🗿⃤⃢🍷B4ldy — CS2 Stats

76561198175596745[U:1:215331017]Steam profile ↗✓ No bans

1,548Tracked matches41%Win rate2020Tracked since

CSDB Rating5.5 SolidSupport

Premier CS Rating11,469Blue band · top ~47.1% of ranked players (population est.)

CSDB Leaderboard#172624 of 252942 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,469 -2,664 28 Jul – 9 Oct · 22 days played

Faceit ELO: 1,467 +0 13 Sept – 28 Sept · 3 observations

14,423Peak Premier in tracked matches

1,467Highest Faceit ELO seen on CSDB

50Days played since 2026-07-06

Faceit ELO

At peak — 1,467
Next: Level 8 at 1,531 — 64 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-09-13
Level 6 first seen 2026-09-13

Premier CS Rating

2,678 below peak (14,147)
-273 over 30 days · steady
Next: Purple band at 15,000 — 3,531 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-09-13
Light Blue band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim82

Positioning52

Utility52

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLLLWLLWLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.9pp headshot accuracy · −38ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating 0.02
Avg headshot accuracy 23%
Avg reaction 500ms

Last 10

3–7 · 30% win rate
Avg rating 0.00
Avg headshot accuracy 21%
Avg reaction 518ms

Last 20

8–12 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 537ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim8.2

Utility5.2

Positioning5.2

Opening Duels3.0

Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like sh1ro 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

Aim8.2

Positioning5.2

Utility5.2

Mechanics6.4

Opening Duels3.6

Win Impact2.1

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time530ms−115ms

first ⅓ avg 645ms → last ⅓ avg 530ms

Headshot accuracy22.1%+0.2%

first ⅓ avg 21.8% → last ⅓ avg 22.1%

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.

Personal bests

0.25Best match rating · 13–2 · dust2, 7 Sept →

50%Best headshot accuracy · 2–13 · inferno, 6 Aug →

375msFastest reaction time · 13–4 · inferno, 1 Sept →

13–1Biggest win · nuke, 27 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak

L3Current streak

7–11In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 64% over 11ancientWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	25	12–13	48%	0.02
nuke	B	13	6–7	46%	0.01
cache	B	13	7–6	54%	-0.00
mirage	B	12	6–6	50%	-0.01
ancient	D	12	4–8	33%	0.01
inferno	A	11	7–4	64%	0.01
anubis	D	9	3–6	33%	0.01
overpass	—	3	1–2	33%	-0.00
train	—	1	0–1	0%	0.02
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

559Matches

52%Win rate

1.09Avg K/D

77.6ADR

47%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	112	47%	1.04	15.4
Inferno	57	61%	1.01	14.8
Anubis	52	46%	1.02	15.7
Ancient	46	54%	1.10	15.9
Dust2	37	46%	0.91	14.8
Nuke	26	38%	0.79	14.1
Vertigo	24	50%	1.03	15.8
Cache	10	50%	1.07	18.6

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.

21.7%Headshot accuracy

35.1%Accuracy (enemy spotted)

38.2%Spray accuracy

78.8%Counter-strafing

8.5°Preaim

524msReaction time

42.3%T opening success

46.6%CT opening success

0.52Enemies flashed / flash

6.3%Flash assists

6.41HE damage / grenade

10.46Flashes / match

Recommended for you

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.

33% win rate across 12 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
anubis	6–13	0.01	22%	9 Oct →
mirage	11–13	0.01	26%	3 Oct →
dust2	7–13	0.07	22%	29 Sept →
mirage	13–10	0.02	24%	28 Sept →
overpass	12–16	0.01	23%	18 Sept →
mirage	7–13	-0.09	28%	18 Sept →
anubis	13–4	0.08	13%	17 Sept →
dust2	7–13	-0.09	26%	17 Sept →
mirage	13–2	0.05	22%	17 Sept →
dust2	6–13	-0.06	9%	15 Sept →
dust2	4–13	-0.08	15%	15 Sept →
train	10–13	0.02	38%	15 Sept →
ancient	10–13	-0.02	23%	15 Sept →
inferno	13–7	0.07	19%	14 Sept →
dust2	13–8	0.06	20%	14 Sept →
nuke	7–13	-0.06	15%	10 Sept →
nuke	13–11	-0.03	29%	9 Sept →
overpass	8–13	-0.03	18%	9 Sept →
cache	13–11	-0.02	19%	8 Sept →
dust2	13–2	0.25	28%	7 Sept →
dust2	13–10	0.07	27%	7 Sept →
inferno	13–10	0.02	24%	5 Sept →
dust2	19–16	0.00	16%	5 Sept →
anubis	13–10	0.02	15%	4 Sept →
ancient	8–13	0.02	17%	4 Sept →
dust2	8–13	0.08	25%	4 Sept →
nuke	6–13	0.02	24%	4 Sept →
ancient	15–15	0.00	17%	2 Sept →
dust2	4–13	-0.04	32%	2 Sept →
anubis	13–16	-0.01	20%	1 Sept →
inferno	13–4	0.12	42%	1 Sept →
dust2	9–13	-0.05	21%	1 Sept →
ancient	0–13	-0.09	14%	1 Sept →
mirage	7–13	0.01	23%	29 Aug →
vertigo	25–23	0.02	16%	29 Aug →
ancient	14–16	0.00	15%	28 Aug →
nuke	13–6	-0.03	12%	27 Aug →
nuke	13–5	0.05	18%	27 Aug →
dust2	13–9	0.01	19%	27 Aug →
cache	14–16	-0.03	12%	26 Aug →
inferno	13–8	0.02	27%	26 Aug →
cache	13–5	0.00	38%	25 Aug →
anubis	13–16	-0.03	12%	25 Aug →
anubis	11–13	-0.03	19%	25 Aug →
cache	8–13	0.04	12%	21 Aug →
anubis	4–13	0.03	21%	21 Aug →
cache	11–13	-0.00	23%	20 Aug →
nuke	6–13	0.02	32%	20 Aug →
dust2	7–13	-0.08	22%	19 Aug →
dust2	13–4	0.11	28%	18 Aug →
ancient	13–8	0.02	20%	17 Aug →
mirage	10–3	-0.01	14%	14 Aug →
cache	13–10	-0.01	18%	7 Aug →
inferno	13–8	0.02	26%	7 Aug →
cache	16–12	0.05	23%	6 Aug →
dust2	13–4	0.05	15%	6 Aug →
dust2	13–8	0.05	15%	6 Aug →
nuke	5–13	-0.07	33%	6 Aug →
inferno	2–13	-0.09	50%	6 Aug →
anubis	13–9	0.02	29%	5 Aug →
ancient	16–14	-0.01	22%	5 Aug →
mirage	0–11	-0.05	30%	5 Aug →
cache	13–2	-0.03	21%	5 Aug →
ancient	11–13	0.08	24%	5 Aug →
dust2	13–6	-0.00	23%	5 Aug →
overpass	13–8	0.02	34%	3 Aug →
cache	10–13	0.02	26%	30 Jul →
ancient	10–13	0.01	21%	29 Jul →
anubis	11–13	-0.02	19%	28 Jul →
inferno	10–13	0.09	34%	28 Jul →
nuke	13–1	0.08	14%	27 Jul →
dust2	9–13	0.07	26%	27 Jul →
ancient	11–13	0.07	26%	27 Jul →
nuke	13–16	0.04	27%	26 Jul →
inferno	11–13	-0.05	21%	25 Jul →
mirage	13–8	-0.03	18%	25 Jul →
nuke	5–13	0.04	28%	25 Jul →
cache	13–6	-0.02	19%	24 Jul →
dust2	13–9	-0.01	22%	23 Jul →
nuke	13–8	0.08	23%	23 Jul →
dust2	15–15	0.05	21%	23 Jul →
nuke	10–13	-0.07	12%	23 Jul →
cache	14–16	-0.00	25%	22 Jul →
mirage	13–7	0.01	16%	22 Jul →
cache	6–13	-0.05	21%	20 Jul →
inferno	13–11	-0.02	21%	19 Jul →
ancient	13–11	0.08	19%	19 Jul →
dust2	10–13	0.03	36%	19 Jul →
dust2	13–11	-0.02	27%	18 Jul →
dust2	9–13	-0.04	11%	15 Jul →
mirage	13–7	0.03	32%	14 Jul →
ancient	13–4	-0.01	17%	14 Jul →
dust2	3–13	0.06	33%	12 Jul →
inferno	4–13	-0.03	21%	11 Jul →
dust2	13–3	0.02	21%	11 Jul →
mirage	8–13	-0.04	11%	10 Jul →
mirage	14–16	-0.00	12%	7 Jul →
cache	13–9	0.02	23%	7 Jul →
nuke	9–6	0.05	18%	7 Jul →
inferno	13–5	0.01	26%	6 Jul →