JackSparrow — CS2 Stats

76561199095201610[U:1:1134935882]Steam profile ↗✓ No bans

2,045Tracked matches46%Win rate2020Tracked since

CSDB Rating5.0 DevelopingPassive Rifler

Premier CS Rating12,590Blue band · top ~41.2% of ranked players (population est.)

CSDB Leaderboard#19293 of 27949 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning35

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY56–36–8Last 10056%Win rateWLLLLWLLWW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim6.7

Aggression3.4

Utility5.5

Positioning3.5

Opening Duels0.6

Clutch4.4

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 82% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 662ms 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

Positioning3.5

Utility5.5

Mechanics7.5

Opening Duels1.9

Win Impact3.8

Composite 5.0/10 (Developing), 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-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time658ms+3ms

first ⅓ avg 655ms → last ⅓ avg 658ms

Headshot accuracy17.8%−0.3%

first ⅓ avg 18.1% → last ⅓ avg 17.8%

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

0.18Best rating — eldorado 7–9

13–1Biggest win — ancient

12Longest win streak

8–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 88% over 8anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	27	17–10	63%	-0.00
cache	A	16	9–7	56%	0.00
mirage	B	12	6–6	50%	0.00
ancient	D	9	3–6	33%	-0.01
nuke	S	8	7–1	88%	0.02
inferno	S	8	7–1	88%	0.01
anubis	D	7	2–5	29%	-0.01
office	C	5	2–3	40%	0.01
overpass	—	2	1–1	50%	-0.03
train	—	2	0–2	0%	-0.02
eldorado	—	2	1–1	50%	0.11
vertigo	—	1	1–0	100%	0.00
boulder	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

157Matches

48%Win rate

1.03Avg K/D

70.2ADR

48%Headshot %

Clutches & streaks

42%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	47	47%	1.19	14.2
Dust2	41	41%	0.92	14.4
Nuke	16	44%	0.82	12.5
Inferno	13	62%	1.00	16.3
Overpass	12	67%	1.16	11.8
Ancient	10	50%	0.96	16.4
Anubis	8	38%	1.02	15.3
Cache	8	38%	0.96	15.9

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.

17.1%Headshot accuracy

38.7%Accuracy (enemy spotted)

35.6%Spray accuracy

83.8%Counter-strafing

10.9°Preaim

662msReaction time

19.5%T opening success

45.0%CT opening success

0.48Enemies flashed / flash

4.3%Flash assists

7.82HE damage / grenade

16.04Flashes / 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 0.4761 — 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 19.5089% — 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.

29% win rate across 7 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
cache	13–5	-0.01	20%	27 Aug →
overpass	8–13	-0.08	5%	27 Aug →
mirage	2–13	-0.04	10%	27 Aug →
train	9–13	-0.05	18%	27 Aug →
train	1–7	0.02	23%	24 Aug →
nuke	13–4	-0.02	10%	23 Aug →
dust2	2–5	-0.03	13%	22 Aug →
cache	1–13	-0.05	18%	22 Aug →
cache	13–2	-0.03	0%	22 Aug →
dust2	13–9	-0.10	9%	22 Aug →
mirage	13–2	-0.00	18%	22 Aug →
dust2	13–8	-0.06	13%	21 Aug →
dust2	12–12	0.03	20%	21 Aug →
mirage	13–5	-0.02	14%	21 Aug →
anubis	2–13	-0.12	13%	15 Aug →
dust2	12–12	-0.01	22%	15 Aug →
cache	7–13	-0.10	37%	15 Aug →
mirage	7–13	-0.07	10%	15 Aug →
ancient	13–6	-0.01	17%	15 Aug →
dust2	5–13	-0.06	12%	12 Aug →
vertigo	13–10	0.00	16%	10 Aug →
cache	3–9	-0.05	27%	6 Aug →
cache	9–13	0.01	23%	6 Aug →
dust2	9–13	-0.04	19%	6 Aug →
cache	13–8	-0.03	24%	5 Aug →
dust2	13–11	-0.02	10%	2 Aug →
cache	8–13	0.05	17%	30 Jul →
dust2	13–7	0.03	22%	30 Jul →
cache	9–13	0.07	38%	29 Jul →
nuke	13–8	0.10	10%	29 Jul →
anubis	12–12	0.04	26%	29 Jul →
cache	13–3	0.02	33%	29 Jul →
cache	13–6	0.07	20%	29 Jul →
inferno	13–9	0.03	13%	29 Jul →
dust2	13–9	0.06	24%	29 Jul →
inferno	13–5	0.08	20%	28 Jul →
nuke	13–9	0.08	15%	28 Jul →
ancient	13–1	0.05	23%	28 Jul →
dust2	13–5	-0.04	14%	28 Jul →
dust2	13–8	0.03	16%	28 Jul →
dust2	13–4	0.07	29%	28 Jul →
dust2	13–7	0.06	9%	27 Jul →
inferno	13–10	0.06	19%	27 Jul →
ancient	15–15	-0.01	20%	26 Jul →
mirage	13–11	0.02	20%	26 Jul →
inferno	13–8	-0.04	23%	26 Jul →
eldorado	7–9	0.18	16%	26 Jul →
eldorado	9–6	0.03	12%	26 Jul →
dust2	13–6	0.02	13%	25 Jul →
dust2	3–13	-0.03	19%	25 Jul →
mirage	14–16	0.01	12%	25 Jul →
dust2	13–6	0.08	13%	25 Jul →
inferno	6–13	-0.07	0%	24 Jul →
ancient	2–13	-0.06	29%	24 Jul →
nuke	9–13	-0.03	27%	23 Jul →
office	13–11	-0.01	29%	23 Jul →
office	13–7	0.07	37%	23 Jul →
boulder	7–13	-0.01	37%	23 Jul →
anubis	4–13	-0.05	21%	23 Jul →
dust2	13–9	0.01	13%	23 Jul →
ancient	13–9	-0.03	20%	23 Jul →
anubis	13–8	0.09	24%	22 Jul →
anubis	13–8	-0.01	32%	22 Jul →
mirage	13–9	-0.02	17%	20 Jul →
cache	13–9	0.06	24%	20 Jul →
anubis	4–13	0.04	11%	20 Jul →
ancient	8–13	0.03	19%	19 Jul →
nuke	13–5	0.12	10%	19 Jul →
dust2	13–3	0.08	22%	19 Jul →
inferno	13–8	0.03	20%	19 Jul →
mirage	10–13	0.05	9%	19 Jul →
overpass	13–7	0.02	12%	16 Jul →
nuke	13–8	-0.04	15%	16 Jul →
cache	13–7	-0.02	13%	16 Jul →
dust2	5–13	-0.03	23%	16 Jul →
dust2	8–13	-0.04	19%	15 Jul →
mirage	13–11	0.06	17%	15 Jul →
ancient	7–13	-0.06	11%	15 Jul →
dust2	7–13	-0.02	22%	15 Jul →
office	12–12	-0.03	29%	14 Jul →
anubis	9–13	-0.05	20%	14 Jul →
nuke	13–2	-0.02	13%	14 Jul →
dust2	16–14	0.03	18%	14 Jul →
dust2	13–11	-0.03	10%	14 Jul →
ancient	10–13	-0.02	14%	13 Jul →
cache	13–10	0.01	17%	12 Jul →
dust2	13–16	-0.04	15%	12 Jul →
dust2	13–4	-0.01	19%	12 Jul →
mirage	2–12	-0.02	16%	12 Jul →
inferno	16–14	-0.00	26%	11 Jul →
dust2	13–11	-0.01	25%	11 Jul →
inferno	13–9	0.00	16%	10 Jul →
cache	11–13	0.01	14%	10 Jul →
mirage	15–15	0.07	14%	9 Jul →
office	9–13	-0.03	16%	9 Jul →
cache	13–4	0.06	32%	8 Jul →
office	12–12	0.04	16%	8 Jul →
mirage	13–7	0.01	21%	7 Jul →
nuke	13–10	0.01	24%	7 Jul →
ancient	12–12	-0.03	28%	7 Jul →