JebediahJorts — CS2 Stats

US76561198130428101[U:1:170162373]Steam profile ↗✓ No bans

937Tracked matches59%Win rate2020Tracked since

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating25,121Top 25% of 819 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning59

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateWWLLLTLWWW

Last 10 vs previous 10: -30pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression8.1

Utility6.0

Positioning5.9

Opening Duels4.1

Clutch6.6

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 b1t 93% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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

T-side openings. Opening success drops from 54% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim7.8

Positioning5.9

Utility6.0

Mechanics8.1

Opening Duels4.1

Win Impact7.9

Composite 7.2/10 (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 rating0.02−0.04

first ⅓ avg 0.06 → last ⅓ avg 0.02

Reaction time601ms−35ms

first ⅓ avg 636ms → last ⅓ avg 601ms

Headshot accuracy15.1%−1.4%

first ⅓ avg 16.5% → last ⅓ avg 15.1%

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 — overpass 7–13

13–0Biggest win — fachwerk

11Longest win streak

W2Current streak

6–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 83% over 12overpassWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	0.04
cache	A	16	9–7	56%	0.05
inferno	B	13	7–6	54%	0.03
ancient	S	12	10–2	83%	0.04
nuke	S	9	6–3	67%	0.08
dust2	C	8	3–5	38%	0.00
overpass	D	6	2–4	33%	0.05
anubis	—	3	3–0	100%	0.02
vertigo	—	3	3–0	100%	0.10
fachwerk	—	2	1–1	50%	-0.04
train	—	2	2–0	100%	0.09
shelter	—	1	1–0	100%	0.05
boulder	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

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

Faceit stats

Combat

747Matches

51%Win rate

1.21Avg K/D

70.1ADR

42%Headshot %

Clutches & streaks

53%1v1 clutch win

32%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	67%	1.09	14.0
Ancient	5	40%	1.32	15.6
Dust2	5	20%	0.65	9.4
Inferno	3	67%	1.05	16.0
Nuke	2	50%	1.03	18.5
Train	1	0%	0.95	18.0
Cache	1	100%	1.60	24.0
Anubis	1	0%	1.05	20.0

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.

14.4%Headshot accuracy

38.3%Accuracy (enemy spotted)

40.7%Spray accuracy

86.5%Counter-strafing

9.3°Preaim

596msReaction time

38.8%T opening success

53.9%CT opening success

0.55Enemies flashed / flash

8.6%Flash assists

9.91HE damage / grenade

10.86Flashes / 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.

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 14.4247% — below the 15% mark we flag
Aim Training →
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 38.7766% — below the 40% mark we flag

Spend your practice time on Overpass

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 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	0.02	13%	21 Aug →
shelter	13–3	0.05	14%	21 Aug →
cache	11–13	0.04	13%	20 Aug →
mirage	10–13	0.00	16%	20 Aug →
cache	6–13	0.08	18%	20 Aug →
mirage	12–12	0.09	10%	20 Aug →
cache	4–13	0.09	8%	20 Aug →
anubis	13–9	0.05	13%	19 Aug →
fachwerk	13–0	0.01	14%	19 Aug →
cache	13–3	0.04	21%	16 Aug →
nuke	13–4	0.04	23%	14 Aug →
cache	13–6	-0.05	12%	14 Aug →
mirage	13–7	0.10	15%	14 Aug →
inferno	9–1	-0.05	5%	14 Aug →
anubis	13–11	-0.01	8%	14 Aug →
cache	13–11	0.07	33%	13 Aug →
mirage	13–6	-0.06	16%	13 Aug →
ancient	13–7	0.06	8%	13 Aug →
mirage	11–13	0.00	8%	13 Aug →
dust2	0–13	-0.07	6%	13 Aug →
inferno	10–13	-0.04	16%	13 Aug →
anubis	13–5	0.01	25%	22 Jul →
mirage	9–13	-0.01	16%	22 Jul →
dust2	13–4	0.03	17%	22 Jul →
mirage	14–16	0.03	11%	21 Jul →
cache	16–13	0.09	16%	21 Jul →
fachwerk	8–13	-0.08	21%	14 Jul →
boulder	5–13	-0.04	19%	14 Jul →
mirage	13–7	0.11	12%	14 Jul →
dust2	7–13	-0.04	5%	14 Jul →
cache	13–6	-0.01	26%	14 Jul →
mirage	14–16	0.03	23%	13 Jul →
dust2	13–4	-0.02	22%	13 Jul →
ancient	5–13	-0.07	17%	11 Jul →
cache	7–13	0.02	23%	11 Jul →
cache	15–15	0.06	21%	11 Jul →
nuke	13–10	0.09	30%	10 Jul →
cache	13–3	0.15	12%	10 Jul →
mirage	9–13	0.05	17%	10 Jul →
cache	16–14	0.07	23%	10 Jul →
cache	13–6	0.05	21%	9 Jul →
ancient	13–11	0.02	5%	3 Jul →
inferno	11–13	0.03	15%	3 Jul →
mirage	13–9	0.06	14%	3 Jul →
mirage	13–5	0.05	15%	30 Jun →
inferno	13–7	0.01	15%	30 Jun →
ancient	13–6	0.03	8%	29 Jun →
ancient	13–4	0.05	28%	28 Jun →
inferno	13–16	0.00	9%	28 Jun →
ancient	13–4	0.05	24%	28 Jun →
ancient	13–5	0.00	18%	22 Jun →
vertigo	13–6	0.14	11%	20 Jun →
train	13–8	0.13	18%	20 Jun →
dust2	9–13	-0.01	27%	19 Jun →
ancient	13–11	0.05	15%	19 Jun →
mirage	13–10	0.07	22%	16 Jun →
nuke	13–5	0.11	23%	16 Jun →
inferno	7–13	0.06	30%	29 May →
mirage	13–5	0.04	20%	29 May →
dust2	13–9	-0.01	21%	29 May →
mirage	7–13	0.01	15%	29 May →
ancient	4–13	0.05	16%	29 May →
inferno	9–13	0.14	16%	29 May →
nuke	13–5	0.09	18%	29 May →
overpass	3–13	0.00	7%	29 May →
overpass	13–6	0.07	27%	27 May →
mirage	13–9	0.06	34%	27 May →
mirage	3–13	0.08	5%	24 May →
overpass	8–13	0.00	6%	24 May →
nuke	13–6	0.17	18%	20 May →
ancient	13–3	0.09	15%	20 May →
nuke	5–13	0.02	28%	18 May →
mirage	13–7	0.04	15%	18 May →
inferno	13–1	0.09	17%	9 May →
mirage	4–13	-0.04	15%	9 May →
overpass	13–11	0.08	13%	9 May →
ancient	13–8	0.04	15%	9 May →
mirage	13–7	0.06	7%	8 May →
vertigo	13–10	0.08	14%	29 Apr →
cache	8–13	0.08	13%	29 Apr →
cache	10–13	0.07	17%	29 Apr →
cache	13–10	0.02	19%	29 Apr →
inferno	13–6	0.05	12%	24 Apr →
mirage	5–13	0.07	18%	24 Apr →
inferno	13–9	-0.01	10%	24 Apr →
inferno	5–13	0.04	29%	22 Apr →
dust2	4–13	0.08	18%	22 Apr →
mirage	13–5	0.07	20%	22 Apr →
mirage	11–13	0.10	17%	22 Apr →
nuke	11–13	0.02	15%	20 Apr →
overpass	9–13	-0.01	23%	20 Apr →
mirage	9–13	0.03	13%	20 Apr →
nuke	13–2	0.13	17%	20 Apr →
dust2	8–13	0.04	23%	20 Apr →
nuke	3–13	0.03	20%	18 Mar →
train	13–2	0.05	19%	18 Mar →
inferno	13–4	0.03	21%	14 Mar →
vertigo	13–4	0.08	8%	4 Mar →
overpass	7–13	0.18	25%	4 Mar →
ancient	13–10	0.05	21%	4 Mar →