shortstackbully — CS2 Stats

US76561197979144031[U:1:18878303]Steam profile ↗✓ No bans

1,199Tracked matches50%Win rate2020Tracked since

2,167Hours in CS

CSDB Rating5.0 DevelopingPassive Rifler

Premier CS Rating21,876Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#9959 of 33526 tracked

WingmanSilver I

Ladder ranks via Leetify

Rating over time

21,876Peak Premier on CSDB

1Days observed since 2026-08-29

Premier CS Rating

At peak — 21,876
Next: Red band at 25,000 — 3,124 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-29
Purple band first seen 2026-08-29

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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	Pink band median	Red band median	vs Red band
Headshot rate	41.3%	47.2%	49.9%	8.7% short
Shot accuracy	19.0%	12.7%	13.4%	above
Kill/death ratio	0.91	1.09	1.12	0.21 short
Match win rate	39.9%	46.6%	48.4%	8.5% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim66

Positioning47

Utility44

0–100 skill scores via Leetify.

Recent form

COLD44–49–7Last 10044%Win rateLWLLLWLLWL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

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

Aim6.6

Aggression1.9

Utility4.4

Positioning4.7

Opening Duels0.0

Clutch5.2

Strong CT-side openerLimited utility dependence

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 78% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-fight frequency.

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 36% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.6

Positioning4.7

Utility4.4

Mechanics5.0

Opening Duels0.8

Win Impact5.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time517ms−35ms

first ⅓ avg 552ms → last ⅓ avg 517ms

Headshot accuracy10.5%−2.6%

first ⅓ avg 13.1% → last ⅓ avg 10.5%

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

0.10Best rating — anubis 13–10

13–4Biggest win — dust2

4Longest win streak

9–5In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 71% over 17cacheWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	22	7–15	32%	-0.02
anubis	B	18	9–9	50%	-0.00
nuke	C	18	7–11	39%	-0.02
inferno	S	17	12–5	71%	0.01
dust2	C	16	7–9	44%	-0.01
cache	D	7	2–5	29%	-0.04
mirage	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

Lifetime stats

111,584Lifetime kills

0.91K/D

4,108Matches

39.9%Match win rate

41.3%Headshot %

19.0%Shot accuracy · Top 10% of Pink band

9,382MVPs

2,167Hours (in match)

4,109Bombs planted

926Bombs defused

Most-used weapons

AK-4733,654

AWP19,102

M4A4 / M4A1-S15,566

P2000 / USP-S11,282

Desert Eagle7,345

Glock-183,776

MP92,524

SSG 082,075

MAC-101,860

P901,435

Lifetime map wins

8,237dust2

5,275inferno

3,606nuke

1,392vertigo

884train

200cbble

130office

104lake

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

Faceit stats

Combat

340Matches

50%Win rate

1.24Avg K/D

79.3ADR

30%Headshot %

Clutches & streaks

46%1v1 clutch win

19%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	21	57%	1.06	17.7
Ancient	17	59%	0.98	16.4
Dust2	13	69%	1.11	15.5
Inferno	7	29%	0.95	12.4
Mirage	5	60%	1.33	16.6
Nuke	4	75%	1.16	16.5
Overpass	4	25%	0.99	18.0
Cache	2	50%	0.97	14.5

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.

10.7%Headshot accuracy

39.3%Accuracy (enemy spotted)

42.2%Spray accuracy

72.6%Counter-strafing

12.1°Preaim

511msReaction time

18.6%T opening success

36.3%CT opening success

0.44Enemies flashed / flash

6.5%Flash assists

10.81HE damage / grenade

2.98Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1352° — above the 12° mark we flag
Aim Training →
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 10.7017% — 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 0.4391 — below the 0.5 mark we flag
Grenade Lineups →

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

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