Andrew — CS2 Stats

76561198901737953[U:1:941472225]Steam profile ↗✓ No bans

2,851Tracked matches39%Win rate2022Tracked since

CSDB Rating4.4 DevelopingSupport

Premier CS Rating14,883Blue band · top ~29% of ranked players (population est.)

CSDB Leaderboard#145280 of 251476 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 14,883 +119 29 Aug – 13 Oct · 31 days played

18,578Peak Premier in tracked matches

29Days played since 2026-08-29

Premier CS Rating

3,588 below peak (18,471)
-2,714 over 30 days · declining
Next: Purple band at 15,000 — 117 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-18
Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim50

Positioning52

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateLWLWLWWWLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · +5.1pp headshot accuracy · −25ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 13%
Avg reaction 520ms

Last 10

6–4 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 16%
Avg reaction 513ms

Last 20

9–11 · 45% win rate
Avg rating 0.01
Avg headshot accuracy 14%
Avg reaction 525ms

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 (+2.2 against its own average).

Aim5.0

Utility6.8

Positioning5.2

Opening Duels1.8

Clutch4.6

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.

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 ZywOo 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Counter-strafing. Only 69% 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

Aim5.0

Positioning5.2

Utility6.8

Mechanics4.3

Opening Duels3.0

Win Impact1.4

Composite 4.4/10 (Developing), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time540ms−11ms

first ⅓ avg 552ms → last ⅓ avg 540ms

Headshot accuracy12.2%−2.3%

first ⅓ avg 14.5% → last ⅓ avg 12.2%

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

0.14Best match rating · 4–7 · cache, 17 Sept →

38%Best headshot accuracy · 9–0 · inferno, 5 Oct →

359msFastest reaction time · 4–13 · dust2, 5 Oct →

13–1Biggest win · dust2, 17 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

8–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 58% over 19anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	27	13–14	48%	0.01
nuke	A	19	11–8	58%	0.00
inferno	C	18	7–11	39%	0.01
mirage	C	14	6–8	43%	0.01
cache	D	8	2–6	25%	0.03
anubis	D	6	1–5	17%	-0.05
ancient	—	4	0–4	0%	-0.02
vertigo	—	2	1–1	50%	-0.03
train	—	1	1–0	100%	-0.00
rush_001	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

27Matches

22%Win rate

0.68Avg K/D

82.1ADR

33%Headshot %

Clutches & streaks

43%1v1 clutch win

18%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	3	33%	1.10	15.3
Dust2	1	100%	1.00	21.0
Mirage	1	0%	1.25	20.0
Inferno	1	0%	0.77	17.0
Cache	1	0%	0.43	6.0

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.

12.4%Headshot accuracy

32.4%Accuracy (enemy spotted)

34.6%Spray accuracy

69.1%Counter-strafing

10.8°Preaim

544msReaction time

37.9%T opening success

46.0%CT opening success

0.76Enemies flashed / flash

4.4%Flash assists

11.99HE damage / grenade

11.43Flashes / 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 12.4379% — below the 15% mark we flag
Aim Training →
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 37.9394% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	9–13	-0.00	12%	13 Oct →
cache	13–11	0.07	10%	13 Oct →
inferno	8–13	-0.02	19%	11 Oct →
inferno	13–9	-0.04	11%	11 Oct →
inferno	14–16	0.01	12%	11 Oct →
train	13–4	-0.00	21%	11 Oct →
inferno	13–8	-0.06	20%	6 Oct →
inferno	9–0	0.06	38%	5 Oct →
dust2	3–13	-0.06	8%	5 Oct →
nuke	13–9	0.01	15%	5 Oct →
nuke	14–16	-0.03	25%	5 Oct →
dust2	4–13	-0.03	0%	5 Oct →
inferno	8–13	0.07	14%	4 Oct →
dust2	13–6	0.09	12%	4 Oct →
anubis	6–13	-0.06	6%	2 Oct →
nuke	6–13	-0.05	7%	1 Oct →
dust2	8–13	0.00	23%	1 Oct →
mirage	13–11	0.06	9%	1 Oct →
ancient	10–13	0.03	6%	1 Oct →
mirage	16–13	0.06	11%	30 Sept →
rush_001	3–7	-0.01	0%	30 Sept →
mirage	15–15	0.11	10%	30 Sept →
vertigo	0–13	-0.07	3%	30 Sept →
cache	1–13	0.00	16%	30 Sept →
ancient	12–12	-0.01	4%	29 Sept →
vertigo	13–6	0.02	7%	29 Sept →
dust2	5–13	-0.02	9%	29 Sept →
inferno	7–13	-0.04	11%	28 Sept →
inferno	5–13	0.04	13%	28 Sept →
nuke	9–13	-0.03	8%	26 Sept →
nuke	13–9	0.06	19%	26 Sept →
nuke	13–6	-0.01	13%	26 Sept →
mirage	10–13	-0.01	10%	26 Sept →
mirage	2–13	0.03	0%	26 Sept →
inferno	7–13	-0.04	13%	25 Sept →
anubis	13–11	0.01	15%	24 Sept →
nuke	10–13	0.00	9%	24 Sept →
nuke	8–13	-0.01	5%	23 Sept →
cache	9–13	-0.03	16%	21 Sept →
mirage	6–13	-0.05	8%	21 Sept →
cache	11–13	0.02	11%	21 Sept →
mirage	5–13	-0.07	22%	21 Sept →
ancient	8–13	-0.05	6%	20 Sept →
dust2	13–10	-0.02	16%	20 Sept →
mirage	11–13	0.04	7%	20 Sept →
anubis	15–15	-0.03	19%	19 Sept →
mirage	4–13	-0.03	23%	19 Sept →
anubis	3–13	-0.07	18%	18 Sept →
dust2	13–7	0.07	26%	18 Sept →
inferno	13–4	0.02	16%	18 Sept →
anubis	11–13	-0.04	11%	18 Sept →
cache	4–7	0.14	12%	17 Sept →
dust2	13–1	-0.03	5%	17 Sept →
nuke	12–12	-0.00	15%	17 Sept →
dust2	13–9	0.03	9%	17 Sept →
cache	8–13	-0.01	10%	17 Sept →
dust2	10–13	0.06	20%	17 Sept →
dust2	4–13	-0.04	4%	17 Sept →
dust2	10–13	0.05	20%	17 Sept →
inferno	7–13	-0.00	11%	16 Sept →
mirage	13–5	0.01	15%	16 Sept →
nuke	15–15	0.02	13%	16 Sept →
dust2	10–13	0.03	26%	16 Sept →
nuke	13–6	-0.03	10%	15 Sept →
dust2	13–11	0.06	26%	15 Sept →
inferno	13–2	-0.02	15%	15 Sept →
anubis	5–13	-0.10	16%	14 Sept →
dust2	13–8	0.00	14%	14 Sept →
dust2	15–15	0.01	18%	14 Sept →
nuke	12–2	-0.01	8%	14 Sept →
dust2	11–13	0.05	10%	14 Sept →
nuke	13–4	0.02	8%	13 Sept →
inferno	3–13	-0.03	16%	13 Sept →
ancient	10–13	-0.03	10%	13 Sept →
inferno	15–15	0.01	15%	13 Sept →
dust2	13–4	-0.01	12%	13 Sept →
cache	13–10	0.03	10%	13 Sept →
dust2	15–15	0.01	18%	13 Sept →
dust2	8–13	-0.05	6%	13 Sept →
nuke	13–10	0.04	15%	13 Sept →
inferno	13–8	0.03	23%	13 Sept →
inferno	14–16	0.08	21%	12 Sept →
nuke	16–14	0.08	20%	12 Sept →
nuke	13–6	0.04	17%	12 Sept →
inferno	7–13	0.01	15%	12 Sept →
mirage	13–9	-0.06	14%	11 Sept →
mirage	13–11	0.02	19%	11 Sept →
dust2	6–13	-0.03	10%	11 Sept →
inferno	13–10	0.00	9%	11 Sept →
nuke	13–9	0.01	9%	11 Sept →
dust2	13–11	0.05	6%	11 Sept →
dust2	13–8	0.06	18%	11 Sept →
dust2	11–13	0.01	14%	10 Sept →
mirage	12–16	0.01	14%	9 Sept →
dust2	13–9	-0.03	9%	9 Sept →
dust2	13–4	0.09	20%	9 Sept →
nuke	13–11	0.03	11%	8 Sept →
mirage	13–6	0.03	24%	7 Sept →
nuke	7–13	-0.05	19%	7 Sept →
dust2	16–12	0.02	23%	7 Sept →