jman — CS2 Stats

US76561197961374508[U:1:1108780]Steam profile ↗✓ No bans

2,855Tracked matches50%Win rate2020Tracked since

3,518Hours in CS32Hrs last 2 wks

CSDB Rating6.0 SolidPassive Rifler

Premier CS Rating21,376Pink band · top ~7% of ranked players (population est.)

CSDB Leaderboard#6310 of 17361 tracked

FaceitLevel 8 · 1,576 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

21,888Peak Premier on CSDB

1,576Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,576
Next: Level 9 at 1,751 — 175 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-28
Level 7 first seen 2026-08-28

Premier CS Rating

512 below peak (21,888)
Next: Red band at 25,000 — 3,624 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim81

Positioning44

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWLLLWWWLWW

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

Player DNA

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

Aim8.1

Aggression3.5

Utility5.9

Positioning4.4

Opening Duels1.1

Clutch3.8

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 NiKo 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 43% on CT to 25% 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

Aim8.1

Positioning4.4

Utility5.9

Mechanics6.6

Opening Duels1.7

Win Impact5.0

Composite 6.0/10 (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-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time517ms−81ms

first ⅓ avg 598ms → last ⅓ avg 517ms

Headshot accuracy18.1%−1.6%

first ⅓ avg 19.8% → last ⅓ avg 18.1%

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

0.10Best rating — dust2 13–6

13–2Biggest win — dust2

8Longest win streak

9–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 80% over 10ancientWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	11–11	50%	0.00
cache	A	20	11–9	55%	-0.00
anubis	B	19	10–9	53%	0.00
ancient	C	13	5–8	38%	-0.02
mirage	S	10	8–2	80%	-0.01
nuke	C	8	3–5	38%	-0.01
inferno	A	7	4–3	57%	-0.01
vertigo	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,772Lifetime kills

1.01K/D

4,905Matches

47.6%Match win rate · Top 50% of Pink band

54.2%Headshot % · Top 25% of Pink band

7.3%Shot accuracy

10,289MVPs

6,065Hours (in match)

7,293Bombs planted

1,917Bombs defused

Most-used weapons

AK-4747,384

M4A4 / M4A1-S21,955

AWP8,792

P2000 / USP-S7,905

Glock-186,132

P904,722

XM10143,422

MP93,088

MAC-102,649

P2502,177

Lifetime map wins

15,675dust2

9,855inferno

2,984nuke

1,589vertigo

1,486train

154cbble

85dust

59aztec

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

Faceit stats

Combat

743Matches

51%Win rate

1.00Avg K/D

73.9ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	183	54%	1.06	15.1
Ancient	129	51%	0.94	14.3
Mirage	124	44%	0.97	13.9
Anubis	114	54%	1.03	15.1
Inferno	91	48%	1.04	13.9
Nuke	30	43%	0.95	15.0
Train	26	69%	0.98	14.4
Cache	25	40%	0.87	13.0

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.

17.9%Headshot accuracy

37.6%Accuracy (enemy spotted)

41.7%Spray accuracy

79.6%Counter-strafing

9.8°Preaim

523msReaction time

25.2%T opening success

43.4%CT opening success

0.59Enemies flashed / flash

3.9%Flash assists

10.66HE damage / grenade

8.61Flashes / 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 25.2422% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–4	0.00	9%	28 Aug →
cache	5–13	-0.08	15%	28 Aug →
dust2	9–13	0.01	11%	28 Aug →
dust2	7–13	-0.03	20%	28 Aug →
dust2	13–11	0.04	22%	28 Aug →
mirage	13–9	-0.01	19%	27 Aug →
inferno	13–9	-0.02	25%	27 Aug →
inferno	17–19	-0.07	10%	27 Aug →
dust2	13–6	0.10	26%	26 Aug →
dust2	13–10	0.03	22%	26 Aug →
inferno	13–5	0.02	14%	26 Aug →
dust2	13–10	-0.02	11%	25 Aug →
anubis	7–13	0.07	17%	25 Aug →
dust2	13–2	0.04	21%	24 Aug →
nuke	13–9	0.03	10%	24 Aug →
mirage	10–13	-0.04	22%	24 Aug →
inferno	13–10	0.04	17%	22 Aug →
anubis	13–6	-0.04	27%	22 Aug →
dust2	4–13	-0.04	14%	21 Aug →
nuke	12–16	-0.02	17%	21 Aug →
anubis	8–13	-0.06	12%	21 Aug →
dust2	11–13	-0.02	16%	21 Aug →
ancient	3–13	-0.03	9%	21 Aug →
nuke	16–14	0.02	21%	19 Aug →
dust2	13–6	-0.02	21%	18 Aug →
nuke	13–10	-0.05	23%	18 Aug →
anubis	11–13	-0.03	22%	17 Aug →
anubis	11–13	0.09	22%	17 Aug →
cache	9–13	0.03	13%	16 Aug →
dust2	6–13	-0.03	33%	16 Aug →
anubis	13–7	0.02	14%	16 Aug →
vertigo	14–16	-0.04	16%	15 Aug →
nuke	14–16	0.00	28%	14 Aug →
anubis	13–8	-0.01	15%	13 Aug →
dust2	13–10	-0.01	20%	13 Aug →
inferno	10–13	0.02	33%	12 Aug →
ancient	8–13	-0.01	19%	12 Aug →
dust2	10–13	0.02	23%	12 Aug →
ancient	10–13	0.03	21%	12 Aug →
ancient	5–13	-0.01	19%	12 Aug →
anubis	9–13	-0.05	9%	11 Aug →
ancient	13–6	0.01	14%	11 Aug →
anubis	10–13	0.01	20%	10 Aug →
anubis	13–6	0.01	23%	9 Aug →
cache	3–13	-0.04	24%	9 Aug →
mirage	13–10	0.04	11%	9 Aug →
cache	13–3	0.03	16%	7 Aug →
cache	13–10	0.00	16%	7 Aug →
dust2	13–3	0.01	13%	7 Aug →
cache	16–14	-0.03	21%	6 Aug →
mirage	13–11	-0.02	23%	5 Aug →
ancient	13–11	-0.04	30%	5 Aug →
mirage	13–9	0.03	27%	4 Aug →
cache	13–16	-0.05	20%	4 Aug →
cache	14–16	-0.04	19%	3 Aug →
cache	13–9	-0.01	23%	3 Aug →
nuke	13–16	-0.01	25%	2 Aug →
cache	13–8	-0.00	24%	2 Aug →
cache	9–13	-0.02	16%	1 Aug →
mirage	4–13	-0.08	8%	1 Aug →
dust2	4–13	-0.02	14%	1 Aug →
dust2	7–13	-0.03	24%	1 Aug →
cache	13–4	0.07	14%	1 Aug →
anubis	13–5	-0.00	10%	1 Aug →
dust2	13–11	-0.06	18%	30 Jul →
anubis	13–6	0.01	36%	30 Jul →
nuke	13–16	-0.04	19%	30 Jul →
inferno	13–9	-0.01	20%	30 Jul →
anubis	13–11	0.03	23%	28 Jul →
anubis	13–10	-0.01	19%	27 Jul →
dust2	7–13	-0.06	21%	26 Jul →
nuke	11–13	-0.04	16%	25 Jul →
cache	15–15	-0.02	35%	24 Jul →
cache	10–13	0.06	15%	23 Jul →
anubis	9–13	-0.02	23%	20 Jul →
mirage	13–11	-0.01	15%	20 Jul →
ancient	13–9	-0.04	20%	20 Jul →
ancient	1–6	-0.02	17%	20 Jul →
anubis	8–13	0.01	30%	19 Jul →
ancient	2–6	-0.09	0%	19 Jul →
anubis	13–5	0.04	18%	18 Jul →
cache	13–7	-0.00	5%	18 Jul →
anubis	2–13	-0.03	13%	18 Jul →
cache	13–9	-0.05	10%	18 Jul →
dust2	7–13	-0.04	15%	18 Jul →
dust2	13–11	-0.00	30%	17 Jul →
mirage	13–10	-0.01	18%	17 Jul →
ancient	13–8	0.01	17%	17 Jul →
cache	6–13	0.01	18%	11 Jul →
inferno	4–13	-0.05	9%	11 Jul →
dust2	13–2	0.08	24%	11 Jul →
ancient	13–7	0.06	22%	10 Jul →
cache	13–7	-0.02	12%	10 Jul →
cache	13–3	0.06	22%	10 Jul →
dust2	9–13	0.05	24%	10 Jul →
cache	13–4	0.07	32%	10 Jul →
ancient	7–13	-0.05	23%	10 Jul →
mirage	13–3	-0.03	40%	10 Jul →
ancient	2–13	-0.10	13%	10 Jul →
anubis	13–5	0.01	34%	9 Jul →