wtp'n | Miller Sky Life — CS2 Stats

76561199106129009[U:1:1145863281]Steam profile ↗✓ No bans

1,572Tracked matches33%Win rate2021Tracked since

1,769Hours in CS98Hrs last 2 wks

CSDB Rating2.1 LearningSupport

Premier CS Rating1,334Grey band · top ~94.3% of ranked players (population est.)

CSDB Leaderboard#186400 of 232910 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+293Premier CS Rating · 1,041 → 1,334

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 11 days played since 31 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 1,334 +334 31 Aug – 20 Sept · 13 days played

1,898Peak Premier in tracked matches

11Days played since 2026-08-31

Premier CS Rating

269 below peak (1,603)
Next: Light Blue band at 5,000 — 3,666 to go

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,468), 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	Grey band median	Light Blue band median	vs Light Blue band
Headshot rate	34.5%	38.1%	39.9%	5.4% short
Shot accuracy	4.5%	3.7%	6.9%	2.4% short
Kill/death ratio	0.65	0.83	0.92	0.26 short
Match win rate	35.8%	40.1%	42.3%	6.5% short

This profile sits below the typical Light Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue 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

Aim17

Positioning32

Utility38

0–100 skill scores via Leetify.

Recent form

COLD32–68Last 10032%Win rateWWWLLLLLLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.4pp headshot accuracy · −98ms reaction

Win rate up 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

3–2 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 9%
Avg reaction 580ms

Last 10

3–7 · 30% win rate
Avg rating -0.05
Avg headshot accuracy 13%
Avg reaction 658ms

Last 20

4–16 · 20% win rate
Avg rating -0.05
Avg headshot accuracy 12%
Avg reaction 707ms

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 (+1.5 against its own average).

Aim1.7

Utility3.8

Positioning3.2

Opening Duels0.0

Limited 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.

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 NiKo 63% 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

Areas to improve

Reaction time. 706ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim1.7

Positioning3.2

Utility3.8

Mechanics3.8

Opening Duels0.4

Win Impact0.0

Composite 2.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05+0.01

first ⅓ avg -0.06 → last ⅓ avg -0.05

Reaction time706ms−11ms

first ⅓ avg 717ms → last ⅓ avg 706ms

Headshot accuracy12.2%+2.3%

first ⅓ avg 9.9% → 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

0.18Best match rating · 6–1 · ancient, 15 Sept →

33%Best headshot accuracy · 13–3 · mirage, 19 Sept →

422msFastest reaction time · 9–13 · inferno, 20 Sept →

13–3Biggest win · mirage, 19 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W3Current streak

6–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 19% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	9–16	36%	-0.05
nuke	D	21	6–15	29%	-0.05
inferno	D	16	3–13	19%	-0.07
dust2	D	14	3–11	21%	-0.03
ancient	D	9	3–6	33%	-0.02
cache	S	7	5–2	71%	-0.02
anubis	D	6	2–4	33%	-0.06
vertigo	—	1	0–1	0%	-0.07
office	—	1	1–0	100%	-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,924Lifetime kills

0.65K/D

2,257Matches

35.8%Match win rate

34.5%Headshot %

4.5%Shot accuracy · Top 50% of Grey band

2,289MVPs

774Hours (in match)

1,589Bombs planted

256Bombs defused

Most-used weapons

M4A4 / M4A1-S6,904

AK-476,324

P2000 / USP-S1,645

Glock-181,297

Galil AR988

MAC-10914

MP9860

AWP777

PP-Bizon712

MP7692

Lifetime map wins

5,668dust2

2,062inferno

1,792nuke

533train

425vertigo

136office

11italy

11safehouse

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

Skill profile

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

11.9%Headshot accuracy

26.3%Accuracy (enemy spotted)

30.1%Spray accuracy

67.1%Counter-strafing

12.5°Preaim

706msReaction time

28.2%T opening success

33.3%CT opening success

0.42Enemies flashed / flash

7.5%Flash assists

11.43HE damage / grenade

3.85Flashes / 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 12.5447° — 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 11.9256% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 705.8297ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Inferno

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–4	0.03	9%	20 Sept →
anubis	9–5	0.00	9%	20 Sept →
mirage	13–9	-0.06	7%	20 Sept →
inferno	9–13	-0.07	13%	20 Sept →
nuke	4–13	-0.07	5%	20 Sept →
vertigo	10–13	-0.07	26%	20 Sept →
inferno	1–13	-0.07	18%	20 Sept →
nuke	5–13	-0.05	8%	20 Sept →
mirage	5–13	-0.06	22%	20 Sept →
anubis	9–13	-0.07	15%	20 Sept →
mirage	8–13	-0.08	10%	19 Sept →
inferno	9–13	-0.03	14%	19 Sept →
nuke	11–13	-0.03	10%	19 Sept →
inferno	2–13	-0.12	25%	19 Sept →
inferno	1–13	-0.05	9%	19 Sept →
nuke	7–13	-0.09	10%	19 Sept →
ancient	3–13	-0.06	3%	19 Sept →
nuke	13–10	-0.05	6%	19 Sept →
dust2	7–13	0.00	16%	19 Sept →
mirage	9–13	-0.05	5%	19 Sept →
inferno	4–13	-0.10	6%	19 Sept →
dust2	9–13	-0.08	12%	19 Sept →
mirage	13–3	-0.09	33%	19 Sept →
dust2	13–8	-0.03	10%	19 Sept →
ancient	16–14	-0.05	6%	18 Sept →
nuke	13–11	-0.07	8%	18 Sept →
cache	13–6	-0.07	15%	18 Sept →
cache	11–13	-0.00	16%	18 Sept →
cache	13–6	0.04	13%	18 Sept →
mirage	10–13	-0.09	6%	18 Sept →
mirage	13–11	-0.04	14%	18 Sept →
nuke	2–13	-0.06	15%	18 Sept →
mirage	11–13	-0.03	8%	17 Sept →
nuke	7–13	-0.00	8%	17 Sept →
nuke	12–16	-0.06	11%	17 Sept →
anubis	13–11	-0.06	2%	17 Sept →
inferno	13–11	-0.03	5%	17 Sept →
nuke	4–13	0.01	6%	17 Sept →
inferno	13–6	-0.04	5%	17 Sept →
ancient	6–13	-0.07	11%	17 Sept →
nuke	9–13	-0.07	16%	16 Sept →
mirage	4–13	-0.06	6%	16 Sept →
ancient	10–13	-0.06	16%	16 Sept →
dust2	9–13	-0.04	10%	16 Sept →
cache	13–9	-0.07	15%	16 Sept →
mirage	13–3	0.07	14%	16 Sept →
ancient	8–13	0.03	10%	15 Sept →
nuke	5–13	-0.07	2%	15 Sept →
inferno	13–9	0.01	11%	15 Sept →
dust2	3–13	0.01	11%	15 Sept →
nuke	13–16	0.01	10%	15 Sept →
ancient	6–1	0.18	6%	15 Sept →
mirage	13–11	-0.05	3%	15 Sept →
dust2	11–13	-0.04	7%	15 Sept →
inferno	8–13	-0.06	6%	15 Sept →
mirage	13–9	0.01	14%	15 Sept →
nuke	13–6	-0.02	2%	14 Sept →
cache	13–9	0.02	8%	14 Sept →
dust2	8–13	-0.04	6%	14 Sept →
nuke	13–5	0.02	10%	14 Sept →
dust2	13–8	-0.06	10%	14 Sept →
inferno	9–13	-0.11	16%	14 Sept →
anubis	5–13	-0.06	14%	14 Sept →
dust2	6–13	-0.09	16%	14 Sept →
ancient	13–8	-0.08	12%	14 Sept →
inferno	14–16	-0.07	10%	13 Sept →
mirage	13–6	0.05	9%	13 Sept →
mirage	8–13	-0.05	5%	13 Sept →
nuke	8–13	-0.01	9%	13 Sept →
inferno	8–13	-0.10	9%	13 Sept →
ancient	13–16	-0.02	11%	13 Sept →
mirage	10–13	-0.13	3%	13 Sept →
anubis	5–13	-0.11	4%	13 Sept →
dust2	7–13	-0.06	2%	13 Sept →
mirage	4–13	-0.12	10%	13 Sept →
inferno	10–13	-0.11	16%	13 Sept →
office	7–0	-0.10	11%	13 Sept →
mirage	9–13	-0.10	13%	13 Sept →
dust2	10–13	0.02	9%	12 Sept →
mirage	3–6	-0.02	3%	12 Sept →
dust2	13–7	0.11	7%	12 Sept →
dust2	11–13	0.04	15%	12 Sept →
mirage	2–13	-0.01	5%	12 Sept →
mirage	5–13	0.02	10%	12 Sept →
nuke	6–13	-0.13	0%	12 Sept →
ancient	4–13	-0.07	0%	12 Sept →
nuke	13–10	-0.07	12%	12 Sept →
nuke	13–4	-0.02	7%	12 Sept →
mirage	11–13	-0.08	12%	12 Sept →
cache	3–13	-0.08	33%	11 Sept →
inferno	2–13	-0.08	6%	11 Sept →
anubis	6–13	-0.07	18%	11 Sept →
nuke	4–13	-0.12	15%	11 Sept →
mirage	2–13	-0.10	16%	11 Sept →
cache	13–7	-0.01	8%	11 Sept →
mirage	1–13	-0.09	18%	11 Sept →
nuke	8–13	-0.05	24%	10 Sept →
mirage	13–4	-0.05	3%	10 Sept →
dust2	1–13	-0.11	5%	10 Sept →
inferno	10–13	-0.08	5%	10 Sept →