Jam — CS2 Stats

76561198411710961[U:1:451445233]Steam profile ↗1 game ban

620Tracked matches67%Win rate2021Tracked since

CSDB Rating6.7 SolidHybrid Rifler

Premier CS Rating24,980Top 50% of 819 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#2594 of 15679 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim60

Positioning61

Utility81

0–100 skill scores via Leetify.

Recent form

HOT68–30–2Last 10068%Win rateWWWWWWWWLL

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

Player DNA

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

Aim6.0

Aggression10.0

Utility8.1

Positioning6.1

Opening Duels4.9

High utility contribution

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 device 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: higher utility contribution; 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

Strengths

Utility. Utility score of 81 — grenade impact well above the norm.

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

Aim6.0

Positioning6.1

Utility8.1

Mechanics5.5

Opening Duels4.9

Win Impact10.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time549ms−7ms

first ⅓ avg 556ms → last ⅓ avg 549ms

Headshot accuracy15.9%−0.4%

first ⅓ avg 16.2% → last ⅓ avg 15.9%

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

0.19Best rating — inferno 13–2

13–0Biggest win — dust2

8Longest win streak

W8Current streak

7–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 84% over 19anubisWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	64	39–25	61%	0.02
inferno	S	19	16–3	84%	0.04
anubis	B	6	3–3	50%	0.03
ancient	S	6	5–1	83%	0.01
mirage	—	3	3–0	100%	-0.01
cache	—	1	1–0	100%	0.08
office	—	1	1–0	100%	0.14

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.9%Headshot accuracy

32.6%Accuracy (enemy spotted)

34.1%Spray accuracy

74.8%Counter-strafing

10.1°Preaim

530msReaction time

49.4%T opening success

50.0%CT opening success

0.67Enemies flashed / flash

15.5%Flash assists

11.54HE damage / grenade

11.84Flashes / 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 13.8976% — below the 15% mark we flag
Aim Training →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	0.05	28%	28 Aug →
dust2	13–4	0.04	16%	28 Aug →
anubis	9–0	0.00	31%	28 Aug →
inferno	13–6	-0.01	8%	28 Aug →
dust2	13–5	0.13	22%	28 Aug →
dust2	13–7	-0.06	18%	28 Aug →
dust2	13–2	0.00	5%	28 Aug →
dust2	13–5	0.10	15%	18 Aug →
dust2	8–13	-0.01	23%	18 Aug →
dust2	4–13	-0.02	17%	18 Aug →
ancient	8–13	0.02	12%	18 Aug →
dust2	0–3	-0.12	100%	14 Aug →
dust2	13–7	0.00	12%	14 Aug →
dust2	6–13	-0.01	13%	14 Aug →
mirage	13–8	0.03	17%	14 Aug →
dust2	13–0	0.01	10%	14 Aug →
inferno	5–1	0.09	0%	14 Aug →
dust2	13–11	0.10	15%	14 Aug →
ancient	13–4	0.08	12%	14 Aug →
dust2	13–10	0.08	7%	14 Aug →
dust2	13–3	0.02	8%	11 Aug →
inferno	13–6	-0.02	11%	11 Aug →
inferno	0–2	-0.06	0%	9 Aug →
dust2	11–13	-0.04	13%	9 Aug →
dust2	7–13	-0.07	12%	9 Aug →
dust2	13–8	-0.07	9%	8 Aug →
inferno	13–2	0.05	9%	7 Aug →
dust2	9–13	-0.01	14%	7 Aug →
dust2	13–6	0.05	8%	7 Aug →
dust2	1–7	-0.01	12%	1 Aug →
dust2	9–13	-0.03	12%	1 Aug →
dust2	13–11	0.00	17%	1 Aug →
inferno	13–2	0.19	18%	29 Jul →
dust2	13–3	0.03	20%	25 Jul →
dust2	13–4	-0.05	10%	25 Jul →
dust2	13–5	0.00	11%	25 Jul →
inferno	9–0	0.09	18%	25 Jul →
inferno	13–6	0.05	15%	24 Jul →
dust2	7–13	-0.04	16%	24 Jul →
dust2	13–6	-0.06	22%	24 Jul →
anubis	3–13	0.03	11%	23 Jul →
dust2	11–13	-0.03	6%	23 Jul →
anubis	12–12	0.00	14%	23 Jul →
inferno	7–13	-0.00	18%	23 Jul →
dust2	13–7	0.08	16%	23 Jul →
inferno	13–10	0.04	17%	21 Jul →
dust2	13–11	0.02	12%	21 Jul →
cache	13–9	0.08	12%	21 Jul →
dust2	5–13	-0.02	4%	21 Jul →
dust2	13–7	0.08	20%	20 Jul →
dust2	13–9	0.02	14%	20 Jul →
dust2	13–4	0.08	14%	20 Jul →
inferno	2–13	0.05	23%	19 Jul →
ancient	13–10	-0.07	9%	19 Jul →
dust2	13–6	0.06	23%	19 Jul →
dust2	0–13	-0.04	0%	19 Jul →
inferno	13–10	-0.01	7%	19 Jul →
inferno	13–8	0.05	14%	19 Jul →
dust2	13–4	0.06	20%	19 Jul →
dust2	9–13	0.11	27%	17 Jul →
dust2	10–13	0.00	9%	17 Jul →
dust2	8–13	0.02	16%	17 Jul →
inferno	13–10	0.09	9%	17 Jul →
anubis	2–13	0.00	8%	17 Jul →
anubis	13–4	0.10	21%	16 Jul →
ancient	13–2	0.03	16%	16 Jul →
dust2	13–1	0.05	19%	16 Jul →
dust2	16–13	0.08	15%	15 Jul →
dust2	13–8	0.09	15%	15 Jul →
dust2	1–13	-0.02	15%	15 Jul →
dust2	0–3	-0.09	0%	14 Jul →
dust2	13–2	0.12	23%	14 Jul →
inferno	3–1	0.01	22%	14 Jul →
dust2	3–13	0.01	20%	14 Jul →
dust2	13–7	0.00	18%	14 Jul →
dust2	13–6	0.11	15%	13 Jul →
dust2	2–0	0.05	50%	13 Jul →
dust2	7–13	-0.02	16%	13 Jul →
inferno	2–0	0.10	33%	13 Jul →
ancient	13–7	-0.04	10%	13 Jul →
dust2	13–11	0.04	12%	13 Jul →
dust2	13–7	0.03	15%	12 Jul →
inferno	13–3	0.14	14%	12 Jul →
dust2	10–13	-0.04	11%	12 Jul →
inferno	13–6	-0.05	8%	12 Jul →
office	13–6	0.14	11%	12 Jul →
dust2	9–13	0.06	20%	12 Jul →
dust2	13–7	0.06	17%	12 Jul →
dust2	7–13	0.01	23%	12 Jul →
ancient	13–5	0.05	13%	12 Jul →
dust2	11–13	0.00	17%	2 Jul →
dust2	13–3	0.05	14%	2 Jul →
dust2	7–1	-0.04	10%	2 Jul →
mirage	13–5	-0.03	12%	2 Jul →
anubis	13–6	0.02	14%	1 Jul →
dust2	12–12	-0.00	18%	1 Jul →
inferno	13–4	0.07	12%	1 Jul →
dust2	13–7	0.11	18%	1 Jul →
mirage	13–4	-0.02	10%	1 Jul →
dust2	13–7	0.06	16%	28 Jun →