Sillyjackson — CS2 Stats

76561198100642656[U:1:140376928]

1,323Tracked matches52%Win rate2021Tracked since

CSDB Rating3.5 Learning

Premier CS Rating9,447Light Blue band · top ~57.5% of ranked players (population est.)

CSDB Leaderboard#19773 of 26729 tracked

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning36

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLLWLWWWWWL

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

Player DNA

Aim3.9

Aggression2.6

Utility5.2

Positioning3.6

Opening Duels0.0

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 74% 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

Reaction time. 610ms 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

Aim3.9

Positioning3.6

Utility5.2

Mechanics4.6

Opening Duels0.0

Win Impact5.6

Composite 3.5/10 (Learning), 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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time618ms−32ms

first ⅓ avg 651ms → last ⅓ avg 618ms

Headshot accuracy11.4%−0.4%

first ⅓ avg 11.9% → last ⅓ avg 11.4%

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 8–2

13–2Biggest win — ancient

5Longest win streak

L2Current streak

6–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 59% over 17mirageWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	12–18	40%	-0.01
ancient	A	17	10–7	59%	-0.01
cache	B	12	6–6	50%	-0.01
anubis	A	11	6–5	55%	-0.01
inferno	B	10	5–5	50%	-0.03
mirage	D	9	3–6	33%	-0.02
nuke	C	7	3–4	43%	-0.03
poseidon	—	2	1–1	50%	-0.05
debris	—	1	1–0	100%	-0.01
overpass	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches

38%Win rate

0.79Avg K/D

71.6ADR

36%Headshot %

Clutches & streaks

43%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	5	40%	0.82	13.6
Overpass	4	50%	0.92	13.3
Mirage	3	33%	0.81	8.7
Vertigo	2	0%	0.62	10.5
Dust2	2	50%	0.59	12.0

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.

11.4%Headshot accuracy

34.8%Accuracy (enemy spotted)

38.3%Spray accuracy

70.6%Counter-strafing

14.0°Preaim

610msReaction time

21.9%T opening success

28.6%CT opening success

0.47Enemies flashed / flash

7.7%Flash assists

12.88HE damage / grenade

8.18Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.0085° — above the 12° mark we flag
Aim Training →
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 11.3504% — below the 15% mark we flag
Aim Training →
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 0.4687 — below the 0.5 mark we flag
Grenade Lineups →

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.

33% win rate across 9 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
nuke	9–13	-0.00	14%	28 Aug →
dust2	6–13	0.03	19%	28 Aug →
debris	9–6	-0.01	6%	28 Aug →
dust2	9–13	-0.04	17%	27 Aug →
cache	13–8	-0.06	7%	27 Aug →
ancient	13–9	-0.05	16%	27 Aug →
mirage	13–11	-0.03	10%	26 Aug →
dust2	13–3	0.05	11%	26 Aug →
inferno	13–9	-0.03	18%	25 Aug →
dust2	10–13	0.01	13%	25 Aug →
anubis	13–9	-0.03	11%	25 Aug →
ancient	13–5	0.00	14%	25 Aug →
dust2	10–13	-0.02	10%	24 Aug →
mirage	10–13	-0.03	7%	24 Aug →
mirage	15–15	-0.00	11%	24 Aug →
anubis	13–3	0.03	22%	23 Aug →
inferno	13–7	-0.01	6%	19 Aug →
ancient	13–4	-0.02	15%	19 Aug →
nuke	8–13	-0.09	11%	19 Aug →
ancient	13–7	0.01	9%	19 Aug →
mirage	11–13	-0.06	12%	19 Aug →
cache	14–16	-0.03	7%	18 Aug →
poseidon	9–7	-0.09	11%	18 Aug →
cache	13–7	0.03	7%	18 Aug →
ancient	14–16	-0.05	9%	18 Aug →
inferno	11–13	-0.03	12%	17 Aug →
anubis	10–13	0.04	14%	17 Aug →
dust2	8–13	-0.04	8%	17 Aug →
nuke	16–14	-0.01	8%	17 Aug →
dust2	7–13	-0.02	11%	13 Aug →
dust2	9–4	0.00	3%	12 Aug →
ancient	13–5	-0.01	11%	12 Aug →
cache	13–10	-0.02	16%	11 Aug →
poseidon	8–8	-0.02	5%	11 Aug →
dust2	13–7	0.01	13%	10 Aug →
mirage	13–6	0.03	6%	10 Aug →
ancient	13–10	-0.01	11%	8 Aug →
inferno	10–13	-0.05	16%	8 Aug →
dust2	15–15	-0.03	8%	8 Aug →
dust2	13–4	0.04	8%	8 Aug →
dust2	5–13	-0.07	18%	8 Aug →
anubis	9–13	-0.03	8%	8 Aug →
nuke	13–6	-0.05	16%	7 Aug →
dust2	7–13	-0.03	8%	7 Aug →
dust2	8–2	0.14	12%	6 Aug →
cache	11–13	0.03	24%	6 Aug →
ancient	13–2	-0.03	25%	6 Aug →
anubis	13–9	-0.01	6%	5 Aug →
cache	7–13	-0.04	17%	5 Aug →
dust2	13–6	-0.06	11%	4 Aug →
ancient	13–9	-0.04	12%	4 Aug →
inferno	13–10	0.02	22%	4 Aug →
dust2	11–13	-0.05	13%	4 Aug →
cache	7–13	-0.02	16%	4 Aug →
dust2	12–16	-0.04	17%	4 Aug →
anubis	10–13	-0.00	13%	3 Aug →
nuke	7–13	-0.03	13%	3 Aug →
cache	9–13	-0.07	12%	2 Aug →
anubis	14–16	0.03	13%	2 Aug →
ancient	13–10	0.08	21%	2 Aug →
ancient	5–13	-0.05	9%	2 Aug →
ancient	15–15	0.01	11%	2 Aug →
nuke	13–8	-0.04	10%	2 Aug →
dust2	2–13	0.00	17%	2 Aug →
ancient	10–13	0.01	19%	1 Aug →
dust2	13–5	0.12	18%	1 Aug →
mirage	13–6	0.07	16%	1 Aug →
mirage	6–13	0.01	11%	1 Aug →
dust2	13–5	-0.00	12%	25 Jul →
dust2	11–13	-0.04	10%	25 Jul →
nuke	10–13	-0.02	8%	25 Jul →
mirage	10–13	-0.09	13%	25 Jul →
anubis	13–11	-0.03	19%	21 Jul →
cache	15–15	-0.03	13%	21 Jul →
cache	13–9	0.02	13%	14 Jul →
inferno	10–13	-0.03	15%	14 Jul →
ancient	14–16	0.01	6%	13 Jul →
dust2	10–13	-0.05	7%	13 Jul →
dust2	7–13	-0.07	10%	9 Jul →
mirage	10–13	-0.03	14%	9 Jul →
anubis	16–12	-0.02	13%	9 Jul →
cache	13–10	-0.01	13%	9 Jul →
dust2	11–13	-0.05	30%	9 Jul →
cache	13–5	0.04	16%	8 Jul →
inferno	13–6	-0.06	11%	1 Jul →
ancient	3–13	-0.06	12%	1 Jul →
ancient	13–3	-0.02	11%	30 Jun →
dust2	13–5	0.00	6%	30 Jun →
dust2	13–11	-0.01	21%	30 Jun →
anubis	13–8	-0.02	7%	30 Jun →
dust2	13–7	0.00	18%	29 Jun →
ancient	10–13	-0.03	8%	28 Jun →
dust2	2–13	-0.04	19%	28 Jun →
inferno	6–13	0.01	8%	28 Jun →
dust2	13–11	-0.05	6%	28 Jun →
dust2	11–13	-0.04	8%	27 Jun →
inferno	1–13	-0.05	2%	27 Jun →
anubis	7–13	-0.04	11%	25 Jun →
inferno	13–5	-0.03	8%	25 Jun →
overpass	13–9	-0.00	14%	24 Jun →