jam34 — CS2 Stats

US76561198124772865[U:1:164507137]Steam profile ↗

550Tracked matches47%Win rate2022Tracked since

5,037Hours in CS

CSDB Rating5.5 SolidClutch Specialist

Premier CS Rating17,732Purple band · top ~17.5% of ranked players (population est.)

CSDB Leaderboard#9221 of 16607 tracked

FaceitLevel 5 · 1,000 ELOTop 67.6% of ranked FACEIT players

WingmanSilver 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

Aim68

Positioning49

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLLWLWWLLLW

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.8

Aggression4.5

Utility6.3

Positioning4.9

Opening Duels1.7

Clutch10.0

Reliable in 1v1s

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 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 →

CSDB Rating breakdown

Aim6.8

Positioning4.9

Utility6.3

Mechanics6.4

Opening Duels1.7

Win Impact3.9

Composite 5.5/10 (Solid), 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 rating0.03−0.01

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time551ms−53ms

first ⅓ avg 604ms → last ⅓ avg 551ms

Headshot accuracy15.7%−2.6%

first ⅓ avg 18.3% → last ⅓ avg 15.7%

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

0.21Best rating — inferno 8–8

13–0Biggest win — nuke

5Longest win streak

L2Current streak

3–4In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 75% over 12infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	9–11	45%	0.04
cache	A	15	9–6	60%	0.03
inferno	D	15	5–10	33%	0.05
ancient	S	12	9–3	75%	0.05
nuke	S	11	8–3	73%	0.05
mirage	C	8	3–5	38%	-0.01
train	S	7	5–2	71%	0.06
office	—	4	0–4	0%	-0.02
anubis	—	4	2–2	50%	0.08
vertigo	—	3	0–3	0%	0.04
poseidon	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,785Lifetime kills

1.12K/D · Top 50% of tracked players

1,397Matches

42.3%Match win rate

61.2%Headshot % · Top 10% of tracked players

7.4%Shot accuracy

2,644MVPs

5,037Hours (in match)

682Bombs planted

709Bombs defused

Most-used weapons

AK-4739,106

M4A4 / M4A1-S14,574

P2000 / USP-S7,951

AWP6,029

Desert Eagle5,120

Galil AR2,361

SSG 081,157

FAMAS928

Glock-18715

P250684

Lifetime map wins

2,331dust2

1,261inferno

853nuke

491train

194vertigo

117office

22cbble

3ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

21Matches

48%Win rate

0.87Avg K/D

59.1ADR

49%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	33%	0.45	8.0
Inferno	2	50%	0.98	11.5
Dust2	1	0%	0.94	15.0

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.

16.0%Headshot accuracy

35.2%Accuracy (enemy spotted)

34.1%Spray accuracy

78.9%Counter-strafing

9.8°Preaim

549msReaction time

35.3%T opening success

38.2%CT opening success

0.62Enemies flashed / flash

6.5%Flash assists

9.28HE damage / grenade

11.79Flashes / 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
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 35.3195% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	10–13	-0.07	22%	28 Aug →
dust2	9–13	0.01	19%	28 Aug →
cache	13–7	0.01	14%	28 Aug →
mirage	3–13	-0.12	10%	27 Aug →
cache	13–8	0.08	24%	27 Aug →
cache	13–8	0.07	24%	27 Aug →
office	9–13	-0.03	8%	22 Aug →
inferno	7–13	0.01	11%	22 Aug →
dust2	8–13	0.04	10%	22 Aug →
train	8–2	0.08	14%	22 Aug →
cache	13–4	0.01	7%	22 Aug →
mirage	8–13	0.03	18%	22 Aug →
inferno	6–13	0.02	18%	22 Aug →
ancient	13–10	0.02	8%	22 Aug →
dust2	8–13	0.09	15%	22 Aug →
inferno	13–5	0.02	17%	22 Aug →
train	13–1	0.02	12%	18 Aug →
cache	11–13	0.05	17%	16 Aug →
train	6–13	0.11	24%	16 Aug →
inferno	0–7	-0.18	8%	16 Aug →
vertigo	4–9	0.06	17%	16 Aug →
poseidon	4–9	0.01	24%	16 Aug →
inferno	2–6	-0.00	7%	15 Aug →
nuke	10–13	0.02	14%	15 Aug →
dust2	13–9	0.02	32%	15 Aug →
cache	13–8	0.10	14%	15 Aug →
anubis	13–8	0.16	18%	15 Aug →
nuke	13–10	0.02	5%	15 Aug →
inferno	13–11	0.11	22%	15 Aug →
ancient	7–13	0.14	12%	15 Aug →
train	13–8	0.10	17%	15 Aug →
dust2	7–13	0.06	18%	15 Aug →
dust2	1–13	0.03	19%	15 Aug →
inferno	12–12	0.05	9%	15 Aug →
mirage	16–13	0.01	13%	12 Aug →
dust2	7–1	-0.01	33%	12 Aug →
dust2	13–6	0.05	15%	12 Aug →
ancient	13–7	0.07	14%	12 Aug →
inferno	13–6	0.12	19%	12 Aug →
anubis	5–13	0.04	9%	12 Aug →
inferno	13–3	0.13	25%	12 Aug →
mirage	9–13	-0.05	24%	12 Aug →
train	13–7	0.02	19%	12 Aug →
nuke	13–10	0.06	13%	12 Aug →
cache	6–13	0.01	19%	12 Aug →
office	3–13	-0.04	0%	12 Aug →
ancient	13–8	0.12	21%	12 Aug →
vertigo	8–13	0.01	13%	12 Aug →
train	13–5	-0.00	18%	12 Aug →
cache	10–13	-0.01	19%	11 Aug →
ancient	13–9	0.01	19%	11 Aug →
nuke	13–9	0.13	14%	11 Aug →
ancient	13–3	0.14	23%	11 Aug →
ancient	10–13	-0.04	20%	11 Aug →
ancient	13–6	0.09	17%	11 Aug →
dust2	2–5	0.06	13%	11 Aug →
nuke	13–4	0.14	20%	11 Aug →
dust2	12–12	0.10	16%	11 Aug →
office	10–13	0.08	24%	11 Aug →
inferno	5–13	0.01	28%	11 Aug →
mirage	12–12	-0.00	20%	11 Aug →
train	8–13	0.06	17%	11 Aug →
cache	13–6	0.05	15%	11 Aug →
inferno	10–13	0.00	13%	10 Aug →
mirage	7–13	0.03	17%	10 Aug →
dust2	13–4	0.08	14%	10 Aug →
cache	13–8	0.01	22%	8 Aug →
dust2	13–9	0.08	21%	8 Aug →
dust2	7–13	0.04	10%	8 Aug →
dust2	13–10	0.02	21%	8 Aug →
inferno	9–3	0.09	9%	8 Aug →
anubis	3–13	-0.03	26%	6 Aug →
inferno	6–9	0.14	15%	6 Aug →
inferno	7–9	0.09	27%	6 Aug →
dust2	9–13	0.01	21%	6 Aug →
nuke	13–6	0.00	11%	6 Aug →
ancient	13–10	-0.03	14%	6 Aug →
nuke	11–13	0.07	18%	6 Aug →
cache	13–10	0.00	14%	6 Aug →
cache	13–10	0.03	20%	6 Aug →
ancient	8–13	0.10	20%	6 Aug →
nuke	13–10	0.04	14%	6 Aug →
dust2	13–6	0.09	22%	6 Aug →
dust2	13–6	0.01	26%	5 Aug →
ancient	4–2	0.04	20%	5 Aug →
inferno	8–8	0.21	18%	3 Aug →
cache	10–13	-0.01	16%	3 Aug →
nuke	7–13	-0.02	18%	3 Aug →
dust2	13–2	0.08	18%	3 Aug →
vertigo	12–12	0.04	15%	3 Aug →
nuke	13–0	0.10	17%	3 Aug →
dust2	2–13	0.02	14%	2 Aug →
cache	3–13	0.03	30%	2 Aug →
mirage	13–11	0.02	21%	2 Aug →
mirage	13–4	0.03	18%	2 Aug →
ancient	13–10	0.00	10%	2 Aug →
anubis	13–3	0.14	24%	2 Aug →
nuke	13–7	0.03	21%	2 Aug →
dust2	11–13	0.04	13%	2 Aug →
cache	7–13	0.03	21%	2 Aug →