BagZ — CS2 Stats

76561198162555023[U:1:202289295]1 game ban

2,217Tracked matches41%Win rate2020Tracked since

8,829Hours in CS

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating25,502Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#3255 of 30030 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=1,873), 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	Red band median
Headshot rate	62.2%	49.9%
Shot accuracy	19.0%	13.4%
Kill/death ratio	0.97	1.12
Match win rate	46.5%	48.4%

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Performance scores

Aim78

Positioning59

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLWWWWLLLWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

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

Aim7.8

Aggression7.8

Utility4.9

Positioning5.9

Opening Duels3.7

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 ropz 92% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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

Aim7.8

Positioning5.9

Utility4.9

Mechanics6.7

Opening Duels3.7

Win Impact2.1

Composite 6.1/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time572ms−38ms

first ⅓ avg 610ms → last ⅓ avg 572ms

Headshot accuracy17.4%+2.1%

first ⅓ avg 15.3% → last ⅓ avg 17.4%

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 — ancient 13–5

13–0Biggest win — cache

8Longest win streak

8–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 79% over 14anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	33	18–15	55%	0.02
cache	C	18	7–11	39%	0.02
ancient	S	14	11–3	79%	0.04
nuke	C	13	5–8	38%	0.01
anubis	D	8	2–6	25%	0.03
dust2	D	6	2–4	33%	-0.02
inferno	—	4	2–2	50%	0.03
office	—	2	1–1	50%	-0.00
vertigo	—	1	1–0	100%	0.07
overpass	—	1	0–1	0%	0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

206,700Lifetime kills

0.97K/D

4,503Matches

46.5%Match win rate

62.2%Headshot % · Top 25% of Red band

19.0%Shot accuracy · Top 10% of Red band

11,743MVPs

8,829Hours (in match)

4,041Bombs planted

1,286Bombs defused

Most-used weapons

AK-4793,310

P2000 / USP-S32,113

M4A4 / M4A1-S27,946

AWP9,527

Glock-185,773

Desert Eagle5,149

P2503,707

Five-SeveN2,846

Tec-92,815

MP92,744

Lifetime map wins

9,558dust2

5,552inferno

3,357nuke

1,853cbble

1,578train

1,489vertigo

80office

47dust

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

Faceit stats

Combat

1,339Matches

52%Win rate

1.12Avg K/D

75.8ADR

43%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	169	57%	1.11	15.5
Dust2	114	46%	1.00	15.3
Ancient	106	54%	1.00	15.3
Anubis	104	50%	0.98	14.7
Vertigo	42	48%	0.99	16.0
Nuke	40	48%	1.24	14.4
Inferno	27	41%	0.83	13.8
Train	16	44%	0.92	13.4

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.

17.0%Headshot accuracy

37.8%Accuracy (enemy spotted)

40.0%Spray accuracy

80.3%Counter-strafing

9.3°Preaim

565msReaction time

31.5%T opening success

57.7%CT opening success

0.63Enemies flashed / flash

5.6%Flash assists

8.65HE damage / grenade

5.38Flashes / 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 31.5471% — 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.

25% win rate across 8 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
cache	5–13	-0.02	20%	28 Aug →
cache	13–10	0.02	11%	26 Aug →
mirage	13–5	0.07	17%	24 Aug →
nuke	13–10	-0.00	12%	23 Aug →
cache	13–0	0.12	20%	22 Aug →
mirage	11–13	0.00	20%	22 Aug →
inferno	13–16	0.06	21%	22 Aug →
anubis	8–13	-0.01	16%	22 Aug →
nuke	16–14	0.03	18%	21 Aug →
ancient	10–13	0.01	12%	21 Aug →
mirage	13–9	0.01	16%	21 Aug →
anubis	10–13	0.01	20%	19 Aug →
mirage	13–16	0.03	19%	18 Aug →
nuke	8–13	0.05	17%	17 Aug →
mirage	7–13	0.03	14%	12 Aug →
nuke	13–9	-0.01	17%	12 Aug →
mirage	3–13	-0.02	16%	12 Aug →
mirage	13–10	0.01	14%	10 Aug →
cache	0–13	-0.11	8%	8 Aug →
dust2	2–13	-0.02	18%	8 Aug →
ancient	13–7	0.05	17%	6 Aug →
cache	7–13	0.02	15%	6 Aug →
mirage	13–8	0.07	14%	5 Aug →
cache	9–13	0.01	21%	4 Aug →
anubis	11–13	0.07	19%	4 Aug →
mirage	11–13	0.03	28%	3 Aug →
anubis	10–13	0.06	29%	2 Aug →
ancient	15–15	0.05	12%	2 Aug →
mirage	8–1	-0.02	6%	2 Aug →
mirage	13–7	0.03	16%	2 Aug →
nuke	2–13	-0.06	20%	2 Aug →
cache	10–13	0.02	24%	2 Aug →
mirage	6–13	0.02	25%	2 Aug →
cache	2–13	-0.02	4%	2 Aug →
vertigo	13–9	0.07	28%	29 Jul →
mirage	7–13	-0.01	32%	29 Jul →
cache	11–13	0.06	20%	28 Jul →
ancient	13–3	0.05	21%	28 Jul →
mirage	13–11	0.05	18%	26 Jul →
ancient	13–11	0.06	17%	26 Jul →
nuke	4–13	0.00	16%	26 Jul →
cache	6–13	0.03	17%	26 Jul →
ancient	13–7	-0.00	13%	26 Jul →
ancient	13–11	-0.03	9%	26 Jul →
mirage	13–11	0.05	15%	26 Jul →
cache	7–13	0.01	12%	26 Jul →
cache	7–13	-0.00	20%	25 Jul →
nuke	10–13	-0.01	19%	25 Jul →
mirage	15–15	-0.01	14%	25 Jul →
mirage	16–13	-0.02	12%	24 Jul →
inferno	16–12	-0.07	14%	23 Jul →
ancient	13–5	0.03	11%	23 Jul →
anubis	1–13	-0.02	21%	22 Jul →
cache	10–13	-0.00	10%	22 Jul →
cache	13–2	0.09	22%	18 Jul →
ancient	13–7	0.03	10%	18 Jul →
ancient	13–5	0.07	15%	18 Jul →
dust2	7–13	-0.10	8%	18 Jul →
dust2	13–7	-0.02	24%	18 Jul →
cache	13–8	0.02	12%	17 Jul →
nuke	3–13	0.05	20%	15 Jul →
mirage	13–6	0.04	12%	15 Jul →
mirage	9–13	-0.04	19%	14 Jul →
mirage	13–11	-0.00	16%	11 Jul →
mirage	11–13	0.02	12%	11 Jul →
mirage	13–4	0.03	23%	11 Jul →
inferno	13–7	0.09	16%	11 Jul →
ancient	13–5	0.16	15%	11 Jul →
mirage	13–11	0.01	8%	8 Jul →
office	13–10	0.03	22%	8 Jul →
cache	13–10	0.05	20%	8 Jul →
cache	13–9	0.04	20%	8 Jul →
cache	13–2	0.09	17%	8 Jul →
office	5–13	-0.03	24%	8 Jul →
mirage	4–13	0.04	22%	5 Jul →
dust2	11–13	-0.09	0%	5 Jul →
mirage	13–11	0.04	19%	4 Jul →
dust2	13–3	0.08	12%	3 Jul →
nuke	15–15	0.04	12%	3 Jul →
nuke	13–3	0.03	18%	3 Jul →
mirage	5–13	0.05	12%	3 Jul →
mirage	9–3	0.01	21%	29 Jun →
mirage	11–13	-0.01	10%	29 Jun →
mirage	13–6	-0.00	14%	29 Jun →
mirage	13–10	0.03	12%	29 Jun →
mirage	8–3	0.11	15%	29 Jun →
ancient	13–6	0.05	14%	29 Jun →
ancient	2–10	0.00	0%	28 Jun →
anubis	13–8	0.11	16%	27 Jun →
ancient	13–8	0.08	13%	27 Jun →
nuke	13–5	0.04	13%	25 Jun →
mirage	4–13	-0.00	9%	23 Jun →
overpass	7–13	0.12	15%	23 Jun →
mirage	3–13	-0.07	16%	23 Jun →
nuke	11–13	0.02	19%	22 Jun →
anubis	16–12	0.01	19%	21 Jun →
nuke	15–15	0.02	10%	21 Jun →
inferno	7–13	0.04	34%	14 Jun →
anubis	15–15	0.03	20%	14 Jun →
dust2	11–13	0.05	13%	14 Jun →