Kobbii — CS2 Stats

IS76561198121040350[U:1:160774622]Steam profile ↗✓ No bans

1,715Tracked matches54%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

FaceitLevel 9 · 2,070 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

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

Aim64

Positioning55

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLWWLWLWTWL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

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

Aim6.4

Aggression7.1

Utility4.8

Positioning5.5

Opening Duels3.6

Clutch3.6

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 ropz 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 604ms 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

Aim6.4

Positioning5.5

Utility4.8

Mechanics5.2

Opening Duels3.6

Win Impact6.2

Composite 5.5/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time607ms−14ms

first ⅓ avg 621ms → last ⅓ avg 607ms

Headshot accuracy11.8%−4.7%

first ⅓ avg 16.5% → last ⅓ avg 11.8%

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

0.24Best rating — cache 13–4

13–0Biggest win — anubis

5Longest win streak

10–4In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 73% over 11dust2Weakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	22	10–12	45%	0.01
nuke	S	19	13–6	68%	0.03
cache	B	15	8–7	53%	0.04
dust2	D	12	3–9	25%	-0.01
anubis	S	11	8–3	73%	0.04
inferno	S	7	5–2	71%	0.02
overpass	S	6	4–2	67%	-0.00
mirage	C	5	2–3	40%	0.02
fachwerk	—	1	0–1	0%	0.09
train	—	1	0–1	0%	-0.06
vertigo	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

381Matches

56%Win rate

1.15Avg K/D

85.9ADR

40%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	66	50%	1.15	17.1
Dust2	48	56%	1.11	15.8
Nuke	41	68%	1.19	17.1
Anubis	37	54%	1.23	17.0
Mirage	35	49%	1.04	15.8
Inferno	32	56%	1.06	17.1
Train	24	62%	1.26	17.0
Overpass	18	56%	1.28	15.8

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.

12.3%Headshot accuracy

39.3%Accuracy (enemy spotted)

42.8%Spray accuracy

73.3%Counter-strafing

10.7°Preaim

604msReaction time

38.7%T opening success

50.1%CT opening success

0.60Enemies flashed / flash

9.9%Flash assists

6.37HE damage / grenade

5.69Flashes / 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 12.2815% — 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 38.7231% — 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.

25% win rate across 12 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	7–13	-0.02	13%	25 Jul →
ancient	13–11	0.05	15%	25 Jul →
dust2	13–8	-0.00	22%	25 Jul →
ancient	9–13	-0.01	14%	25 Jul →
anubis	13–0	0.13	4%	24 Jul →
cache	6–13	-0.05	15%	24 Jul →
nuke	13–6	-0.00	8%	12 Jul →
ancient	12–12	-0.00	15%	11 Jul →
anubis	13–7	0.11	21%	11 Jul →
fachwerk	6–13	0.09	17%	11 Jul →
nuke	13–8	0.06	15%	10 Jul →
cache	13–4	0.08	14%	10 Jul →
ancient	6–13	0.01	19%	25 Jun →
anubis	13–5	-0.01	6%	25 Jun →
inferno	13–8	-0.04	5%	13 May →
anubis	13–11	-0.00	7%	13 May →
ancient	10–13	0.00	10%	13 May →
inferno	13–1	-0.01	4%	12 May →
ancient	13–9	-0.03	13%	11 May →
anubis	8–13	-0.01	14%	11 May →
mirage	13–7	0.02	9%	11 May →
cache	10–13	-0.07	11%	10 May →
cache	8–13	-0.01	12%	10 May →
nuke	13–10	0.09	13%	10 May →
dust2	3–13	-0.05	3%	10 May →
cache	12–12	0.01	14%	10 May →
nuke	9–13	0.06	14%	10 May →
dust2	14–16	0.01	15%	9 May →
mirage	10–13	0.03	6%	9 May →
ancient	13–4	0.14	14%	9 May →
cache	13–4	0.24	13%	9 May →
nuke	13–8	0.11	10%	9 May →
anubis	5–13	0.03	6%	9 May →
ancient	3–13	-0.05	10%	9 May →
overpass	6–13	-0.04	8%	9 May →
inferno	10–13	-0.00	27%	9 May →
nuke	16–13	-0.04	13%	9 May →
mirage	13–9	0.00	22%	9 May →
ancient	13–11	0.02	8%	9 May →
cache	13–6	0.07	26%	9 May →
inferno	13–7	0.05	10%	9 May →
train	2–13	-0.06	17%	8 May →
vertigo	12–12	0.02	19%	8 May →
cache	9–13	0.06	10%	8 May →
dust2	13–9	0.01	14%	8 May →
dust2	14–16	-0.00	12%	8 May →
nuke	9–13	0.06	6%	7 May →
overpass	16–13	-0.04	9%	7 May →
ancient	13–1	-0.02	13%	7 May →
cache	13–7	0.01	13%	7 May →
ancient	2–13	0.08	9%	7 May →
mirage	7–13	0.06	20%	6 May →
nuke	13–11	0.11	10%	6 May →
nuke	13–10	-0.00	21%	6 May →
inferno	13–8	0.08	18%	6 May →
ancient	7–13	-0.01	16%	6 May →
anubis	16–14	0.03	10%	5 May →
ancient	8–13	0.00	12%	5 May →
inferno	13–4	0.04	9%	5 May →
nuke	10–13	0.00	11%	4 May →
overpass	10–13	-0.03	16%	3 May →
ancient	13–11	-0.00	16%	3 May →
ancient	8–13	-0.07	14%	3 May →
dust2	7–13	-0.01	31%	3 May →
anubis	13–5	0.08	15%	3 May →
dust2	3–13	0.01	27%	3 May →
nuke	13–3	0.04	14%	2 May →
ancient	13–2	0.08	20%	2 May →
nuke	13–8	-0.04	17%	2 May →
anubis	13–8	0.02	19%	2 May →
cache	13–8	0.07	6%	2 May →
dust2	12–16	-0.06	10%	2 May →
nuke	16–14	0.04	12%	2 May →
cache	11–13	0.02	22%	2 May →
dust2	6–13	0.01	13%	2 May →
nuke	13–7	0.09	17%	1 May →
mirage	10–13	-0.03	27%	1 May →
overpass	13–10	-0.00	16%	1 May →
ancient	13–8	0.02	12%	1 May →
nuke	10–13	-0.02	12%	1 May →
cache	13–10	0.08	18%	1 May →
ancient	6–13	0.03	27%	1 May →
overpass	13–5	0.09	29%	1 May →
dust2	16–14	0.01	15%	30 Apr →
inferno	9–13	0.02	11%	30 Apr →
ancient	13–6	0.04	10%	30 Apr →
ancient	6–13	-0.05	14%	29 Apr →
dust2	10–13	0.00	30%	29 Apr →
cache	11–13	-0.01	17%	29 Apr →
cache	13–10	0.13	24%	29 Apr →
cache	13–8	0.03	15%	29 Apr →
overpass	13–11	0.02	20%	28 Apr →
ancient	8–13	0.02	12%	28 Apr →
ancient	13–8	0.06	11%	27 Apr →
nuke	13–5	0.03	15%	26 Apr →
anubis	13–11	0.03	8%	26 Apr →
nuke	9–13	-0.02	19%	26 Apr →
nuke	13–3	0.06	17%	26 Apr →
dust2	8–13	0.01	17%	26 Apr →
anubis	10–13	-0.01	16%	26 Apr →