<!CarUmba!> — CS2 Stats

76561198041071205[U:1:80805477]✓ No bans

992Tracked matches59%Win rate2020Tracked since

CSDB Rating5.6 Solid

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning50

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateWLLWLWLLWW

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

Player DNA

Aim5.9

Aggression4.9

Utility5.5

Positioning5.0

Opening Duels1.9

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 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

Areas to improve

Reaction time. 673ms 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

Aim5.9

Positioning5.0

Utility5.5

Mechanics6.8

Opening Duels1.9

Win Impact7.9

Composite 5.6/10 (Solid), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time672ms−16ms

first ⅓ avg 689ms → last ⅓ avg 672ms

Headshot accuracy13.1%−0.6%

first ⅓ avg 13.7% → last ⅓ avg 13.1%

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

0.11Best rating — anubis 13–5

13–0Biggest win — inferno

6Longest win streak

10–12In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 79% over 19dust2Weakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	19	15–4	79%	0.02
dust2	D	18	6–12	33%	-0.01
mirage	S	17	11–6	65%	0.00
overpass	B	14	7–7	50%	0.01
nuke	B	13	6–7	46%	-0.00
inferno	B	13	7–6	54%	-0.01
anubis	—	4	3–1	75%	0.02
train	—	2	1–1	50%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

23Matches

57%Win rate

0.90Avg K/D

73.2ADR

39%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	6	67%	1.05	15.8
Mirage	3	0%	0.59	9.3
Train	2	100%	0.94	18.5
Overpass	2	100%	1.66	17.5
Ancient	1	0%	0.70	16.0
Nuke	1	100%	1.27	14.0

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.

13.0%Headshot accuracy

35.8%Accuracy (enemy spotted)

42.3%Spray accuracy

80.6%Counter-strafing

10.7°Preaim

673msReaction time

30.9%T opening success

43.9%CT opening success

0.52Enemies flashed / flash

6.8%Flash assists

6.60HE damage / grenade

10.03Flashes / 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 12.9854% — 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 30.894% — 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.

33% win rate across 18 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
nuke	13–2	-0.04	10%	16 Aug →
mirage	10–13	-0.01	12%	16 Aug →
anubis	8–13	-0.06	7%	14 Aug →
anubis	13–6	-0.01	14%	13 Aug →
dust2	9–13	-0.08	19%	7 Aug →
mirage	13–11	0.01	15%	7 Aug →
dust2	6–13	-0.01	22%	11 Jun →
dust2	6–13	-0.01	13%	8 Jun →
overpass	16–13	-0.02	8%	8 Jun →
mirage	13–11	0.03	8%	25 May →
dust2	8–13	-0.05	13%	25 May →
ancient	13–9	0.00	15%	25 May →
overpass	11–13	-0.03	14%	20 May →
mirage	11–13	-0.04	8%	20 May →
overpass	13–4	0.02	15%	12 May →
anubis	13–7	0.04	12%	12 May →
anubis	13–5	0.11	17%	10 May →
ancient	13–11	0.04	11%	10 May →
inferno	13–9	-0.02	10%	24 Apr →
nuke	11–13	-0.02	25%	6 Apr →
inferno	13–11	-0.03	9%	6 Apr →
ancient	2–13	0.02	12%	3 Apr →
dust2	11–13	-0.03	16%	17 Mar →
overpass	13–3	0.04	19%	17 Mar →
overpass	11–13	-0.01	18%	13 Mar →
overpass	15–15	-0.01	8%	12 Mar →
nuke	13–11	0.04	11%	8 Mar →
ancient	13–8	0.08	14%	5 Mar →
mirage	13–6	0.06	9%	8 Feb →
ancient	13–8	0.03	10%	16 Jan →
overpass	14–16	-0.02	15%	10 Jan →
inferno	9–13	0.01	15%	10 Jan →
overpass	10–13	0.01	7%	7 Jan →
inferno	13–4	0.03	10%	30 Dec →
ancient	13–10	0.04	10%	30 Dec →
dust2	8–13	-0.07	5%	25 Dec →
train	10–13	-0.01	9%	21 Dec →
dust2	13–11	0.03	10%	14 Dec →
ancient	13–8	0.06	6%	14 Dec →
ancient	13–8	0.04	11%	7 Dec →
overpass	9–13	-0.00	7%	7 Dec →
mirage	15–15	-0.01	12%	3 Dec →
ancient	4–13	-0.06	13%	1 Dec →
ancient	13–11	0.04	9%	30 Nov →
inferno	3–13	-0.01	12%	29 Nov →
ancient	15–15	0.04	10%	23 Nov →
mirage	13–4	0.03	11%	23 Nov →
mirage	13–9	0.11	14%	19 Nov →
nuke	13–10	0.00	8%	17 Nov →
ancient	13–4	0.02	6%	16 Nov →
overpass	13–10	-0.02	7%	15 Nov →
inferno	9–13	-0.05	7%	15 Nov →
dust2	9–13	-0.03	14%	12 Nov →
dust2	13–5	-0.01	26%	9 Nov →
inferno	1–13	-0.09	30%	9 Nov →
nuke	4–13	-0.06	13%	8 Nov →
overpass	10–13	-0.04	7%	7 Nov →
mirage	13–7	-0.01	12%	7 Nov →
inferno	13–4	-0.01	17%	7 Nov →
inferno	13–7	0.02	11%	3 Nov →
mirage	13–7	0.02	12%	30 Oct →
inferno	9–13	-0.00	15%	25 Oct →
inferno	13–0	0.04	18%	3 Oct →
dust2	14–16	-0.00	12%	29 Sept →
dust2	11–13	-0.02	14%	26 Sept →
ancient	13–9	0.00	17%	23 Sept →
overpass	13–9	0.05	13%	16 Sept →
ancient	13–5	-0.01	11%	16 Sept →
dust2	11–13	0.02	16%	16 Sept →
ancient	13–4	0.03	14%	15 Sept →
nuke	9–13	-0.05	16%	13 Sept →
mirage	6–13	-0.03	13%	13 Sept →
inferno	9–13	-0.04	3%	13 Sept →
ancient	13–11	-0.03	12%	13 Sept →
nuke	8–13	-0.03	17%	12 Sept →
nuke	11–13	0.01	14%	11 Sept →
dust2	11–13	-0.01	2%	11 Sept →
dust2	13–4	-0.00	18%	11 Sept →
train	13–9	0.05	10%	11 Sept →
mirage	9–13	-0.04	18%	10 Sept →
dust2	13–7	0.05	22%	10 Sept →
nuke	10–13	0.02	11%	10 Sept →
mirage	13–2	-0.01	10%	10 Sept →
nuke	13–8	-0.06	26%	10 Sept →
nuke	13–9	0.06	11%	9 Sept →
ancient	16–14	0.03	10%	9 Sept →
nuke	13–4	0.09	9%	9 Sept →
dust2	11–13	-0.02	17%	9 Sept →
dust2	13–6	0.04	23%	8 Sept →
overpass	13–8	0.06	8%	6 Sept →
inferno	13–4	0.07	6%	6 Sept →
mirage	13–5	-0.00	17%	6 Sept →
dust2	13–1	0.01	14%	6 Sept →
ancient	13–10	0.00	14%	6 Sept →
mirage	10–13	-0.01	20%	5 Sept →
nuke	13–16	0.02	10%	2 Sept →
mirage	13–4	-0.03	17%	2 Sept →
mirage	16–14	-0.01	17%	2 Sept →
ancient	9–13	0.00	19%	31 Aug →
overpass	16–12	0.05	11%	30 Aug →