Jam0r — CS2 Stats

GB76561197960286701[U:1:20973]Steam profile ↗✓ No bans

2,363Tracked matches38%Win rate2020Tracked since

2,138Hours in CS3Hrs last 2 wks

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating24,687Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)

CSDB Leaderboard#5049 of 33808 tracked

FaceitLevel 9 · 2,058 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 9 median	Level 10 median	vs Level 10
Headshot rate	54.2%	49.0%	52.0%	above
Shot accuracy	3.3%	13.1%	13.7%	10.3% short
Kill/death ratio	1.31	1.08	1.08	above
Match win rate	51.5%	46.9%	48.8%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim74

Positioning60

Utility37

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLLWLLLWLWL

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

Player DNA

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

Aim7.4

Aggression8.4

Utility3.7

Positioning6.0

Opening Duels5.1

Clutch3.4

Strong CT-side openerLimited utility dependence

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 ropz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 61% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.4

Positioning6.0

Utility3.7

Mechanics6.7

Opening Duels5.1

Win Impact1.0

Composite 5.7/10 (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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time552ms−3ms

first ⅓ avg 555ms → last ⅓ avg 552ms

Headshot accuracy17.3%−3.8%

first ⅓ avg 21.1% → last ⅓ avg 17.3%

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

0.16Best rating — nuke 13–1

13–1Biggest win — nuke

8Longest win streak

L2Current streak

8–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 56% over 16cacheWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	30	14–16	47%	0.01
ancient	C	25	10–15	40%	-0.01
nuke	B	20	10–10	50%	0.01
anubis	A	16	9–7	56%	0.02
cache	D	7	2–5	29%	-0.00
dust2	—	1	1–0	100%	0.04
mirage	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Lifetime stats

61,383Lifetime kills

1.31K/D · Top 25% of Level 9 players

2,682Matches

51.5%Match win rate · Top 25% of Level 9 players

54.2%Headshot % · Top 50% of Level 9 players

3.3%Shot accuracy

8,049MVPs

1,111Hours (in match)

2,684Bombs planted

736Bombs defused

Most-used weapons

AK-4724,435

M4A4 / M4A1-S14,947

AWP3,671

Desert Eagle3,488

P2000 / USP-S3,170

Glock-182,264

MP91,839

Galil AR1,649

MAC-101,136

FAMAS871

Lifetime map wins

5,375inferno

5,337nuke

1,854vertigo

1,645dust2

1,272train

55cbble

40office

33assault

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

Faceit stats

Combat

787Matches

51%Win rate

1.17Avg K/D

95.5ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	197	45%	1.17	19.3
Anubis	152	53%	1.23	19.4
Nuke	149	62%	1.27	19.7
Inferno	142	49%	1.10	18.6
Vertigo	46	54%	1.10	17.8
Train	30	50%	1.26	21.3
Mirage	22	50%	1.03	17.2
Dust2	13	23%	0.94	16.1

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.

17.5%Headshot accuracy

36.7%Accuracy (enemy spotted)

35.9%Spray accuracy

80.0%Counter-strafing

10.0°Preaim

548msReaction time

39.6%T opening success

61.4%CT opening success

0.41Enemies flashed / flash

5.3%Flash assists

7.07HE damage / grenade

2.43Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4054 — below the 0.5 mark we flag
Grenade Lineups →
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 39.6312% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	0.00	22%	24 Aug →
anubis	9–13	0.07	15%	20 Aug →
inferno	13–3	0.10	23%	11 Aug →
ancient	6–13	-0.08	2%	11 Aug →
ancient	5–13	-0.00	17%	11 Aug →
inferno	10–13	-0.01	12%	7 Aug →
anubis	13–8	-0.02	20%	7 Aug →
nuke	16–19	0.00	19%	7 Aug →
nuke	13–10	-0.03	12%	6 Aug →
anubis	9–13	-0.02	15%	6 Aug →
ancient	7–13	-0.05	5%	5 Aug →
inferno	13–4	0.06	23%	5 Aug →
inferno	13–10	0.04	12%	4 Aug →
nuke	10–13	-0.05	20%	4 Aug →
inferno	13–11	-0.01	12%	31 Jul →
ancient	7–13	-0.10	25%	31 Jul →
inferno	8–1	0.02	22%	29 Jul →
inferno	5–13	0.01	25%	29 Jul →
cache	15–15	0.01	21%	29 Jul →
inferno	10–13	-0.01	16%	27 Jul →
anubis	5–13	-0.02	17%	27 Jul →
dust2	13–9	0.04	16%	27 Jul →
ancient	13–11	-0.01	23%	27 Jul →
ancient	13–7	0.03	18%	25 Jul →
ancient	12–16	0.00	18%	25 Jul →
ancient	5–13	0.03	16%	25 Jul →
anubis	13–8	0.04	17%	25 Jul →
ancient	14–16	0.03	19%	24 Jul →
inferno	2–13	-0.07	24%	24 Jul →
inferno	9–13	-0.06	21%	24 Jul →
cache	8–13	-0.00	17%	23 Jul →
nuke	12–16	-0.07	15%	23 Jul →
cache	7–13	-0.06	10%	23 Jul →
nuke	13–6	0.03	8%	22 Jul →
nuke	4–13	0.01	17%	22 Jul →
inferno	11–13	0.02	15%	20 Jul →
inferno	19–17	0.03	24%	20 Jul →
inferno	13–3	0.06	19%	20 Jul →
nuke	10–13	-0.04	16%	19 Jul →
anubis	13–11	0.05	16%	19 Jul →
ancient	4–13	-0.05	23%	19 Jul →
anubis	13–11	0.01	11%	18 Jul →
inferno	12–16	-0.01	30%	18 Jul →
ancient	13–7	-0.00	14%	18 Jul →
nuke	13–10	0.06	25%	18 Jul →
inferno	13–10	-0.01	27%	17 Jul →
ancient	13–7	-0.03	18%	17 Jul →
inferno	10–13	-0.01	23%	16 Jul →
nuke	9–13	-0.01	23%	16 Jul →
inferno	1–13	-0.01	17%	16 Jul →
nuke	13–2	0.10	15%	16 Jul →
ancient	8–13	-0.05	10%	14 Jul →
nuke	9–13	-0.03	15%	14 Jul →
inferno	11–13	0.03	21%	14 Jul →
ancient	5–13	-0.05	15%	14 Jul →
mirage	13–7	-0.01	16%	12 Jul →
cache	13–9	0.00	22%	12 Jul →
nuke	16–13	0.05	17%	10 Jul →
ancient	10–13	-0.05	17%	10 Jul →
nuke	13–6	0.12	18%	10 Jul →
anubis	9–13	-0.02	20%	10 Jul →
ancient	13–9	0.03	18%	10 Jul →
ancient	11–13	0.02	15%	8 Jul →
nuke	13–9	0.02	27%	8 Jul →
ancient	7–13	0.02	25%	8 Jul →
nuke	9–13	0.01	20%	4 Jul →
anubis	13–9	0.04	17%	4 Jul →
nuke	13–6	0.02	11%	4 Jul →
ancient	13–10	0.01	14%	4 Jul →
inferno	13–7	-0.04	35%	3 Jul →
ancient	13–6	0.08	21%	3 Jul →
nuke	13–7	-0.05	27%	3 Jul →
anubis	13–2	0.07	20%	2 Jul →
inferno	13–11	0.01	12%	2 Jul →
inferno	4–13	-0.09	13%	2 Jul →
inferno	15–15	0.01	25%	1 Jul →
ancient	16–13	-0.02	20%	20 Jun →
inferno	13–3	0.11	40%	20 Jun →
anubis	13–9	-0.01	22%	20 Jun →
ancient	19–17	0.02	18%	19 Jun →
ancient	11–13	-0.03	18%	19 Jun →
anubis	8–13	-0.01	19%	19 Jun →
ancient	13–8	0.05	17%	13 Jun →
inferno	2–13	-0.03	23%	13 Jun →
anubis	5–13	0.05	11%	13 Jun →
cache	8–13	0.01	29%	13 Jun →
nuke	11–13	-0.08	12%	6 Jun →
anubis	13–7	-0.02	29%	5 Jun →
inferno	1–13	-0.09	45%	5 Jun →
cache	13–5	0.03	23%	5 Jun →
inferno	9–13	-0.03	13%	4 Jun →
inferno	13–5	0.03	15%	2 Jun →
anubis	13–11	0.12	32%	2 Jun →
cache	8–13	0.01	26%	2 Jun →
inferno	16–12	-0.01	11%	1 Jun →
nuke	11–13	0.01	25%	1 Jun →
ancient	12–16	0.05	13%	31 May →
inferno	13–6	0.10	18%	31 May →
anubis	11–13	-0.02	18%	29 May →
nuke	13–1	0.16	21%	29 May →