-0.06	19%	24 May →
ancient	13–10	0.03	15%	24 May →
train	8–13	0.05	24%	24 May →
cache	13–10	0.05	9%	24 May →
cache	13–7	0.05	12%	24 May →
dust2	8–13	-0.02	25%	23 May →
nuke	15–15	-0.01	22%	23 May →
mirage	8–13	-0.02	14%	23 May →
vertigo	12–12	0.06	11%	22 May →
anubis	13–3	0.05	11%	22 May →
inferno	9–0	-0.01	0%	22 May →
dust2	8–13	-0.06	20%	22 May →
nuke	13–8	0.03	17%	21 May →
ancient	12–12	-0.01	12%	21 May →
mirage	4–9	-0.03	19%	21 May →
vertigo	9–13	-0.06	9%	20 May →
cache	13–5	-0.02	27%	20 May →
anubis	1–13	-0.06	5%	20 May →
nuke	13–7	0.01	9%	20 May →
dust2	13–10	-0.01	16%	19 May →
office	4–13	0.00	18%	17 May →
nuke	7–13	-0.13	17%	17 May →
nuke	8–2	-0.01	15%	17 May →
anubis	7–13	-0.02	21%	17 May →
dust2	13–6	0.02	22%	17 May →
cache	12–12	0.02	15%	17 May →
ancient	10–13	-0.02	13%	16 May →
ancient	13–2	0.06	19%	16 May →
anubis	16–13	0.01	11%	16 May →
train	3–13	-0.04	18%	16 May →
inferno	11–13	0.02	21%	16 May →
office	13–11	0.02	22%	16 May →
cache	5–13	-0.02	20%	15 May →
nuke	13–10	0.13	16%	14 May →
dust2	13–9	0.01	14%	14 May →
office	13–11	0.00	32%	13 May →
office	10–13	0.08	11%	13 May →
nuke	6–13	-0.07	24%	13 May →
mirage	13–11	-0.04	17%	13 May →
overpass	13–0	-0.07	13%	13 May →
train	13–7	0.09	13%	12 May →
cache	4–13	-0.04	14%	12 May →
train	13–10	0.01	19%	10 May →
anubis	12–12	-0.03	10%	10 May →
overpass	6–13	-0.07	12%	9 May →
dust2	13–6	0.02	12%	9 May →
office	13–7	-0.05	3%	9 May →
inferno	13–11	-0.03	14%	9 May →
ancient	16–14	-0.04	13%	8 May →
cache	6–13	-0.07	15%	8 May →
train	12–12	-0.01	40%	8 May →