Jackoff — CS2 Stats

US76561198200468775[U:1:240203047]Steam profile ↗✓ No bans

240Tracked matches56%Win rate2020Tracked since

CSDB Rating5.2 DevelopingHybrid Rifler

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning50

Utility7

0–100 skill scores via Leetify.

Recent form

COLD62–33–5Last 10062%Win rateTLLLLLLWLW

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

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

Aim6.4

Aggression6.7

Utility0.7

Positioning5.0

Opening Duels2.4

Clutch2.6

Limited utility dependence

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 Twistzz 78% playstyle similarity

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

Where you differ: lower aim profile; 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.

Reaction time. 691ms 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

Positioning5.0

Utility0.7

Mechanics8.1

Opening Duels2.4

Win Impact6.9

Composite 5.2/10 (Developing), 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 rating-0.02−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time698ms+27ms

first ⅓ avg 672ms → last ⅓ avg 698ms

Headshot accuracy21.7%+1.4%

first ⅓ avg 20.3% → last ⅓ avg 21.7%

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

0.17Best rating — office 13–3

13–0Biggest win — overpass

11Longest win streak

5–12In matches decided by ≤2 rounds

3Overtime games

Map breakdown

vertigoBest map · 80% over 5anubisWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	21	14–7	67%	0.01
dust2	B	16	8–8	50%	-0.02
anubis	C	13	5–8	38%	-0.03
ancient	A	10	6–4	60%	-0.00
overpass	S	9	6–3	67%	-0.00
train	S	8	6–2	75%	0.02
inferno	A	5	3–2	60%	0.01
vertigo	S	5	4–1	80%	0.02
office	—	4	4–0	100%	0.05
nuke	—	3	3–0	100%	0.08
cache	—	1	0–1	0%	0.05
palacio	—	1	1–0	100%	0.03
jura	—	1	1–0	100%	0.07
grail	—	1	1–0	100%	0.03
italy	—	1	0–1	0%	0.10
basalt	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches

53%Win rate

0.66Avg K/D

73.2ADR

46%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	100%	0.76	13.5
Inferno	1	100%	1.75	14.0

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.

22.2%Headshot accuracy

35.5%Accuracy (enemy spotted)

30.9%Spray accuracy

86.7%Counter-strafing

11.0°Preaim

691msReaction time

39.9%T opening success

39.3%CT opening success

0.18Enemies flashed / flash

4.8%Flash assists

3.86HE damage / grenade

0.73Flashes / 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 0.1778 — 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 39.8914% — 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.

38% win rate across 13 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
ancient	12–12	-0.05	13%	24 Aug →
dust2	11–13	-0.06	17%	24 Jul →
cache	3–7	0.05	12%	29 Apr →
overpass	2–13	-0.03	21%	16 Apr →
mirage	6–13	-0.07	17%	16 Apr →
dust2	7–13	0.00	20%	15 Apr →
ancient	11–13	-0.06	17%	15 Apr →
overpass	16–13	-0.02	17%	15 Apr →
dust2	9–13	-0.09	21%	14 Apr →
anubis	13–9	0.01	8%	14 Apr →
nuke	13–6	0.03	27%	14 Apr →
overpass	13–0	0.02	72%	14 Apr →
anubis	6–13	-0.08	12%	10 Apr →
dust2	11–13	-0.05	31%	7 Apr →
dust2	13–7	0.04	30%	7 Apr →
anubis	6–13	-0.08	28%	7 Apr →
dust2	10–13	-0.06	13%	6 Apr →
mirage	13–5	0.01	31%	6 Apr →
mirage	13–9	0.05	24%	5 Apr →
mirage	13–8	-0.01	29%	5 Apr →
train	13–11	0.05	17%	4 Apr →
overpass	13–11	0.01	31%	3 Apr →
dust2	15–15	-0.02	28%	3 Apr →
mirage	8–13	0.03	25%	3 Apr →
train	13–5	0.08	16%	3 Apr →
mirage	13–6	-0.04	16%	3 Apr →
dust2	13–6	-0.06	14%	26 Jan →
inferno	12–12	-0.07	18%	7 Dec →
dust2	13–6	0.01	23%	7 Dec →
overpass	13–9	0.02	33%	5 Dec →
train	4–13	-0.10	13%	30 Nov →
mirage	13–8	-0.02	20%	29 Nov →
office	13–6	-0.03	3%	28 Nov →
overpass	13–3	0.03	28%	19 Nov →
anubis	13–9	0.02	30%	18 Nov →
overpass	10–13	0.04	22%	18 Nov →
anubis	11–13	0.01	23%	16 Nov →
vertigo	13–9	0.01	11%	3 Nov →
mirage	13–6	0.05	20%	3 Nov →
palacio	4–4	0.03	33%	29 Oct →
office	9–2	0.05	0%	29 Oct →
office	13–3	0.17	26%	29 Oct →
dust2	13–8	-0.01	15%	29 Oct →
train	13–9	0.03	25%	16 Oct →
vertigo	13–0	0.14	29%	16 Oct →
dust2	13–2	0.04	20%	7 Oct →
inferno	13–6	0.01	22%	26 Jun →
anubis	9–13	-0.14	0%	20 May →
train	11–13	-0.01	21%	19 May →
mirage	13–4	-0.00	25%	19 May →
anubis	13–4	0.02	17%	19 May →
ancient	16–12	-0.04	23%	14 May →
mirage	7–13	-0.05	29%	14 May →
jura	13–6	0.07	25%	8 May →
grail	13–9	0.03	24%	8 May →
italy	4–13	0.10	21%	1 May →
anubis	4–13	-0.09	19%	21 Apr →
nuke	13–9	0.08	17%	21 Apr →
dust2	5–13	-0.05	26%	15 Apr →
nuke	13–3	0.13	36%	15 Apr →
mirage	13–0	0.04	27%	15 Apr →
ancient	11–13	-0.07	17%	15 Apr →
mirage	0–11	-0.12	0%	14 Apr →
mirage	13–10	0.04	30%	12 Apr →
anubis	12–12	-0.04	33%	11 Apr →
office	13–7	0.03	41%	11 Apr →
mirage	13–3	0.06	34%	11 Apr →
anubis	13–2	0.01	37%	11 Apr →
mirage	8–13	-0.03	14%	10 Apr →
dust2	3–3	-0.02	6%	9 Apr →
mirage	2–7	-0.01	10%	9 Apr →
mirage	13–6	0.03	20%	9 Apr →
inferno	13–6	0.01	30%	9 Apr →
mirage	11–13	0.05	31%	9 Apr →
mirage	13–4	0.03	26%	8 Apr →
ancient	13–7	0.08	28%	8 Apr →
dust2	13–0	0.05	32%	8 Apr →
ancient	13–4	0.06	23%	6 Apr →
inferno	11–13	0.02	17%	5 Apr →
anubis	10–13	-0.04	30%	4 Apr →
train	13–6	0.07	30%	3 Apr →
basalt	1–1	0.00	0%	3 Apr →
anubis	11–13	0.01	12%	3 Apr →
mirage	13–4	0.14	22%	2 Apr →
dust2	13–10	0.02	25%	2 Apr →
anubis	13–2	0.04	14%	2 Apr →
overpass	12–12	-0.02	11%	2 Apr →
vertigo	6–13	-0.03	36%	2 Apr →
ancient	13–9	-0.04	15%	2 Apr →
vertigo	13–6	-0.05	10%	1 Apr →
dust2	13–11	-0.01	12%	1 Apr →
ancient	13–9	0.03	21%	1 Apr →
train	13–4	0.02	24%	1 Apr →
inferno	13–6	0.09	24%	1 Apr →
ancient	13–2	0.03	17%	30 Mar →
train	13–1	0.05	17%	30 Mar →
mirage	13–7	0.01	18%	30 Mar →
overpass	13–8	-0.08	21%	29 Mar →
vertigo	13–11	0.00	18%	28 Mar →
ancient	11–13	0.04	21%	27 Mar →