krovu — CS2 Stats

76561198248273442[U:1:288007714]

240Tracked matches50%Win rate2024Tracked since

CSDB Rating3.1 Learning

Premier CS Rating12,257Blue band · top ~42.9% of ranked players (population est.)

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim33

Positioning40

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY42–57–1Last 10042%Win rateLWWLLWWWWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim3.3

Aggression3.8

Utility3.3

Positioning4.0

Opening Duels0.0

Clutch4.4

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 72% playstyle similarity

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

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. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3

Positioning4.0

Utility3.3

Mechanics2.8

Opening Duels0.3

Win Impact5.0

Composite 3.1/10 (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-0.02+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time635ms−49ms

first ⅓ avg 683ms → last ⅓ avg 635ms

Headshot accuracy14.2%+1.6%

first ⅓ avg 12.6% → last ⅓ avg 14.2%

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 9–0

13–0Biggest win — dust2

5Longest win streak

10–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 55% over 33anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	33	18–15	55%	-0.03
ancient	C	23	9–14	39%	-0.03
dust2	C	16	6–10	38%	-0.03
inferno	B	8	4–4	50%	-0.04
anubis	D	6	2–4	33%	-0.05
nuke	B	6	3–3	50%	-0.03
overpass	—	3	0–3	0%	-0.04
train	—	3	0–3	0%	-0.03
cache	—	2	0–2	0%	-0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

134Matches

49%Win rate

0.73Avg K/D

62.0ADR

41%Headshot %

Clutches & streaks

42%1v1 clutch win

14%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	71	58%	0.72	11.2
Ancient	22	32%	0.70	11.2
Dust2	15	53%	0.68	10.5
Inferno	10	50%	0.98	14.5
Anubis	7	43%	0.74	13.9
Train	4	50%	0.58	12.5
Nuke	3	0%	0.88	17.0
Cache	2	0%	0.47	7.5

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.

14.1%Headshot accuracy

29.0%Accuracy (enemy spotted)

33.6%Spray accuracy

62.7%Counter-strafing

10.6°Preaim

630msReaction time

25.2%T opening success

32.6%CT opening success

0.41Enemies flashed / flash

3.9%Flash assists

8.56HE damage / grenade

2.77Flashes / 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 14.068% — 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 0.415 — 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 25.2026% — below the 40% mark we flag

Spend your practice time on Anubis

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 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	11–13	-0.04	12%	30 Jun →
dust2	13–0	-0.01	31%	18 Jun →
mirage	13–10	-0.03	27%	18 Jun →
inferno	12–16	-0.07	14%	17 Jun →
dust2	11–13	-0.03	21%	15 Jun →
ancient	13–7	0.00	8%	15 Jun →
dust2	13–9	0.02	18%	14 Jun →
inferno	13–11	-0.04	15%	14 Jun →
inferno	13–6	-0.01	10%	11 Jun →
ancient	10–13	-0.06	6%	4 Jun →
mirage	6–13	0.00	2%	3 Jun →
ancient	13–16	-0.05	11%	3 Jun →
mirage	13–16	-0.05	5%	2 Jun →
mirage	13–11	-0.01	5%	2 Jun →
overpass	9–13	-0.02	13%	1 Jun →
mirage	11–13	-0.01	4%	27 May →
inferno	13–9	-0.02	20%	27 May →
mirage	13–6	0.02	12%	26 May →
mirage	6–13	-0.07	25%	25 May →
inferno	13–11	0.02	24%	25 May →
mirage	7–13	-0.03	23%	25 May →
mirage	13–11	0.01	10%	24 May →
dust2	1–13	-0.04	11%	24 May →
ancient	13–9	-0.01	19%	22 May →
anubis	10–13	-0.04	21%	20 May →
ancient	9–13	-0.08	14%	20 May →
anubis	16–13	-0.07	10%	20 May →
dust2	10–13	-0.02	11%	20 May →
mirage	13–9	-0.07	10%	19 May →
mirage	13–11	-0.01	20%	19 May →
ancient	7–2	0.03	11%	18 May →
nuke	11–13	-0.02	7%	17 May →
mirage	7–13	0.00	17%	16 May →
ancient	3–13	-0.07	11%	16 May →
dust2	13–10	-0.03	18%	14 May →
ancient	5–13	-0.03	14%	14 May →
nuke	13–3	0.04	12%	13 May →
inferno	5–13	-0.07	12%	10 May →
cache	10–13	-0.05	13%	8 May →
mirage	7–13	-0.01	11%	7 May →
anubis	10–13	-0.12	7%	7 May →
dust2	4–13	-0.05	18%	7 May →
anubis	13–2	0.01	30%	7 May →
ancient	8–13	-0.07	13%	4 May →
dust2	13–11	-0.07	23%	4 May →
mirage	13–4	-0.04	41%	4 May →
ancient	10–13	0.01	5%	2 May →
dust2	11–4	-0.06	6%	1 May →
dust2	10–13	0.03	17%	29 Apr →
mirage	13–8	0.03	7%	29 Apr →
cache	2–13	-0.00	20%	29 Apr →
mirage	13–10	-0.02	8%	27 Apr →
overpass	7–13	-0.07	13%	26 Apr →
mirage	6–13	-0.07	9%	26 Apr →
anubis	11–13	-0.07	16%	25 Apr →
mirage	13–10	-0.01	20%	23 Apr →
mirage	9–13	-0.04	11%	23 Apr →
nuke	13–6	-0.09	10%	23 Apr →
mirage	13–6	-0.04	7%	20 Feb →
inferno	11–13	-0.03	15%	18 Feb →
ancient	5–13	-0.09	0%	17 Feb →
mirage	9–13	-0.06	32%	17 Feb →
train	13–16	-0.04	23%	7 Nov →
ancient	7–13	-0.06	16%	1 Nov →
mirage	8–13	-0.05	25%	1 Nov →
mirage	5–13	-0.09	12%	26 Oct →
mirage	13–10	-0.06	31%	26 Oct →
ancient	15–15	-0.03	30%	26 Oct →
ancient	16–13	-0.00	19%	26 Oct →
dust2	5–13	-0.09	11%	19 Jun →
mirage	13–10	-0.03	22%	13 Jun →
ancient	13–10	0.00	15%	2 Jun →
ancient	14–16	-0.07	14%	25 May →
train	7–13	-0.03	15%	21 May →
mirage	3–13	-0.04	20%	18 May →
ancient	10–13	-0.08	3%	9 May →
ancient	6–13	-0.03	7%	4 May →
dust2	8–13	-0.08	11%	3 May →
ancient	10–13	-0.04	9%	3 May →
anubis	3–13	-0.02	9%	3 May →
dust2	12–16	-0.00	15%	2 May →
dust2	16–14	-0.04	18%	1 May →
mirage	13–2	-0.03	9%	27 Apr →
mirage	10–3	-0.01	17%	27 Apr →
ancient	13–7	0.01	9%	10 Apr →
ancient	13–9	-0.01	13%	9 Apr →
dust2	8–13	-0.05	16%	9 Apr →
ancient	9–0	0.12	17%	9 Apr →
nuke	7–13	-0.02	9%	8 Apr →
inferno	1–13	-0.09	11%	8 Apr →
mirage	14–16	-0.02	11%	6 Apr →
nuke	16–14	-0.05	14%	6 Apr →
mirage	13–10	-0.03	5%	1 Apr →
nuke	9–13	-0.04	3%	1 Apr →
mirage	13–11	-0.05	9%	31 Mar →
train	8–13	-0.01	7%	30 Mar →
mirage	13–10	-0.04	9%	29 Mar →
ancient	13–11	-0.01	17%	28 Mar →
dust2	11–13	-0.02	13%	22 Mar →
mirage	3–13	-0.03	6%	22 Mar →