James Kagelberg — CS2 Stats

FI76561199358195190[U:1:1397929462]Steam profile ↗✓ No bans

2,783Tracked matches48%Win rate2023Tracked since

CSDB Rating4.2 Developing

Premier CS Rating16,035Purple band · top ~24.3% of ranked players (population est.)

CSDB Leaderboard#32981 of 58676 tracked

FaceitLevel 6 · 1,485 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim36

Positioning49

Utility66

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateWLLLLLWWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim3.6

Aggression6.9

Utility6.6

Positioning4.9

Opening Duels3.1

Clutch3.6

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 b1t 83% 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 31% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6

Positioning4.9

Utility6.6

Mechanics2.9

Opening Duels3.1

Win Impact4.4

Composite 4.2/10 (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-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time543ms−90ms

first ⅓ avg 633ms → last ⅓ avg 543ms

Headshot accuracy14.0%−0.9%

first ⅓ avg 14.9% → last ⅓ avg 14.0%

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

0.13Best rating — inferno 8–8

13–2Biggest win — nuke

4Longest win streak

7–11In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 75% over 8dust2Weakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	21	8–13	38%	-0.02
inferno	A	18	10–8	56%	-0.00
ancient	A	16	9–7	56%	0.02
dust2	D	12	4–8	33%	-0.02
mirage	C	11	4–7	36%	-0.00
cache	A	9	5–4	56%	-0.01
anubis	S	8	6–2	75%	-0.00
debris	—	2	0–2	0%	-0.01
fachwerk	—	1	1–0	100%	0.12
eldorado	—	1	0–1	0%	-0.14
overpass	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

527Matches

50%Win rate

0.95Avg K/D

83.5ADR

40%Headshot %

Clutches & streaks

38%1v1 clutch win

27%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	133	41%	0.88	13.6
Inferno	95	53%	1.00	14.6
Nuke	77	58%	1.09	15.1
Ancient	65	55%	0.91	13.9
Dust2	62	55%	0.94	15.0
Anubis	33	36%	0.92	15.5
Overpass	20	60%	0.84	14.7
Vertigo	20	45%	1.00	15.7

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.

14.1%Headshot accuracy

27.6%Accuracy (enemy spotted)

29.9%Spray accuracy

63.0%Counter-strafing

10.6°Preaim

546msReaction time

30.9%T opening success

54.1%CT opening success

0.58Enemies flashed / flash

7.9%Flash assists

10.95HE damage / grenade

16.44Flashes / 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 14.0608% — 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 30.9303% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	-0.00	21%	30 Aug →
anubis	8–13	-0.01	8%	30 Aug →
nuke	3–13	-0.07	5%	30 Aug →
dust2	11–13	-0.00	13%	27 Aug →
ancient	4–13	0.09	16%	27 Aug →
ancient	11–13	0.04	11%	26 Aug →
anubis	13–6	-0.00	11%	25 Aug →
anubis	13–11	-0.00	17%	25 Aug →
mirage	6–13	-0.02	23%	25 Aug →
ancient	4–13	-0.09	23%	24 Aug →
cache	11–13	0.04	11%	24 Aug →
inferno	13–11	0.05	15%	24 Aug →
nuke	8–13	-0.07	6%	24 Aug →
nuke	15–15	-0.07	10%	23 Aug →
anubis	13–10	-0.01	24%	23 Aug →
mirage	9–13	-0.04	16%	23 Aug →
inferno	10–13	-0.05	18%	23 Aug →
ancient	13–3	0.06	10%	23 Aug →
inferno	8–8	0.13	21%	21 Aug →
nuke	13–16	-0.04	16%	20 Aug →
dust2	11–13	-0.01	12%	20 Aug →
nuke	13–2	-0.02	11%	18 Aug →
dust2	13–4	-0.07	13%	17 Aug →
anubis	13–5	0.05	17%	17 Aug →
nuke	11–13	0.00	23%	16 Aug →
ancient	13–10	0.01	14%	16 Aug →
inferno	13–5	0.05	17%	16 Aug →
ancient	13–2	0.04	10%	16 Aug →
ancient	13–11	-0.01	14%	16 Aug →
cache	10–13	-0.02	4%	16 Aug →
nuke	13–10	-0.02	11%	16 Aug →
nuke	11–13	-0.02	13%	13 Aug →
nuke	13–8	-0.02	8%	13 Aug →
anubis	13–2	-0.10	4%	12 Aug →
anubis	13–10	0.02	22%	10 Aug →
cache	13–9	0.00	6%	5 Aug →
ancient	2–13	0.02	10%	5 Aug →
ancient	14–16	0.01	21%	5 Aug →
cache	10–13	-0.01	13%	5 Aug →
inferno	13–8	0.10	10%	4 Aug →
dust2	11–13	-0.02	21%	4 Aug →
nuke	13–6	-0.00	8%	4 Aug →
mirage	15–15	-0.02	13%	4 Aug →
cache	13–5	-0.06	9%	4 Aug →
ancient	13–2	0.03	11%	4 Aug →
dust2	8–13	-0.03	12%	2 Aug →
mirage	13–7	0.00	20%	2 Aug →
fachwerk	13–11	0.12	10%	2 Aug →
nuke	2–9	-0.07	6%	2 Aug →
inferno	0–9	-0.26	0%	2 Aug →
anubis	10–13	0.06	12%	1 Aug →
inferno	5–13	0.00	17%	1 Aug →
inferno	13–8	-0.01	14%	30 Jul →
nuke	8–13	-0.01	18%	29 Jul →
inferno	6–13	0.02	17%	29 Jul →
mirage	13–8	0.07	12%	28 Jul →
inferno	13–10	0.03	11%	28 Jul →
cache	13–7	0.04	15%	28 Jul →
inferno	13–7	0.07	20%	28 Jul →
mirage	11–13	-0.01	16%	27 Jul →
nuke	4–9	-0.10	40%	27 Jul →
nuke	13–11	0.00	15%	26 Jul →
inferno	2–9	-0.18	20%	26 Jul →
dust2	6–13	-0.06	15%	24 Jul →
inferno	11–13	-0.06	7%	24 Jul →
mirage	13–6	0.07	18%	24 Jul →
inferno	16–13	0.05	13%	19 Jul →
nuke	10–13	0.11	13%	19 Jul →
debris	6–9	-0.07	19%	19 Jul →
eldorado	2–9	-0.14	50%	19 Jul →
ancient	8–13	-0.09	6%	16 Jul →
ancient	13–8	0.03	11%	16 Jul →
cache	13–11	-0.07	17%	16 Jul →
nuke	10–13	-0.02	9%	16 Jul →
ancient	13–2	0.05	13%	16 Jul →
dust2	8–13	-0.01	12%	16 Jul →
mirage	16–13	-0.01	9%	16 Jul →
ancient	13–6	0.07	15%	15 Jul →
nuke	13–9	0.02	20%	15 Jul →
mirage	7–13	-0.02	22%	15 Jul →
dust2	13–11	0.03	17%	15 Jul →
dust2	5–13	-0.06	13%	15 Jul →
ancient	4–13	-0.02	8%	15 Jul →
mirage	6–13	-0.01	10%	15 Jul →
nuke	13–7	0.04	16%	15 Jul →
ancient	13–3	0.06	13%	15 Jul →
inferno	16–12	-0.02	18%	14 Jul →
dust2	9–13	0.02	9%	14 Jul →
nuke	11–13	-0.02	13%	14 Jul →
inferno	13–6	0.06	17%	14 Jul →
debris	8–8	0.04	20%	14 Jul →
cache	13–7	-0.01	9%	13 Jul →
nuke	13–9	0.01	8%	12 Jul →
inferno	4–13	-0.02	20%	12 Jul →
dust2	13–8	-0.08	14%	12 Jul →
cache	9–13	0.03	9%	12 Jul →
nuke	4–9	-0.10	27%	12 Jul →
mirage	8–13	-0.03	9%	11 Jul →
dust2	13–9	0.01	21%	11 Jul →
overpass	9–1	0.11	5%	11 Jul →