Baggigan — CS2 Stats

76561197970302801[U:1:10037073]

800Tracked matches40%Win rate2021Tracked since

2,269Hours in CS4Hrs last 2 wks

CSDB Rating2.1 Learning

Premier CS Rating4,920Grey band · top ~79.1% of ranked players (population est.)

CSDB Leaderboard#25740 of 33415 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median	Level 3 median	vs Level 3
Headshot rate	31.2%	42.1%	42.1%	10.9% short
Shot accuracy	18.7%	12.9%	12.1%	above
Kill/death ratio	0.81	1.00	0.99	0.18 short
Match win rate	43.1%	42.9%	43.9%	meets

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim29

Positioning30

Utility43

0–100 skill scores via Leetify.

Recent form

COLD33–66–1Last 10033%Win rateWLLLLLWLLL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim2.9

Aggression2.0

Utility4.3

Positioning3.0

Opening Duels0.0

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 67% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 50% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9

Positioning3.0

Utility4.3

Mechanics0.1

Opening Duels0.0

Win Impact1.7

Composite 2.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time631ms−42ms

first ⅓ avg 672ms → last ⅓ avg 631ms

Headshot accuracy10.4%+0.1%

first ⅓ avg 10.3% → last ⅓ avg 10.4%

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

0.07Best rating — cache 13–3

13–1Biggest win — cache

4Longest win streak

3–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 50% over 6ancientWeakest map · 20% over 25

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	27	11–16	41%	-0.03
ancient	D	25	5–20	20%	-0.05
cache	C	16	7–9	44%	-0.03
anubis	D	15	4–11	27%	-0.06
mirage	C	8	3–5	38%	-0.03
nuke	B	6	3–3	50%	-0.02
overpass	—	2	0–2	0%	-0.09
shelter	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 25). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,455Lifetime kills

0.81K/D

3,164Matches

43.1%Match win rate · Top 50% of Level 2 players

31.2%Headshot %

18.7%Shot accuracy · Top 10% of Level 2 players

4,953MVPs

1,330Hours (in match)

2,566Bombs planted

506Bombs defused

Most-used weapons

AK-478,701

M4A4 / M4A1-S6,528

P904,743

AUG4,563

SG 5532,238

Galil AR2,007

AWP1,903

P2000 / USP-S1,892

UMP-451,545

MP91,365

Lifetime map wins

9,577inferno

1,340nuke

780cbble

626dust2

605train

437vertigo

259aztec

215dust

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.8%Headshot accuracy

32.4%Accuracy (enemy spotted)

40.1%Spray accuracy

50.3%Counter-strafing

11.2°Preaim

617msReaction time

22.8%T opening success

22.2%CT opening success

0.45Enemies flashed / flash

0.0%Flash assists

10.74HE damage / grenade

4.19Flashes / 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 10.8362% — below the 15% mark we flag
Aim Training →
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 0.4506 — 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 22.7962% — 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.

20% win rate across 25 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
inferno	13–10	-0.02	11%	17 Aug →
ancient	6–13	-0.08	11%	17 Aug →
ancient	6–13	-0.06	9%	15 Aug →
inferno	10–13	-0.06	10%	15 Aug →
ancient	9–13	-0.07	15%	15 Aug →
inferno	7–13	-0.05	2%	15 Aug →
anubis	13–7	-0.12	15%	15 Aug →
ancient	7–13	-0.07	9%	15 Aug →
ancient	6–13	-0.10	21%	14 Aug →
cache	7–13	-0.04	14%	14 Aug →
inferno	13–10	-0.06	11%	11 Aug →
ancient	13–9	-0.03	4%	11 Aug →
cache	9–13	-0.02	21%	11 Aug →
anubis	5–13	-0.06	8%	11 Aug →
ancient	10–13	-0.02	11%	9 Aug →
mirage	3–13	-0.06	11%	8 Aug →
inferno	5–13	0.05	10%	8 Aug →
inferno	7–13	-0.07	12%	8 Aug →
mirage	13–6	0.03	8%	4 Aug →
inferno	3–0	-0.06	0%	4 Aug →
ancient	16–12	-0.08	10%	2 Aug →
inferno	10–13	-0.03	13%	2 Aug →
anubis	13–6	0.01	12%	1 Aug →
ancient	5–13	-0.13	8%	1 Aug →
cache	13–11	-0.08	11%	1 Aug →
mirage	13–5	0.04	11%	30 Jul →
nuke	13–7	-0.06	7%	29 Jul →
inferno	16–12	-0.06	5%	27 Jul →
inferno	11–13	-0.04	21%	27 Jul →
anubis	4–13	-0.11	4%	27 Jul →
inferno	3–13	-0.09	16%	26 Jul →
cache	10–13	-0.05	7%	26 Jul →
cache	13–9	-0.05	5%	25 Jul →
ancient	11–13	-0.03	11%	25 Jul →
anubis	4–13	-0.13	0%	24 Jul →
cache	13–3	0.07	6%	24 Jul →
cache	3–13	-0.06	14%	24 Jul →
inferno	10–13	-0.08	22%	24 Jul →
ancient	13–10	-0.04	8%	23 Jul →
inferno	9–13	0.00	17%	23 Jul →
ancient	7–13	0.01	15%	22 Jul →
ancient	8–13	-0.08	8%	22 Jul →
nuke	6–13	0.07	11%	22 Jul →
ancient	5–13	-0.11	7%	15 Jul →
shelter	12–12	-0.04	14%	15 Jul →
inferno	13–2	0.01	28%	14 Jul →
inferno	13–11	0.04	14%	13 Jul →
inferno	13–2	0.01	11%	13 Jul →
cache	13–1	0.05	18%	12 Jul →
mirage	6–13	-0.03	11%	12 Jul →
cache	4–13	-0.06	17%	12 Jul →
inferno	13–3	0.00	2%	11 Jul →
anubis	6–13	-0.07	16%	11 Jul →
ancient	10–13	0.07	12%	11 Jul →
anubis	13–4	-0.06	10%	11 Jul →
inferno	9–13	-0.09	5%	11 Jul →
inferno	6–13	-0.06	15%	11 Jul →
cache	13–7	0.01	5%	10 Jul →
ancient	13–2	-0.04	11%	10 Jul →
anubis	6–13	-0.04	21%	10 Jul →
cache	10–13	-0.02	12%	10 Jul →
cache	9–13	-0.05	21%	10 Jul →
cache	9–13	-0.05	8%	9 Jul →
cache	13–5	0.04	6%	9 Jul →
overpass	4–13	-0.12	8%	4 Jul →
ancient	8–13	-0.04	8%	4 Jul →
anubis	7–13	-0.06	4%	4 Jul →
inferno	4–13	-0.08	0%	3 Jul →
inferno	13–9	0.03	11%	3 Jul →
ancient	1–13	-0.06	23%	3 Jul →
cache	13–11	-0.07	8%	2 Jul →
mirage	13–10	-0.09	23%	1 Jul →
anubis	13–16	-0.04	6%	28 Jun →
ancient	11–13	-0.06	3%	28 Jun →
mirage	9–13	-0.08	14%	28 Jun →
inferno	13–3	0.02	14%	28 Jun →
overpass	1–13	-0.06	3%	27 Jun →
ancient	3–13	-0.07	10%	27 Jun →
anubis	4–13	-0.09	6%	27 Jun →
anubis	4–13	-0.06	15%	26 Jun →
inferno	7–13	-0.04	6%	26 Jun →
inferno	11–13	-0.05	10%	26 Jun →
ancient	3–13	-0.06	16%	26 Jun →
anubis	3–13	-0.07	13%	24 Jun →
anubis	10–13	-0.02	7%	24 Jun →
mirage	11–13	-0.07	3%	23 Jun →
nuke	8–13	-0.07	12%	23 Jun →
nuke	13–9	-0.03	9%	22 Jun →
cache	7–13	-0.08	11%	9 May →
anubis	13–9	-0.01	7%	11 Apr →
inferno	9–13	-0.03	15%	11 Apr →
inferno	13–7	-0.01	15%	28 Feb →
ancient	8–13	-0.03	5%	28 Feb →
inferno	10–13	-0.04	11%	28 Feb →
ancient	13–8	-0.03	8%	28 Feb →
nuke	13–2	0.04	20%	21 Feb →
ancient	9–13	-0.01	10%	21 Feb →
ancient	4–13	-0.10	5%	20 Feb →
mirage	4–13	0.03	17%	15 Feb →
nuke	9–13	-0.05	5%	15 Feb →