BigMama — CS2 Stats

FR76561198080279290[U:1:120013562]Steam profile ↗

1,537Tracked matches32%Win rate2020Tracked since

2,980Hours in CS15Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#11710 of 27991 tracked

FaceitLevel 8 · 1,577 ELOTop 31.2% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median	Level 9 median	vs Level 9
Headshot rate	55.9%	47.2%	49.0%	above
Shot accuracy	14.2%	12.3%	13.1%	above
Kill/death ratio	1.65	1.07	1.08	above
Match win rate	47.5%	46.3%	46.9%	meets

Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim75

Positioning50

Utility73

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateLLWLLLLTLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.5

Aggression5.6

Utility7.3

Positioning5.0

Opening Duels1.8

Clutch4.4

Strong CT-side openerEffective flashes

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 Twistzz 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 47% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim7.5

Positioning5.0

Utility7.3

Mechanics6.0

Opening Duels2.1

Win Impact0.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time572ms−42ms

first ⅓ avg 613ms → last ⅓ avg 572ms

Headshot accuracy21.8%−1.2%

first ⅓ avg 23.0% → last ⅓ avg 21.8%

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

0.22Best rating — dust2 13–1

13–0Biggest win — dust2

5Longest win streak

L2Current streak

5–9In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 60% over 5ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	49	22–27	45%	0.02
mirage	C	16	7–9	44%	-0.01
cache	B	13	7–6	54%	0.01
ancient	C	8	3–5	38%	-0.01
nuke	A	5	3–2	60%	0.00
anubis	—	3	2–1	67%	-0.00
vertigo	—	2	1–1	50%	0.05
inferno	—	2	2–0	100%	0.02
boulder	—	1	1–0	100%	0.08
train	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,774Lifetime kills

1.65K/D · Top 5% of Level 8 players

4,240Matches

47.5%Match win rate · Top 50% of Level 8 players

55.9%Headshot % · Top 25% of Level 8 players

14.2%Shot accuracy · Top 50% of Level 8 players

10,382MVPs

1,659Hours (in match)

3,079Bombs planted

1,165Bombs defused

Most-used weapons

AK-4728,637

M4A4 / M4A1-S25,738

MP914,637

AWP13,101

P2000 / USP-S9,736

Desert Eagle6,560

Molotov3,829

Knife3,744

Glock-183,137

P902,851

Lifetime map wins

14,548dust2

2,311nuke

1,990inferno

916vertigo

796train

413cbble

413lake

160bank

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

Faceit stats

Combat

197Matches

55%Win rate

1.18Avg K/D

81.9ADR

46%Headshot %

Clutches & streaks

42%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	38	55%	1.19	16.5
Dust2	21	38%	1.11	16.7
Anubis	20	65%	1.34	17.9
Ancient	19	47%	1.13	16.9
Inferno	13	69%	1.05	13.7
Nuke	11	45%	1.17	15.0
Overpass	9	67%	1.21	16.3
Vertigo	4	25%	1.08	16.3

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.

21.9%Headshot accuracy

36.2%Accuracy (enemy spotted)

39.8%Spray accuracy

76.9%Counter-strafing

11.2°Preaim

561msReaction time

27.7%T opening success

46.7%CT opening success

0.73Enemies flashed / flash

8.6%Flash assists

11.15HE damage / grenade

19.68Flashes / 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 27.7457% — 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 8 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
dust2	6–13	0.01	23%	27 Aug →
dust2	9–13	0.02	27%	27 Aug →
nuke	13–4	0.11	24%	21 Aug →
mirage	10–13	-0.08	17%	21 Aug →
nuke	9–13	-0.05	38%	20 Aug →
cache	5–13	-0.03	17%	20 Aug →
mirage	9–13	0.02	15%	20 Aug →
ancient	15–15	-0.03	24%	20 Aug →
mirage	4–13	-0.08	11%	20 Aug →
dust2	13–10	-0.02	34%	19 Aug →
ancient	13–6	-0.02	11%	19 Aug →
dust2	15–15	0.06	20%	19 Aug →
dust2	13–6	0.01	15%	19 Aug →
dust2	7–13	-0.05	13%	17 Aug →
dust2	7–13	-0.01	20%	17 Aug →
anubis	10–13	-0.03	15%	17 Aug →
dust2	11–13	-0.01	20%	17 Aug →
anubis	13–7	0.02	22%	17 Aug →
cache	9–13	0.02	22%	15 Aug →
mirage	13–11	-0.03	31%	15 Aug →
mirage	11–13	-0.09	21%	15 Aug →
cache	13–6	0.06	23%	15 Aug →
dust2	11–13	0.05	23%	13 Aug →
vertigo	9–13	0.07	24%	13 Aug →
dust2	4–13	-0.08	25%	13 Aug →
cache	13–5	-0.01	26%	12 Aug →
dust2	10–13	-0.05	23%	12 Aug →
ancient	8–13	-0.01	17%	11 Aug →
ancient	2–13	-0.02	18%	11 Aug →
dust2	13–8	-0.02	32%	11 Aug →
inferno	13–9	0.05	16%	11 Aug →
inferno	13–7	-0.00	25%	10 Aug →
dust2	13–7	0.03	27%	10 Aug →
nuke	6–13	-0.03	27%	8 Aug →
cache	8–13	-0.01	13%	8 Aug →
cache	13–8	0.03	23%	7 Aug →
dust2	13–4	0.00	19%	7 Aug →
ancient	13–8	0.04	30%	1 Aug →
mirage	9–13	-0.05	26%	1 Aug →
mirage	13–10	0.03	20%	1 Aug →
dust2	12–16	-0.01	32%	1 Aug →
mirage	13–4	0.17	31%	28 Jul →
dust2	10–13	0.00	30%	28 Jul →
mirage	10–13	-0.01	30%	28 Jul →
dust2	13–7	0.05	32%	28 Jul →
dust2	11–13	-0.05	9%	28 Jul →
nuke	13–9	0.04	32%	28 Jul →
mirage	13–9	-0.00	22%	27 Jul →
dust2	6–13	0.03	29%	25 Jul →
dust2	3–13	-0.05	21%	24 Jul →
mirage	1–13	0.01	28%	24 Jul →
ancient	8–13	-0.03	22%	24 Jul →
cache	13–8	0.01	28%	24 Jul →
dust2	12–12	0.04	43%	23 Jul →
dust2	13–1	0.22	53%	23 Jul →
dust2	8–13	0.03	18%	17 Jul →
dust2	3–13	0.01	16%	17 Jul →
cache	13–7	0.04	28%	16 Jul →
boulder	13–4	0.08	25%	12 Jul →
cache	11–13	0.06	36%	11 Jul →
ancient	13–3	-0.02	21%	10 Jul →
mirage	13–7	0.08	26%	6 Jul →
mirage	11–13	-0.05	19%	6 Jul →
ancient	5–13	-0.01	36%	6 Jul →
cache	12–12	0.03	29%	3 Jul →
dust2	13–5	-0.01	27%	3 Jul →
dust2	13–7	0.06	21%	2 Jul →
dust2	13–4	-0.01	26%	2 Jul →
dust2	9–13	-0.02	32%	30 Jun →
dust2	16–14	0.03	25%	24 Jun →
dust2	13–7	0.06	31%	24 Jun →
dust2	8–13	-0.06	17%	21 Jun →
dust2	13–3	0.05	21%	17 Jun →
dust2	9–13	-0.01	26%	16 Jun →
dust2	11–13	0.06	34%	16 Jun →
nuke	13–9	-0.04	11%	15 Jun →
mirage	13–4	0.03	23%	13 Jun →
dust2	13–0	0.11	41%	13 Jun →
cache	13–11	-0.04	30%	6 Jun →
anubis	13–8	-0.01	12%	6 Jun →
dust2	5–13	0.03	26%	6 Jun →
vertigo	13–7	0.03	30%	6 Jun →
dust2	7–13	0.01	37%	4 Jun →
dust2	11–13	-0.04	9%	2 Jun →
dust2	13–6	-0.02	19%	2 Jun →
dust2	13–9	0.07	20%	30 May →
dust2	10–3	0.05	20%	28 May →
cache	7–13	-0.01	23%	28 May →
dust2	13–11	0.02	25%	28 May →
dust2	13–8	0.03	25%	26 May →
dust2	13–4	0.16	19%	26 May →
dust2	3–0	-0.05	0%	26 May →
mirage	11–13	-0.05	20%	23 May →
mirage	13–11	-0.05	31%	23 May →
cache	13–10	0.01	18%	23 May →
dust2	12–12	-0.02	37%	20 May →
dust2	13–6	0.08	21%	20 May →
dust2	5–13	0.04	12%	20 May →
dust2	7–13	0.03	16%	19 May →
train	8–0	0.03	22%	13 May →