the_didler — CS2 Stats

US76561198280495107[U:1:320229379]Steam profile ↗

1,198Tracked matches39%Win rate2020Tracked since

CSDB Rating5.1 DevelopingHybrid Rifler

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning50

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLWWWLLWWLL

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

Player DNA

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

Aim6.2

Aggression5.9

Utility6.2

Positioning5.0

Opening Duels2.3

Clutch3.6

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.

Your pro match

Plays most like Twistzz 89% playstyle similarity

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

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

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 612ms 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

Aim6.2

Positioning5.0

Utility6.2

Mechanics6.4

Opening Duels2.3

Win Impact1.4

Composite 5.1/10 (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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time621ms−11ms

first ⅓ avg 632ms → last ⅓ avg 621ms

Headshot accuracy14.8%−3.3%

first ⅓ avg 18.1% → last ⅓ avg 14.8%

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

0.12Best rating — nuke 13–8

13–0Biggest win — anubis

5Longest win streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 67% over 21dust2Weakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	21	14–7	67%	0.03
anubis	C	15	6–9	40%	0.02
mirage	C	13	5–8	38%	0.01
ancient	B	12	6–6	50%	-0.00
overpass	B	11	5–6	45%	0.01
inferno	D	9	3–6	33%	-0.06
cache	B	8	4–4	50%	-0.01
dust2	D	7	2–5	29%	-0.01
vertigo	—	2	1–1	50%	0.01
train	—	1	1–0	100%	0.02
office	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

419Matches

53%Win rate

1.14Avg K/D

85.5ADR

34%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	56	59%	1.08	17.5
Mirage	53	47%	1.03	16.2
Inferno	29	41%	1.03	15.6
Nuke	25	48%	1.09	19.0
Dust2	19	68%	1.20	14.7
Ancient	18	56%	1.33	17.6
Train	13	38%	1.13	17.0
Vertigo	6	67%	1.16	19.2

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.

14.5%Headshot accuracy

35.2%Accuracy (enemy spotted)

38.4%Spray accuracy

78.9%Counter-strafing

10.5°Preaim

612msReaction time

32.8%T opening success

45.4%CT opening success

0.78Enemies flashed / flash

8.5%Flash assists

9.08HE damage / grenade

9.82Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4797% — below the 15% 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 32.7999% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	10–13	-0.02	9%	3 Aug →
mirage	13–6	-0.02	10%	30 Jul →
inferno	16–13	-0.00	12%	20 Jul →
mirage	13–7	0.01	8%	20 Jul →
cache	11–13	-0.07	26%	20 Jul →
mirage	5–13	0.09	18%	16 Jul →
cache	13–5	0.06	9%	15 Jul →
ancient	13–3	-0.02	11%	14 Jul →
dust2	4–13	-0.04	35%	13 Jul →
cache	5–13	-0.03	20%	13 Jul →
nuke	13–5	-0.00	8%	13 Jul →
overpass	7–13	-0.02	15%	5 Jul →
overpass	1–13	-0.05	13%	5 Jul →
ancient	13–11	0.08	6%	5 Jul →
overpass	10–13	0.02	14%	4 Jul →
anubis	5–13	-0.05	17%	2 Jul →
anubis	12–16	0.05	13%	29 Jun →
nuke	13–9	0.02	16%	27 Jun →
ancient	13–7	-0.05	12%	27 Jun →
nuke	15–15	0.03	12%	27 Jun →
nuke	15–15	0.00	7%	26 Jun →
inferno	13–6	-0.03	26%	26 Jun →
nuke	13–3	0.03	18%	26 Jun →
ancient	9–13	-0.02	8%	25 Jun →
anubis	5–13	0.02	24%	25 Jun →
ancient	10–13	-0.09	8%	25 Jun →
nuke	7–13	0.08	28%	25 Jun →
nuke	11–13	0.03	20%	24 Jun →
ancient	10–13	0.02	9%	24 Jun →
inferno	5–13	-0.04	17%	23 Jun →
vertigo	13–10	0.05	18%	19 Jun →
cache	13–11	-0.07	8%	19 Jun →
train	13–11	0.02	15%	19 Jun →
office	1–13	0.01	19%	19 Jun →
dust2	5–13	0.00	22%	13 Jun →
nuke	8–2	0.02	21%	13 Jun →
dust2	3–13	-0.03	9%	9 Jun →
nuke	5–13	-0.01	14%	7 Jun →
cache	12–12	0.04	16%	7 Jun →
overpass	5–13	-0.04	13%	7 Jun →
mirage	3–13	-0.05	2%	7 Jun →
nuke	9–13	0.03	7%	6 Jun →
ancient	4–6	0.01	7%	3 Jun →
anubis	8–13	0.01	5%	3 Jun →
anubis	13–0	-0.00	0%	2 Jun →
vertigo	5–13	-0.03	22%	2 Jun →
cache	8–13	-0.04	10%	2 Jun →
anubis	13–3	0.11	14%	2 Jun →
ancient	13–11	0.01	12%	2 Jun →
ancient	8–13	-0.05	7%	31 May →
anubis	11–13	-0.03	20%	31 May →
inferno	9–7	-0.03	38%	30 May →
inferno	6–9	-0.12	8%	29 May →
inferno	0–9	-0.24	0%	29 May →
nuke	13–9	0.04	9%	29 May →
overpass	13–7	0.02	7%	28 May →
anubis	13–4	0.04	11%	28 May →
ancient	7–13	-0.03	12%	28 May →
anubis	13–9	0.05	16%	28 May →
mirage	11–13	0.01	20%	28 May →
overpass	13–3	0.05	22%	28 May →
nuke	13–8	0.12	14%	25 May →
nuke	13–11	0.02	16%	25 May →
ancient	13–6	0.05	16%	20 May →
anubis	4–13	0.00	4%	20 May →
nuke	13–7	0.11	14%	20 May →
ancient	13–6	0.03	23%	20 May →
mirage	13–7	-0.03	7%	20 May →
inferno	4–13	0.01	19%	20 May →
anubis	13–4	0.07	16%	19 May →
dust2	11–13	0.01	13%	19 May →
mirage	9–13	0.01	18%	19 May →
nuke	9–7	0.10	23%	19 May →
overpass	15–15	-0.04	13%	18 May →
nuke	16–14	-0.02	13%	17 May →
anubis	9–13	-0.05	9%	17 May →
mirage	13–10	0.02	15%	15 May →
dust2	8–13	-0.05	8%	15 May →
nuke	13–7	-0.03	9%	15 May →
dust2	13–11	-0.02	16%	13 May →
mirage	6–13	-0.00	24%	13 May →
overpass	13–10	0.01	18%	13 May →
dust2	13–10	0.01	15%	13 May →
overpass	13–4	0.09	32%	13 May →
anubis	10–13	0.02	17%	13 May →
nuke	13–7	0.04	14%	13 May →
mirage	13–9	0.02	13%	13 May →
mirage	15–15	-0.02	10%	12 May →
nuke	8–13	-0.11	100%	12 May →
overpass	7–13	0.04	28%	12 May →
inferno	6–13	-0.06	15%	12 May →
nuke	13–6	0.02	32%	12 May →
inferno	3–13	-0.05	8%	11 May →
mirage	4–12	0.10	11%	11 May →
anubis	14–16	-0.01	8%	7 May →
cache	13–8	0.04	5%	7 May →
cache	13–8	0.00	8%	6 May →
overpass	16–13	0.02	19%	6 May →
nuke	13–9	0.02	22%	6 May →
anubis	13–10	0.08	19%	5 May →