Steve pawJobs — CS2 Stats

US76561197997893486[U:1:37627758]Steam profile ↗

1,085Tracked matches52%Win rate2020Tracked since

2,629Hours in CS15Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating26,709Top 25% of 819 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)

CSDB Leaderboard#1099 of 16854 tracked

FaceitLevel 4 · 1,023 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning40

Utility59

0–100 skill scores via Leetify.

Recent form

COLD52–42–6Last 10052%Win rateLWLWLLLLLW

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

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

Aim6.7

Aggression4.7

Utility5.9

Positioning4.0

Opening Duels0.9

Clutch0.0

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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 49% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.7

Positioning4.0

Utility5.9

Mechanics6.3

Opening Duels2.4

Win Impact5.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time611ms−20ms

first ⅓ avg 631ms → last ⅓ avg 611ms

Headshot accuracy14.7%+0.6%

first ⅓ avg 14.2% → last ⅓ avg 14.7%

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

0.15Best rating — cache 13–3

13–2Biggest win — overpass

5Longest win streak

5–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 78% over 9anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	39	21–18	54%	-0.02
inferno	A	20	11–9	55%	-0.02
dust2	B	11	5–6	45%	-0.00
nuke	S	9	7–2	78%	-0.01
overpass	A	7	4–3	57%	0.01
anubis	D	5	1–4	20%	-0.04
mirage	C	5	2–3	40%	-0.03
ancient	—	4	1–3	25%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,324Lifetime kills

0.92K/D

3,133Matches

40.9%Match win rate

44.3%Headshot %

14.7%Shot accuracy · Top 50% of tracked players

6,001MVPs

1,607Hours (in match)

2,926Bombs planted

744Bombs defused

Most-used weapons

AK-4726,353

M4A4 / M4A1-S13,034

P2000 / USP-S5,139

AWP4,370

Desert Eagle2,692

Glock-182,427

FAMAS1,287

MP91,124

MAC-101,114

Galil AR1,034

Lifetime map wins

5,194inferno

4,281dust2

2,904train

1,226nuke

587cbble

343vertigo

41office

40lake

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

Faceit stats

Combat

423Matches

48%Win rate

0.82Avg K/D

66.4ADR

34%Headshot %

Clutches & streaks

10%1v1 clutch win

15%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	71%	0.94	12.7
Nuke	3	67%	0.66	11.0
Dust2	3	33%	0.66	12.7
Inferno	3	67%	0.57	10.0
Ancient	2	100%	1.16	16.5
Train	2	50%	0.98	18.0
Anubis	1	100%	1.08	13.0
Overpass	1	100%	0.93	14.0

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.

14.5%Headshot accuracy

36.3%Accuracy (enemy spotted)

42.8%Spray accuracy

78.3%Counter-strafing

10.5°Preaim

602msReaction time

18.4%T opening success

49.0%CT opening success

0.52Enemies flashed / flash

7.3%Flash assists

9.95HE damage / grenade

7.11Flashes / 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 14.4746% — 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 18.4133% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	0.00	16%	25 Aug →
cache	13–3	0.06	15%	25 Aug →
anubis	4–13	-0.09	9%	25 Aug →
overpass	13–5	0.00	18%	21 Aug →
dust2	10–13	-0.04	13%	21 Aug →
ancient	8–13	-0.09	9%	21 Aug →
cache	11–13	-0.01	8%	21 Aug →
inferno	10–13	-0.03	21%	20 Aug →
cache	7–13	-0.01	19%	20 Aug →
dust2	13–3	0.03	18%	19 Aug →
cache	13–8	-0.08	18%	19 Aug →
overpass	13–2	0.10	14%	19 Aug →
nuke	13–7	0.04	10%	19 Aug →
mirage	11–13	-0.01	17%	19 Aug →
inferno	13–2	0.09	16%	18 Aug →
cache	11–13	0.03	15%	18 Aug →
anubis	11–13	0.02	10%	18 Aug →
inferno	13–5	-0.07	19%	17 Aug →
cache	13–10	-0.04	14%	17 Aug →
cache	13–10	-0.05	28%	6 Aug →
cache	10–13	-0.01	20%	6 Aug →
inferno	9–13	-0.04	7%	6 Aug →
anubis	14–16	-0.05	10%	6 Aug →
cache	11–13	-0.03	11%	6 Aug →
nuke	13–8	-0.00	15%	6 Aug →
mirage	13–7	-0.03	14%	3 Aug →
inferno	16–14	-0.03	16%	3 Aug →
cache	12–12	-0.03	11%	2 Aug →
ancient	13–11	-0.00	14%	2 Aug →
inferno	13–3	-0.00	12%	2 Aug →
nuke	13–8	-0.00	15%	2 Aug →
cache	10–13	-0.04	17%	2 Aug →
dust2	13–4	0.06	19%	2 Aug →
cache	2–13	-0.02	6%	31 Jul →
cache	13–9	-0.08	2%	31 Jul →
inferno	13–8	-0.00	22%	31 Jul →
dust2	15–15	-0.04	13%	30 Jul →
cache	3–13	-0.04	7%	30 Jul →
cache	13–4	-0.01	16%	29 Jul →
cache	13–11	-0.00	13%	29 Jul →
cache	13–7	-0.03	12%	27 Jul →
dust2	13–10	-0.02	12%	27 Jul →
inferno	13–3	-0.02	15%	27 Jul →
cache	7–13	-0.07	13%	27 Jul →
nuke	13–9	-0.05	18%	24 Jul →
ancient	10–13	-0.07	19%	24 Jul →
inferno	13–6	-0.05	10%	24 Jul →
cache	13–8	-0.03	8%	24 Jul →
cache	7–1	0.05	29%	24 Jul →
mirage	13–8	-0.03	9%	24 Jul →
inferno	13–6	-0.03	7%	24 Jul →
ancient	15–15	-0.07	18%	23 Jul →
nuke	13–11	0.03	21%	23 Jul →
dust2	9–13	-0.03	21%	23 Jul →
inferno	11–13	-0.05	7%	23 Jul →
cache	7–13	0.05	10%	23 Jul →
cache	13–10	-0.04	13%	22 Jul →
nuke	12–16	-0.03	14%	17 Jul →
inferno	13–4	-0.03	16%	17 Jul →
nuke	13–5	-0.03	5%	17 Jul →
cache	13–3	-0.03	9%	17 Jul →
mirage	7–13	-0.05	16%	17 Jul →
cache	13–6	-0.05	15%	12 Jul →
dust2	13–5	0.09	16%	12 Jul →
cache	16–13	0.01	19%	10 Jul →
cache	13–5	-0.03	14%	10 Jul →
dust2	6–13	-0.07	23%	2 Jul →
anubis	0–13	-0.08	20%	1 Jul →
inferno	6–13	-0.02	15%	1 Jul →
inferno	16–14	-0.09	22%	28 Jun →
nuke	13–6	0.01	16%	28 Jun →
overpass	9–13	0.02	20%	28 Jun →
dust2	13–7	0.09	22%	28 Jun →
cache	5–13	-0.04	6%	9 Jun →
overpass	10–13	0.04	10%	9 Jun →
overpass	1–13	-0.03	19%	5 Jun →
cache	12–12	0.05	11%	5 Jun →
dust2	7–13	-0.00	20%	1 Jun →
cache	12–12	-0.05	11%	1 Jun →
cache	13–10	-0.07	4%	7 May →
overpass	13–8	0.00	26%	5 May →
cache	13–10	0.01	14%	5 May →
cache	10–13	-0.09	19%	4 May →
cache	13–5	-0.04	10%	30 Apr →
cache	12–12	-0.07	27%	30 Apr →
cache	13–3	0.15	21%	30 Apr →
cache	13–6	-0.05	19%	30 Apr →
cache	4–13	-0.03	13%	29 Apr →
cache	13–10	-0.01	16%	29 Apr →
cache	8–13	-0.03	12%	29 Apr →
inferno	8–13	-0.01	20%	28 Apr →
inferno	13–7	0.02	13%	28 Apr →
inferno	8–13	-0.05	4%	27 Apr →
dust2	9–13	-0.09	4%	27 Apr →
mirage	11–13	-0.05	13%	27 Apr →
nuke	10–13	-0.07	20%	23 Apr →
inferno	9–13	-0.01	18%	23 Apr →
anubis	13–6	0.03	4%	22 Apr →
inferno	8–13	-0.07	0%	22 Apr →
overpass	13–9	-0.03	2%	22 Apr →