JibbitJayson — CS2 Stats

76561198288351397[U:1:328085669]Steam profile ↗✓ No bans

2,216Tracked matches50%Win rate2020Tracked since

CSDB Rating7.7 StrongPositional Player

Premier CS Rating28,403Top 5% of 206,528 CSDB-tracked playersRed band · top ~1.4% of ranked players (population est.)

CSDB Leaderboard#2010 of 253853 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 28,403 +3,404 2 Jul – 10 Oct · 37 days played

29,456Peak Premier in tracked matches

49Days played since 2026-07-02

Premier CS Rating

865 below peak (29,268)
-865 over 30 days · declining
+2,897 over 90 days
Next: Gold band at 30,000 — 1,597 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-22
Pink band first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim90

Positioning72

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLLWWWLLWWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −7.7pp headshot accuracy · +97ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 23%
Avg reaction 513ms

Last 10

5–5 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 24%
Avg reaction 529ms

Last 20

11–9 · 55% win rate
Avg rating 0.00
Avg headshot accuracy 28%
Avg reaction 481ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim9.0

Utility6.9

Positioning7.2

Opening Duels5.3

Clutch5.8

Sharp aimerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like iM 91% playstyle similarity

Most alike: aim profile, positioning 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

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

Aim9.0

Positioning7.2

Utility6.9

Mechanics7.1

Opening Duels5.5

Win Impact5.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time503ms−25ms

first ⅓ avg 528ms → last ⅓ avg 503ms

Headshot accuracy28.2%+2.4%

first ⅓ avg 25.8% → last ⅓ avg 28.2%

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.

Personal bests

0.13Best match rating · 13–3 · dust2, 6 Jul →

60%Best headshot accuracy · 7–13 · office, 4 Sept →

328msFastest reaction time · 9–13 · office, 4 Sept →

13–1Biggest win · cache, 11 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

L2Current streak

10–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 59% over 41cacheWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	41	24–17	59%	0.01
cache	C	18	7–11	39%	0.01
inferno	A	17	10–7	59%	0.00
nuke	B	13	6–7	46%	0.00
office	—	4	1–3	25%	-0.05
shelter	—	1	1–0	100%	-0.04
fachwerk	—	1	1–0	100%	0.01
italy	—	1	0–1	0%	-0.12
anubis	—	1	1–0	100%	0.01
mirage	—	1	0–1	0%	0.01
train	—	1	1–0	100%	0.08
overpass	—	1	1–0	100%	0.12

Across the last 100 tracked matches.

Faceit stats

Combat

1,006Matches

53%Win rate

1.06Avg K/D

83.9ADR

43%Headshot %

Clutches & streaks

49%1v1 clutch win

22%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	47	81%	1.24	17.6
Inferno	23	70%	1.11	16.0
Nuke	16	62%	1.25	19.6
Ancient	13	54%	1.14	15.8
Cache	11	91%	1.51	16.8
Vertigo	9	33%	1.05	14.8
Mirage	8	38%	0.98	16.0
Overpass	4	50%	1.05	17.5

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.

27.4%Headshot accuracy

37.1%Accuracy (enemy spotted)

36.5%Spray accuracy

81.9%Counter-strafing

9.4°Preaim

485msReaction time

45.5%T opening success

58.6%CT opening success

0.76Enemies flashed / flash

14.4%Flash assists

17.35HE damage / grenade

6.68Flashes / match

Recommended for you

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–16	-0.04	18%	10 Oct →
cache	10–13	-0.01	17%	10 Oct →
nuke	13–5	0.04	18%	1 Oct →
shelter	13–10	-0.04	32%	30 Sept →
fachwerk	13–3	0.01	29%	30 Sept →
dust2	5–13	0.02	30%	23 Sept →
dust2	9–13	-0.00	33%	14 Sept →
dust2	13–4	0.03	24%	13 Sept →
cache	13–1	0.09	19%	11 Sept →
cache	3–13	-0.04	23%	6 Sept →
dust2	5–2	0.11	34%	6 Sept →
dust2	13–5	0.05	13%	6 Sept →
office	13–1	-0.05	43%	5 Sept →
office	2–13	-0.04	21%	5 Sept →
inferno	13–11	-0.01	17%	5 Sept →
inferno	13–11	0.02	33%	5 Sept →
inferno	5–13	-0.02	22%	5 Sept →
dust2	13–9	0.04	17%	5 Sept →
office	9–13	-0.07	58%	4 Sept →
office	7–13	-0.02	60%	4 Sept →
dust2	13–11	0.04	18%	4 Sept →
nuke	11–13	-0.06	14%	4 Sept →
inferno	13–7	-0.02	16%	4 Sept →
dust2	13–7	0.04	22%	4 Sept →
italy	2–13	-0.12	36%	3 Sept →
inferno	3–13	-0.05	39%	3 Sept →
inferno	11–13	-0.05	19%	2 Sept →
dust2	3–13	-0.04	40%	2 Sept →
cache	13–9	0.11	40%	2 Sept →
dust2	5–13	-0.02	33%	2 Sept →
dust2	13–10	-0.01	27%	31 Aug →
cache	13–16	-0.01	36%	30 Aug →
inferno	13–7	0.05	29%	30 Aug →
inferno	2–13	-0.03	39%	30 Aug →
inferno	6–13	-0.02	11%	30 Aug →
dust2	13–11	-0.02	23%	30 Aug →
dust2	11–13	-0.04	14%	30 Aug →
dust2	13–8	-0.03	21%	27 Aug →
nuke	5–13	0.02	42%	26 Aug →
inferno	13–5	0.03	28%	26 Aug →
dust2	4–13	0.07	22%	23 Aug →
nuke	13–9	0.03	15%	23 Aug →
dust2	13–6	0.09	17%	21 Aug →
dust2	6–13	-0.04	27%	21 Aug →
dust2	4–13	0.03	39%	20 Aug →
dust2	13–5	0.04	27%	19 Aug →
dust2	13–10	0.06	26%	17 Aug →
cache	10–13	0.01	18%	16 Aug →
anubis	13–10	0.01	26%	16 Aug →
dust2	3–13	-0.02	11%	14 Aug →
mirage	15–15	0.01	32%	14 Aug →
nuke	6–13	-0.05	20%	13 Aug →
dust2	13–7	0.09	26%	13 Aug →
nuke	8–13	0.06	30%	13 Aug →
train	13–9	0.08	30%	12 Aug →
cache	10–13	-0.04	27%	11 Aug →
cache	13–8	-0.02	31%	11 Aug →
inferno	11–13	0.02	23%	10 Aug →
dust2	16–14	0.01	25%	9 Aug →
nuke	6–13	0.00	28%	9 Aug →
dust2	13–10	-0.01	32%	9 Aug →
cache	13–11	0.00	39%	6 Aug →
dust2	13–10	-0.01	12%	5 Aug →
inferno	13–8	0.03	23%	5 Aug →
cache	6–13	-0.04	38%	2 Aug →
dust2	13–11	0.06	21%	2 Aug →
dust2	6–13	0.00	44%	30 Jul →
dust2	10–13	-0.03	19%	28 Jul →
cache	11–13	0.02	33%	28 Jul →
inferno	13–6	0.02	27%	26 Jul →
inferno	13–4	0.04	18%	26 Jul →
nuke	7–13	-0.03	34%	25 Jul →
dust2	13–3	0.05	32%	24 Jul →
dust2	2–0	0.00	0%	24 Jul →
inferno	5–13	-0.03	16%	24 Jul →
cache	11–13	-0.00	27%	22 Jul →
dust2	8–13	-0.02	18%	21 Jul →
dust2	13–10	0.00	13%	21 Jul →
nuke	13–7	0.05	50%	19 Jul →
dust2	11–13	-0.03	25%	19 Jul →
cache	14–16	0.03	28%	19 Jul →
dust2	4–13	-0.01	36%	17 Jul →
dust2	13–9	0.01	44%	17 Jul →
dust2	9–13	-0.04	17%	16 Jul →
nuke	6–13	-0.06	36%	16 Jul →
cache	15–15	0.02	28%	15 Jul →
inferno	13–5	0.03	37%	15 Jul →
nuke	13–10	0.07	34%	14 Jul →
dust2	5–13	-0.03	24%	14 Jul →
cache	13–11	0.01	31%	13 Jul →
dust2	13–7	0.01	23%	13 Jul →
cache	6–13	0.01	24%	12 Jul →
inferno	13–9	-0.00	20%	12 Jul →
nuke	13–7	-0.01	41%	12 Jul →
cache	13–11	0.04	20%	12 Jul →
cache	13–7	0.04	13%	9 Jul →
dust2	13–3	0.13	17%	6 Jul →
overpass	13–4	0.12	25%	5 Jul →
nuke	13–2	0.00	14%	2 Jul →
dust2	13–3	0.04	28%	2 Jul →