jabby — CS2 Stats

HR76561198123655260[U:1:163389532]Steam profile ↗

616Tracked matches57%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim82

Positioning57

Utility41

0–100 skill scores via Leetify.

Recent form

HOT52–48Last 10052%Win rateWLWWLWWWWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating

Player DNA

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

Aim8.2

Aggression5.1

Utility4.1

Positioning5.7

Opening Duels2.1

Clutch2.4

Strong CT-side opener

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 91% playstyle similarity

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

Where you differ: 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.

T-side openings. Opening success drops from 51% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim8.2

Positioning5.7

Utility4.1

Mechanics7.4

Opening Duels2.6

Win Impact7.2

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time584ms−26ms

first ⅓ avg 610ms → last ⅓ avg 584ms

Headshot accuracy21.3%−3.3%

first ⅓ avg 24.6% → last ⅓ avg 21.3%

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

0.14Best rating — dust2 13–2

13–0Biggest win — dust2

6Longest win streak

8–14In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 56% over 16mirageWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	38	21–17	55%	0.01
anubis	A	16	9–7	56%	-0.00
nuke	B	13	6–7	46%	-0.01
mirage	C	11	4–7	36%	-0.01
cache	A	9	5–4	56%	0.01
ancient	C	7	3–4	43%	-0.01
vertigo	—	2	1–1	50%	-0.03
inferno	—	2	2–0	100%	0.02
overpass	—	1	1–0	100%	0.01
train	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

250Matches

53%Win rate

1.12Avg K/D

87.2ADR

44%Headshot %

Clutches & streaks

32%1v1 clutch win

36%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	28	68%	1.34	17.4
Inferno	24	50%	1.09	17.2
Nuke	19	47%	1.21	15.5
Anubis	12	58%	1.21	17.3
Overpass	11	82%	1.49	18.8
Mirage	9	33%	1.20	17.3
Ancient	7	57%	1.42	21.4
Train	3	33%	1.18	20.7

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.

21.3%Headshot accuracy

37.1%Accuracy (enemy spotted)

42.0%Spray accuracy

83.2%Counter-strafing

9.9°Preaim

573msReaction time

25.5%T opening success

51.0%CT opening success

0.45Enemies flashed / flash

11.1%Flash assists

7.43HE damage / grenade

5.99Flashes / 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.

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 0.4519 — 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 25.4703% — 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.

36% win rate across 11 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
dust2	13–2	0.00	23%	29 Aug →
nuke	13–16	-0.04	20%	29 Aug →
cache	13–7	-0.03	17%	29 Aug →
cache	13–7	-0.00	27%	29 Aug →
cache	11–13	0.04	18%	20 Aug →
nuke	7–0	0.11	21%	20 Aug →
dust2	13–7	0.02	20%	18 Aug →
nuke	13–6	-0.02	36%	18 Aug →
dust2	13–6	-0.01	19%	6 Aug →
dust2	13–5	0.04	19%	6 Aug →
dust2	14–16	-0.05	22%	30 Jul →
dust2	7–13	0.02	25%	28 Jul →
cache	10–13	-0.04	24%	11 Jul →
dust2	13–3	-0.01	19%	11 Jul →
ancient	14–16	0.03	22%	17 Jun →
dust2	11–13	0.00	19%	11 Jun →
mirage	8–13	-0.02	29%	10 Jun →
mirage	9–13	-0.04	24%	10 Jun →
dust2	13–8	-0.01	26%	6 Jun →
ancient	13–7	0.02	21%	6 Jun →
dust2	13–10	-0.07	13%	6 Jun →
anubis	16–14	0.03	21%	5 Jun →
mirage	16–13	-0.04	23%	5 Jun →
nuke	13–1	-0.02	8%	5 Jun →
anubis	4–13	-0.06	12%	5 Jun →
ancient	9–13	-0.02	19%	5 Jun →
anubis	13–6	0.01	18%	2 Jun →
dust2	13–5	0.02	25%	1 Jun →
dust2	8–13	-0.03	23%	30 May →
dust2	11–13	0.04	22%	30 May →
cache	6–13	-0.03	22%	30 May →
cache	13–4	0.04	31%	29 May →
vertigo	13–11	-0.03	18%	29 May →
anubis	10–13	-0.11	17%	28 May →
anubis	13–6	0.03	26%	28 May →
dust2	13–0	0.00	9%	28 May →
anubis	11–13	0.00	27%	27 May →
overpass	13–7	0.01	28%	27 May →
mirage	9–13	-0.01	24%	23 May →
anubis	9–13	0.01	11%	23 May →
ancient	8–13	-0.02	22%	23 May →
nuke	11–13	-0.03	26%	22 May →
ancient	7–13	-0.05	19%	22 May →
dust2	13–3	0.05	19%	22 May →
dust2	8–13	0.02	28%	22 May →
nuke	13–9	-0.03	31%	22 May →
dust2	13–9	-0.00	23%	22 May →
dust2	0–5	-0.07	40%	22 May →
anubis	16–14	0.10	32%	21 May →
inferno	16–12	0.02	19%	12 May →
anubis	13–9	0.01	16%	12 May →
cache	4–13	0.03	22%	9 May →
mirage	7–13	-0.00	18%	9 May →
dust2	11–13	-0.01	19%	9 May →
nuke	11–13	-0.04	35%	8 May →
dust2	13–6	0.01	34%	7 May →
dust2	7–13	-0.02	24%	7 May →
anubis	3–13	-0.04	22%	7 May →
mirage	19–16	0.03	15%	5 May →
nuke	11–13	0.01	25%	2 May →
ancient	13–9	-0.02	18%	2 May →
anubis	13–11	-0.00	24%	1 May →
cache	13–9	0.04	25%	1 May →
dust2	0–2	-0.02	0%	28 Apr →
dust2	13–10	-0.02	26%	28 Apr →
dust2	13–2	0.14	39%	28 Apr →
nuke	11–13	-0.06	27%	25 Apr →
anubis	13–2	0.03	32%	25 Apr →
dust2	13–11	0.03	28%	25 Apr →
dust2	2–13	0.01	25%	25 Apr →
dust2	13–10	0.01	32%	24 Apr →
dust2	14–16	0.05	15%	24 Apr →
dust2	5–13	-0.03	24%	23 Apr →
dust2	13–8	0.08	25%	23 Apr →
inferno	13–7	0.01	20%	21 Apr →
nuke	7–13	-0.02	32%	18 Apr →
anubis	13–9	-0.02	19%	18 Apr →
anubis	13–8	0.05	13%	18 Apr →
dust2	13–11	-0.00	32%	18 Apr →
nuke	13–11	-0.01	30%	15 Apr →
vertigo	11–13	-0.02	17%	12 Apr →
mirage	13–4	0.06	25%	9 Apr →
cache	13–9	0.03	39%	7 Apr →
dust2	13–4	0.14	22%	7 Apr →
dust2	6–13	0.06	26%	4 Apr →
nuke	8–13	0.05	33%	4 Apr →
train	5–13	-0.02	16%	1 Apr →
dust2	13–9	0.02	23%	1 Apr →
mirage	10–13	-0.06	18%	29 Mar →
anubis	8–13	-0.03	13%	28 Mar →
anubis	5–13	-0.08	17%	26 Mar →
dust2	4–13	-0.00	26%	26 Mar →
mirage	3–0	0.04	60%	26 Mar →
nuke	13–5	-0.05	18%	25 Mar →
dust2	2–13	-0.05	22%	21 Mar →
ancient	13–11	0.01	23%	21 Mar →
dust2	13–10	0.05	40%	16 Mar →
dust2	10–13	-0.02	17%	16 Mar →
mirage	9–13	-0.06	14%	16 Mar →
mirage	9–13	0.04	15%	3 Mar →