😹kr⁧⁧bb — CS2 Stats

NZ76561198063262087[U:1:102996359]Steam profile ↗✓ No bans

1,628Tracked matches53%Win rate2020Tracked since

CSDB Rating5.6 SolidHybrid Rifler

FaceitLevel 8 · 1,607 ELOTop 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning56

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateWWWLWLWLLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim6.7

Aggression6.5

Utility6.2

Positioning5.6

Opening Duels1.7

Clutch4.6

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 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: higher opening-fight frequency; 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. 574ms 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

Aim6.7

Positioning5.6

Utility6.2

Mechanics7.2

Opening Duels1.7

Win Impact6.1

Composite 5.6/10 (Solid), 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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time582ms+33ms

first ⅓ avg 549ms → last ⅓ avg 582ms

Headshot accuracy22.5%−1.7%

first ⅓ avg 24.2% → last ⅓ avg 22.5%

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

0.18Best rating — inferno 13–1

13–1Biggest win — inferno

5Longest win streak

W3Current streak

8–12In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	31	18–13	58%	0.03
dust2	B	30	15–15	50%	0.01
inferno	A	18	10–8	56%	0.03
ancient	C	9	4–5	44%	0.01
anubis	S	7	5–2	71%	0.01
nuke	—	2	2–0	100%	0.01
overpass	—	2	1–1	50%	-0.01
cache	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

148Matches

62%Win rate

1.48Avg K/D

95.8ADR

40%Headshot %

Clutches & streaks

43%1v1 clutch win

29%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	15	73%	1.34	19.0
Mirage	13	77%	1.44	18.5
Inferno	6	33%	1.09	15.8
Ancient	6	50%	0.95	21.2
Nuke	5	80%	1.48	20.2
Anubis	2	50%	1.42	27.0

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.

21.8%Headshot accuracy

30.9%Accuracy (enemy spotted)

32.9%Spray accuracy

82.4%Counter-strafing

10.5°Preaim

574msReaction time

31.1%T opening success

42.6%CT opening success

0.62Enemies flashed / flash

8.9%Flash assists

12.49HE damage / grenade

7.85Flashes / 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.

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 31.0639% — below the 40% mark we flag

Spend your practice time on Ancient

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	0.04	10%	2 Aug →
cache	13–10	0.03	16%	1 Aug →
mirage	13–4	0.10	22%	1 Aug →
anubis	4–13	-0.03	15%	1 Aug →
ancient	13–9	-0.07	29%	2 Jul →
inferno	8–13	0.01	39%	29 Jun →
nuke	13–9	-0.03	15%	29 Jun →
inferno	14–16	0.01	11%	29 Jun →
mirage	14–16	-0.02	23%	27 Jun →
inferno	13–1	0.18	53%	27 Jun →
dust2	13–6	0.01	26%	26 Jun →
dust2	13–10	-0.01	16%	21 Jun →
mirage	8–13	0.09	21%	21 Jun →
nuke	13–11	0.05	23%	20 Jun →
dust2	10–13	0.01	22%	19 Jun →
dust2	13–7	-0.04	39%	18 Jun →
mirage	13–5	-0.02	15%	9 Jun →
mirage	8–13	-0.03	12%	9 Jun →
mirage	9–13	0.01	31%	7 Jun →
inferno	13–10	-0.01	19%	31 May →
mirage	11–13	-0.02	22%	31 May →
dust2	11–13	0.01	14%	30 May →
dust2	6–13	-0.04	23%	30 May →
mirage	13–5	0.02	16%	30 May →
mirage	5–13	0.03	29%	28 May →
inferno	13–11	0.06	26%	26 May →
dust2	5–13	-0.06	25%	23 May →
mirage	4–13	-0.02	12%	23 May →
mirage	13–11	0.01	32%	22 May →
dust2	16–13	0.05	17%	22 May →
ancient	7–13	-0.03	21%	22 May →
mirage	13–8	0.05	27%	20 May →
dust2	7–13	-0.05	25%	19 May →
ancient	13–7	0.02	35%	19 May →
mirage	12–2	0.05	20%	18 May →
ancient	7–13	-0.01	16%	18 May →
dust2	9–13	-0.07	19%	14 May →
anubis	13–7	-0.01	12%	9 May →
dust2	13–8	0.12	25%	9 May →
anubis	13–11	0.01	20%	8 May →
mirage	13–10	0.08	29%	8 May →
dust2	11–13	0.02	28%	8 May →
dust2	9–13	0.03	26%	8 May →
mirage	13–2	0.05	15%	8 May →
dust2	13–7	0.05	20%	8 May →
mirage	13–5	-0.03	20%	7 May →
mirage	14–16	0.03	18%	7 May →
dust2	13–11	0.05	26%	7 May →
mirage	6–13	-0.03	21%	6 May →
mirage	13–5	0.03	19%	6 May →
ancient	3–13	-0.03	22%	6 May →
dust2	13–10	-0.03	19%	4 May →
mirage	13–9	-0.06	22%	4 May →
dust2	11–13	0.05	28%	27 Apr →
overpass	2–8	-0.01	14%	27 Apr →
ancient	13–7	0.15	20%	26 Apr →
inferno	13–6	0.15	25%	26 Apr →
inferno	11–13	-0.04	13%	26 Apr →
dust2	13–11	0.02	21%	26 Apr →
mirage	8–13	0.01	16%	26 Apr →
dust2	5–13	-0.01	25%	26 Apr →
mirage	16–12	0.06	37%	26 Apr →
anubis	13–10	-0.03	20%	25 Apr →
dust2	13–6	-0.04	18%	25 Apr →
inferno	13–4	0.01	29%	25 Apr →
mirage	13–8	0.01	19%	23 Apr →
dust2	9–13	0.04	39%	23 Apr →
mirage	13–4	0.11	44%	22 Apr →
mirage	15–15	0.03	21%	21 Apr →
dust2	13–6	0.10	25%	21 Apr →
mirage	10–13	0.05	16%	19 Apr →
inferno	8–13	0.01	29%	19 Apr →
dust2	5–13	0.01	24%	19 Apr →
overpass	13–7	-0.01	13%	14 Apr →
anubis	13–11	0.15	29%	13 Apr →
dust2	10–13	-0.01	24%	13 Apr →
inferno	13–11	-0.03	33%	13 Apr →
inferno	5–13	-0.01	28%	12 Apr →
anubis	11–13	0.02	29%	12 Apr →
dust2	13–7	0.01	26%	12 Apr →
mirage	6–13	0.04	27%	12 Apr →
inferno	11–13	-0.01	17%	12 Apr →
inferno	4–13	-0.06	25%	11 Apr →
inferno	13–2	0.16	23%	7 Apr →
ancient	13–3	0.01	24%	7 Apr →
dust2	13–7	0.05	26%	5 Apr →
inferno	13–6	0.05	17%	5 Apr →
dust2	9–13	-0.07	24%	5 Apr →
ancient	11–13	0.01	29%	5 Apr →
mirage	13–10	0.07	18%	5 Apr →
dust2	13–9	0.02	32%	4 Apr →
mirage	16–13	0.01	30%	4 Apr →
anubis	13–7	-0.00	24%	4 Apr →
ancient	11–13	0.03	15%	3 Apr →
dust2	3–13	-0.06	11%	3 Apr →
mirage	13–5	0.13	34%	3 Apr →
inferno	10–13	-0.03	27%	3 Apr →
dust2	13–10	0.10	22%	2 Apr →
inferno	8–1	0.03	14%	2 Apr →
mirage	13–9	0.01	19%	2 Apr →