BigGupGup — CS2 Stats

US76561198253919630[U:1:293653902]Steam profile ↗✓ No bans

338Tracked matches54%Win rate2026Tracked since

CSDB Rating5.0 DevelopingPassive Rifler

Premier CS Rating15,921Purple band · top ~24.7% of ranked players (population est.)

CSDB Leaderboard#11856 of 19336 tracked

Ladder ranks via Leetify

Rating over time

15,921Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 15,921
Next: Pink band at 20,000 — 4,079 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue 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

Aim69

Positioning40

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateLWLWWLWLWW

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

Player DNA

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

Aim6.9

Aggression2.2

Utility3.6

Positioning4.0

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 76% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim6.9

Positioning4.0

Utility3.6

Mechanics6.2

Opening Duels0.0

Win Impact6.2

Composite 5.0/10 (Developing), 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-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time542ms−22ms

first ⅓ avg 564ms → last ⅓ avg 542ms

Headshot accuracy11.8%+3.0%

first ⅓ avg 8.8% → last ⅓ avg 11.8%

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

0.17Best rating — fachwerk 13–8

13–0Biggest win — overpass

7Longest win streak

5–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 80% over 5cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	14	5–9	36%	-0.02
shelter	A	10	6–4	60%	0.03
office	S	9	7–2	78%	0.04
anubis	A	9	5–4	56%	-0.02
train	S	8	6–2	75%	0.01
mirage	S	8	6–2	75%	-0.01
vertigo	A	8	5–3	63%	0.01
inferno	D	7	2–5	29%	-0.07
cache	D	6	1–5	17%	-0.04
nuke	S	5	4–1	80%	-0.01
boulder	A	5	3–2	60%	0.03
fachwerk	C	5	2–3	40%	0.05
overpass	—	3	1–2	33%	0.00
debris	—	2	2–0	100%	-0.04
dust2	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Skill profile

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

12.0%Headshot accuracy

37.5%Accuracy (enemy spotted)

37.8%Spray accuracy

77.7%Counter-strafing

9.7°Preaim

542msReaction time

19.1%T opening success

29.8%CT opening success

0.37Enemies flashed / flash

4.2%Flash assists

5.61HE damage / grenade

6.70Flashes / 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 11.9938% — 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 0.368 — 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 19.1116% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	3–13	-0.09	7%	21 Aug →
train	8–0	0.01	12%	21 Aug →
ancient	9–13	-0.02	5%	20 Aug →
office	13–8	0.04	12%	15 Aug →
nuke	13–7	-0.03	10%	15 Aug →
ancient	10–13	0.01	21%	15 Aug →
anubis	13–10	-0.06	12%	15 Aug →
ancient	11–13	-0.01	5%	15 Aug →
mirage	13–8	0.02	12%	15 Aug →
overpass	13–0	0.04	15%	15 Aug →
mirage	10–13	-0.04	14%	12 Aug →
anubis	15–15	0.00	7%	12 Aug →
debris	9–6	0.01	7%	12 Aug →
dust2	7–13	-0.01	18%	12 Aug →
train	13–7	-0.06	14%	12 Aug →
overpass	7–13	-0.01	6%	11 Aug →
shelter	9–13	0.01	10%	11 Aug →
ancient	13–9	-0.00	9%	11 Aug →
office	13–6	0.10	25%	11 Aug →
shelter	13–7	0.09	10%	11 Aug →
office	12–12	-0.04	31%	6 Aug →
anubis	13–9	-0.02	16%	6 Aug →
shelter	13–3	-0.02	12%	6 Aug →
inferno	3–9	-0.11	11%	6 Aug →
boulder	11–13	0.01	10%	5 Aug →
ancient	4–13	0.06	13%	5 Aug →
cache	5–13	-0.02	15%	5 Aug →
shelter	3–13	0.03	6%	5 Aug →
office	13–11	0.04	7%	5 Aug →
mirage	13–10	-0.04	7%	4 Aug →
office	6–13	-0.07	13%	4 Aug →
office	13–4	0.05	10%	3 Aug →
vertigo	13–7	-0.00	10%	3 Aug →
train	12–12	0.03	8%	3 Aug →
anubis	13–11	0.05	10%	3 Aug →
overpass	6–13	-0.02	8%	2 Aug →
train	0–13	-0.04	7%	2 Aug →
inferno	13–9	-0.01	9%	1 Aug →
anubis	13–11	0.01	7%	1 Aug →
vertigo	8–13	0.02	7%	1 Aug →
anubis	13–4	-0.02	15%	30 Jul →
inferno	3–13	-0.11	4%	30 Jul →
vertigo	10–13	-0.05	9%	29 Jul →
mirage	10–13	-0.07	5%	25 Jul →
cache	11–13	-0.03	2%	25 Jul →
inferno	9–13	-0.03	20%	25 Jul →
vertigo	13–3	0.09	11%	24 Jul →
boulder	13–4	0.10	13%	24 Jul →
nuke	4–13	-0.02	6%	24 Jul →
ancient	7–0	-0.01	7%	24 Jul →
fachwerk	13–8	0.17	17%	24 Jul →
office	13–6	-0.02	12%	22 Jul →
debris	9–1	-0.10	10%	22 Jul →
shelter	13–1	-0.02	20%	22 Jul →
shelter	13–9	0.11	9%	21 Jul →
shelter	13–5	0.15	14%	21 Jul →
fachwerk	10–13	0.07	11%	21 Jul →
cache	6–13	-0.06	8%	20 Jul →
mirage	13–8	0.02	14%	20 Jul →
ancient	15–15	-0.08	7%	20 Jul →
boulder	13–9	-0.01	12%	20 Jul →
nuke	13–5	0.03	6%	18 Jul →
shelter	12–12	0.01	9%	18 Jul →
shelter	8–13	-0.08	13%	18 Jul →
mirage	13–1	0.07	9%	18 Jul →
inferno	10–13	-0.08	9%	17 Jul →
nuke	13–6	0.01	3%	17 Jul →
ancient	13–5	-0.02	9%	17 Jul →
vertigo	13–6	0.03	11%	17 Jul →
train	13–9	0.04	5%	17 Jul →
ancient	8–13	-0.07	8%	17 Jul →
inferno	7–13	-0.11	8%	16 Jul →
cache	15–15	-0.05	10%	16 Jul →
mirage	13–6	-0.02	9%	16 Jul →
ancient	13–1	0.06	17%	16 Jul →
train	13–9	-0.05	9%	15 Jul →
office	13–9	0.10	4%	15 Jul →
boulder	10–13	-0.01	5%	15 Jul →
vertigo	9–13	0.04	17%	15 Jul →
mirage	13–4	0.02	9%	14 Jul →
train	13–6	0.09	5%	14 Jul →
fachwerk	13–3	0.08	16%	14 Jul →
vertigo	13–7	-0.05	7%	14 Jul →
cache	13–11	0.00	3%	14 Jul →
anubis	8–13	-0.03	6%	13 Jul →
nuke	16–13	-0.06	4%	13 Jul →
ancient	3–13	-0.07	8%	13 Jul →
anubis	8–13	-0.06	8%	12 Jul →
vertigo	13–5	0.05	14%	11 Jul →
office	13–11	0.12	8%	11 Jul →
ancient	2–13	-0.03	8%	11 Jul →
inferno	13–9	-0.01	8%	11 Jul →
cache	14–16	-0.06	7%	11 Jul →
train	13–7	0.05	11%	10 Jul →
shelter	13–8	0.04	8%	10 Jul →
anubis	4–13	-0.02	11%	10 Jul →
ancient	13–9	-0.01	11%	10 Jul →
boulder	13–9	0.04	8%	10 Jul →
fachwerk	5–13	-0.02	8%	9 Jul →
fachwerk	11–13	-0.05	8%	9 Jul →