Dwarf — CS2 Stats

US76561198215272621[U:1:255006893]Steam profile ↗✓ No bans

1,278Tracked matches46%Win rate2020Tracked since

CSDB Rating3.7 Learning

Premier CS Rating13,928Blue band · top ~34.1% of ranked players (population est.)

CSDB Leaderboard#11919 of 17747 tracked

FaceitLevel 4 · 867 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim57

Positioning36

Utility9

0–100 skill scores via Leetify.

Recent form

COLD53–43–4Last 10053%Win rateLTLLLLLWWT

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

Player DNA

Aim5.7

Aggression2.8

Utility0.9

Positioning3.6

Opening Duels0.0

Clutch2.6

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 69% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 605ms 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

Aim5.7

Positioning3.6

Utility0.9

Mechanics6.1

Opening Duels0.0

Win Impact3.8

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time605ms−14ms

first ⅓ avg 619ms → last ⅓ avg 605ms

Headshot accuracy12.5%−3.4%

first ⅓ avg 15.9% → last ⅓ avg 12.5%

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

0.10Best rating — ancient 13–6

13–1Biggest win — ancient

5Longest win streak

9–9In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 82% over 11mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	25	14–11	56%	-0.00
nuke	S	19	13–6	68%	-0.01
inferno	C	14	6–8	43%	0.01
dust2	D	12	3–9	25%	-0.03
anubis	S	11	9–2	82%	0.02
overpass	D	9	3–6	33%	-0.02
mirage	D	5	1–4	20%	-0.00
vertigo	—	3	2–1	67%	-0.02
cache	—	2	2–0	100%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

315Matches

48%Win rate

0.88Avg K/D

67.5ADR

37%Headshot %

Clutches & streaks

33%1v1 clutch win

15%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	84	46%	0.88	14.1
Mirage	49	51%	0.82	12.9
Nuke	45	56%	0.86	13.5
Inferno	39	46%	0.81	12.8
Anubis	36	56%	0.88	14.6
Dust2	33	33%	1.10	11.6
Vertigo	15	40%	0.90	14.2
Train	5	60%	1.21	12.6

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.

12.4%Headshot accuracy

34.5%Accuracy (enemy spotted)

31.9%Spray accuracy

77.5%Counter-strafing

9.1°Preaim

605msReaction time

24.2%T opening success

26.9%CT opening success

0.12Enemies flashed / flash

0.0%Flash assists

6.06HE damage / grenade

0.78Flashes / 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 12.3886% — 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 0.1151 — below the 0.5 mark we flag
Grenade Lineups →
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 24.2275% — 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.

20% win rate across 5 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
mirage	5–13	-0.01	3%	10 Aug →
inferno	12–12	-0.00	9%	24 Jul →
ancient	4–13	0.01	10%	21 Jul →
mirage	7–13	-0.01	8%	21 Jul →
dust2	6–13	-0.04	14%	20 Jul →
ancient	9–13	0.03	11%	20 Jul →
ancient	11–13	-0.02	13%	20 Jul →
nuke	13–9	0.07	15%	20 Jul →
vertigo	13–6	0.04	14%	18 Jul →
ancient	12–12	-0.08	13%	18 Jul →
dust2	8–13	-0.03	20%	18 Jul →
ancient	13–11	0.01	17%	18 Jul →
dust2	8–13	-0.04	15%	18 Jul →
nuke	13–6	0.02	11%	17 Jul →
inferno	16–12	0.00	10%	17 Jul →
ancient	4–13	-0.09	6%	15 Jul →
nuke	13–7	0.01	16%	15 Jul →
ancient	13–1	0.10	8%	15 Jul →
ancient	3–13	-0.03	13%	14 Jul →
mirage	6–13	-0.03	14%	14 Jul →
nuke	13–10	-0.02	10%	13 Jul →
dust2	13–6	-0.02	15%	13 Jul →
dust2	6–13	-0.02	11%	11 Jul →
ancient	5–13	-0.05	21%	11 Jul →
nuke	13–8	-0.02	11%	11 Jul →
inferno	13–3	0.09	5%	11 Jul →
ancient	10–13	-0.08	9%	11 Jul →
inferno	11–13	-0.05	11%	11 Jul →
anubis	13–1	0.05	23%	11 Jul →
ancient	13–6	0.02	18%	10 Jul →
anubis	13–4	0.05	11%	10 Jul →
dust2	11–13	-0.04	0%	10 Jul →
inferno	13–6	0.03	27%	10 Jul →
nuke	4–13	-0.02	17%	10 Jul →
cache	13–6	-0.00	16%	4 Jul →
inferno	6–13	-0.03	14%	3 Jul →
dust2	12–12	-0.03	24%	2 Jul →
ancient	13–8	0.03	8%	2 Jul →
nuke	10–13	-0.03	9%	2 Jul →
vertigo	5–13	-0.05	8%	1 Jul →
anubis	13–4	-0.00	9%	30 Jun →
ancient	13–11	-0.02	3%	30 Jun →
dust2	8–13	-0.07	7%	30 Jun →
overpass	15–15	0.02	11%	30 Jun →
anubis	13–1	0.01	4%	30 Jun →
dust2	13–7	0.01	17%	29 Jun →
inferno	10–13	0.02	14%	29 Jun →
nuke	13–11	0.04	4%	29 Jun →
cache	13–6	-0.03	7%	29 Jun →
nuke	6–13	-0.02	8%	29 Jun →
ancient	11–13	-0.03	9%	25 Jun →
ancient	13–11	-0.02	6%	25 Jun →
overpass	13–7	0.06	21%	25 Jun →
anubis	13–9	0.03	10%	25 Jun →
anubis	13–8	0.03	18%	24 Jun →
inferno	7–13	-0.01	15%	24 Jun →
overpass	11–13	-0.04	23%	24 Jun →
ancient	6–13	-0.06	13%	22 Jun →
ancient	13–9	0.02	15%	22 Jun →
anubis	13–5	0.02	10%	22 Jun →
nuke	13–10	-0.00	8%	22 Jun →
nuke	3–13	-0.09	0%	20 Jun →
inferno	11–13	0.01	14%	20 Jun →
anubis	13–8	0.03	13%	19 Jun →
overpass	9–13	-0.09	5%	19 Jun →
ancient	14–16	-0.03	13%	19 Jun →
anubis	13–8	0.03	13%	19 Jun →
nuke	13–11	-0.07	9%	19 Jun →
nuke	13–11	-0.00	15%	17 Jun →
ancient	13–8	-0.03	9%	17 Jun →
nuke	6–13	-0.00	8%	17 Jun →
ancient	13–6	0.10	16%	17 Jun →
ancient	13–3	0.01	26%	16 Jun →
nuke	13–4	-0.03	13%	16 Jun →
inferno	0–4	-0.01	25%	16 Jun →
overpass	7–13	0.02	10%	15 Jun →
ancient	13–10	0.03	15%	15 Jun →
nuke	13–11	0.04	20%	14 Jun →
ancient	13–5	0.00	17%	14 Jun →
inferno	13–8	0.05	21%	14 Jun →
overpass	13–5	-0.05	11%	14 Jun →
overpass	11–13	0.00	17%	13 Jun →
nuke	13–7	-0.01	11%	13 Jun →
overpass	13–10	-0.00	22%	13 Jun →
mirage	13–7	-0.03	5%	12 Jun →
ancient	13–5	0.06	6%	12 Jun →
anubis	4–13	-0.01	24%	12 Jun →
inferno	16–14	0.00	19%	11 Jun →
anubis	11–13	-0.02	10%	10 Jun →
nuke	6–13	0.02	14%	10 Jun →
overpass	8–13	-0.09	11%	9 Jun →
dust2	7–13	-0.04	22%	9 Jun →
ancient	13–3	0.09	18%	9 Jun →
inferno	13–11	0.02	6%	9 Jun →
mirage	7–13	0.08	16%	8 Jun →
inferno	1–6	0.00	33%	8 Jun →
dust2	13–7	-0.02	33%	8 Jun →
vertigo	13–10	-0.07	0%	4 Jun →
nuke	13–6	-0.02	24%	4 Jun →
dust2	8–13	-0.02	16%	4 Jun →