derffff — CS2 Stats

76561198292099617[U:1:331833889]Steam profile ↗✓ No bans

383Tracked matches27%Win rate2025Tracked since

CSDB Rating5.0 Developing

Ladder ranks via Leetify

Performance scores

Aim51

Positioning61

Utility42

0–100 skill scores via Leetify.

Recent form

COLD35–54–11Last 10035%Win rateWLLLLLLTWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim5.1

Aggression10.0

Utility4.2

Positioning6.1

Opening Duels4.7

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 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 640ms 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

Aim5.1

Positioning6.1

Utility4.2

Mechanics7.7

Opening Duels4.7

Win Impact0.0

Composite 5.0/10 (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-0.02+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time640ms−9ms

first ⅓ avg 648ms → last ⅓ avg 640ms

Headshot accuracy11.9%−2.4%

first ⅓ avg 14.4% → last ⅓ avg 11.9%

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

0.12Best rating — ancient 5–13

13–1Biggest win — dust2

6Longest win streak

4–5In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 43% over 28officeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	28	12–16	43%	-0.02
inferno	C	16	6–10	38%	-0.02
cache	D	11	3–8	27%	-0.00
mirage	D	8	2–6	25%	-0.03
nuke	C	8	3–5	38%	-0.02
anubis	D	7	2–5	29%	-0.02
ancient	D	6	2–4	33%	-0.01
office	D	6	1–5	17%	-0.01
vertigo	—	4	1–3	25%	-0.00
train	—	4	1–3	25%	0.01
overpass	—	2	2–0	100%	0.01

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.0%Headshot accuracy

33.8%Accuracy (enemy spotted)

33.3%Spray accuracy

84.4%Counter-strafing

11.5°Preaim

640msReaction time

44.3%T opening success

53.5%CT opening success

0.41Enemies flashed / flash

5.4%Flash assists

5.67HE damage / grenade

6.27Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.0333% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4068 — below the 0.5 mark we flag
Grenade Lineups →

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.

25% win rate across 8 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
dust2	13–1	0.02	14%	27 Aug →
mirage	2–13	-0.05	14%	27 Aug →
cache	11–13	-0.02	2%	27 Aug →
inferno	11–13	-0.06	5%	26 Aug →
cache	4–13	-0.09	21%	26 Aug →
inferno	6–13	-0.04	5%	25 Aug →
dust2	5–13	0.01	12%	25 Aug →
ancient	12–12	-0.01	15%	25 Aug →
inferno	13–10	0.02	10%	21 Aug →
dust2	13–7	-0.06	12%	21 Aug →
dust2	12–12	-0.01	18%	20 Aug →
nuke	9–13	0.01	12%	20 Aug →
ancient	13–6	0.00	10%	13 Aug →
inferno	13–9	0.02	9%	13 Aug →
nuke	6–13	-0.02	17%	13 Aug →
dust2	5–13	-0.03	31%	13 Aug →
mirage	1–13	-0.10	11%	11 Aug →
dust2	11–13	-0.00	14%	11 Aug →
vertigo	5–13	0.03	10%	3 Aug →
inferno	13–11	-0.01	14%	31 Jul →
anubis	7–13	-0.02	9%	29 Jul →
inferno	9–13	-0.05	9%	29 Jul →
cache	8–13	-0.05	20%	29 Jul →
anubis	9–13	-0.00	12%	28 Jul →
inferno	9–13	0.01	10%	28 Jul →
cache	13–11	0.05	8%	28 Jul →
anubis	12–12	0.00	8%	23 Jul →
nuke	12–12	0.01	11%	22 Jul →
inferno	9–13	-0.05	14%	22 Jul →
cache	4–13	0.02	13%	17 Jul →
dust2	10–13	-0.07	16%	17 Jul →
dust2	13–1	0.01	4%	16 Jul →
dust2	8–3	-0.01	6%	16 Jul →
ancient	5–13	0.12	6%	15 Jul →
dust2	13–11	-0.01	22%	15 Jul →
mirage	13–1	0.05	4%	15 Jul →
office	6–13	-0.03	7%	14 Jul →
inferno	12–12	-0.02	11%	14 Jul →
inferno	8–13	-0.07	5%	14 Jul →
mirage	5–13	-0.02	8%	2 Jul →
cache	13–2	0.06	26%	2 Jul →
cache	12–12	0.02	15%	2 Jul →
inferno	9–1	-0.02	15%	30 Jun →
dust2	13–9	-0.04	18%	25 Jun →
dust2	13–6	0.04	16%	25 Jun →
train	13–3	0.01	23%	23 Jun →
train	11–13	0.03	12%	18 Jun →
dust2	13–5	0.04	19%	16 Jun →
dust2	10–13	0.02	15%	12 Jun →
dust2	3–13	-0.01	12%	10 Jun →
nuke	10–13	-0.07	6%	10 Jun →
vertigo	13–5	0.00	12%	9 Jun →
inferno	13–8	0.05	13%	5 Jun →
dust2	13–3	0.02	13%	5 Jun →
dust2	10–13	-0.01	10%	22 May →
dust2	4–13	-0.05	13%	22 May →
overpass	13–6	0.01	17%	21 May →
overpass	13–10	0.01	14%	20 May →
inferno	6–13	-0.03	7%	20 May →
office	7–13	0.04	5%	19 May →
office	12–12	-0.05	26%	18 May →
inferno	13–7	-0.00	17%	18 May →
dust2	2–13	-0.07	20%	18 May →
nuke	13–11	-0.04	6%	18 May →
office	13–9	-0.07	7%	17 May →
nuke	13–4	0.01	11%	12 May →
cache	12–12	0.02	5%	12 May →
cache	6–13	-0.02	18%	12 May →
cache	9–13	-0.11	16%	12 May →
cache	13–8	0.08	17%	29 Apr →
train	12–12	0.03	11%	28 Apr →
nuke	3–13	-0.02	19%	28 Apr →
dust2	13–6	-0.02	9%	24 Apr →
dust2	3–13	-0.13	13%	24 Apr →
mirage	2–13	-0.09	15%	22 Apr →
train	6–13	-0.05	19%	22 Apr →
dust2	12–12	-0.05	22%	15 Apr →
vertigo	9–13	-0.03	24%	12 Apr →
dust2	3–13	-0.07	14%	12 Apr →
dust2	13–4	0.02	27%	9 Apr →
vertigo	5–13	-0.02	14%	8 Apr →
dust2	7–13	-0.01	18%	3 Apr →
dust2	4–13	-0.06	6%	3 Apr →
anubis	13–4	-0.07	6%	2 Apr →
anubis	13–9	0.08	4%	2 Apr →
dust2	13–7	0.01	17%	1 Apr →
ancient	13–5	-0.02	9%	1 Apr →
mirage	13–6	-0.02	14%	29 Mar →
nuke	13–5	-0.08	19%	29 Mar →
mirage	11–13	0.02	6%	28 Mar →
inferno	2–13	-0.05	10%	28 Mar →
mirage	1–13	-0.05	16%	28 Mar →
dust2	3–13	-0.08	31%	26 Mar →
anubis	10–13	-0.08	12%	24 Mar →
office	12–12	0.03	9%	23 Mar →
ancient	3–13	-0.07	23%	23 Mar →
anubis	9–13	-0.03	11%	23 Mar →
office	10–13	-0.00	8%	21 Mar →
inferno	1–13	-0.08	10%	21 Mar →
ancient	0–13	-0.09	10%	18 Mar →