My Little Pony 👀 ❌🚫🚾 — CS2 Stats

GL76561199419764542[U:1:1459498814]Steam profile ↗✓ No bans

1,477Tracked matches43%Win rate2023Tracked since

1,588Hours in CS

CSDB Rating3.1 LearningSupport

Premier CS Rating7,151Light Blue band · top ~68.5% of ranked players (population est.)

CSDB Leaderboard#195304 of 257842 tracked

WingmanSilver II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 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: 7,151 +3,585 16 Sept – 26 Oct · 28 days played

9,091Peak Premier in tracked matches

26Days played since 2026-09-16

Premier CS Rating

1,940 below peak (9,091)
+2,817 over 30 days · improving
Next: Blue band at 10,000 — 2,849 to go
Reached: Light Blue band

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

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	243	—	—
Win rate	39%	—	—
K/D	1.08	—	—
Headshot %	25%	—	—

Measured 22 Sep 2026 → 27 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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	Light Blue band median	Blue band median	vs Blue band
Headshot rate	31.6%	39.9%	42.0%	10.4% short
Shot accuracy	2.4%	7.0%	9.6%	7.2% short
Kill/death ratio	0.93	0.92	0.98	0.05 short
Match win rate	47.4%	42.3%	43.8%	above

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

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim25

Positioning47

Utility58

0–100 skill scores via Leetify.

Recent form

COLD51–48–1Last 10051%Win rateLLLLLWLLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · +8ms reaction

Win rate down 30pp 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

0–5 · 0% win rate
Avg rating -0.02
Avg headshot accuracy 7%
Avg reaction 642ms

Last 10

2–8 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 8%
Avg reaction 627ms

Last 20

7–13 · 35% win rate
Avg rating -0.01
Avg headshot accuracy 7%
Avg reaction 623ms

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 against its own average).

Aim2.5

Utility5.8

Positioning4.7

Opening Duels1.0

Strong T-side opener

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 Twistzz 56% 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

CT openings. Opening success drops from 50% on T to 22% on CT — first contacts on the defending side are being lost.

Reaction time. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim2.5

Positioning4.7

Utility5.8

Mechanics2.4

Opening Duels2.5

Win Impact2.8

Composite 3.1/10 (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-0.02−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time616ms+4ms

first ⅓ avg 612ms → last ⅓ avg 616ms

Headshot accuracy7.1%−1.6%

first ⅓ avg 8.8% → last ⅓ avg 7.1%

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

0.12Best match rating · 13–6 · nuke, 7 Oct →

24%Best headshot accuracy · 13–2 · mirage, 25 Sept →

359msFastest reaction time · 1–13 · inferno, 25 Oct →

13–0Biggest win · cache, 6 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L5Current streak

10–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 69% over 16anubisWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	S	16	11–5	69%	-0.01
mirage	C	15	6–9	40%	-0.02
nuke	A	15	9–6	60%	0.00
inferno	C	14	5–9	36%	-0.01
dust2	A	14	8–6	57%	-0.01
anubis	D	12	3–9	25%	0.00
ancient	A	11	7–4	64%	-0.02
rush_001	—	2	1–1	50%	-0.03
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,748Lifetime kills

0.93K/D · Top 50% of Light Blue band

4,698Matches

47.4%Match win rate · Top 25% of Light Blue band

31.6%Headshot %

2.4%Shot accuracy

4,208MVPs

1,588Hours (in match)

3,256Bombs planted

628Bombs defused

Most-used weapons

AK-479,749

M4A4 / M4A1-S8,090

P905,391

MP74,520

Galil AR4,050

AWP3,359

SG 5533,004

AUG2,537

SCAR-201,575

P2501,378

Lifetime map wins

4,512nuke

3,785vertigo

3,528inferno

2,751dust2

1,219train

770cbble

136ar_shoots

115lake

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.

7.3%Headshot accuracy

32.3%Accuracy (enemy spotted)

37.7%Spray accuracy

60.7%Counter-strafing

13.4°Preaim

609msReaction time

49.6%T opening success

21.8%CT opening success

0.58Enemies flashed / flash

3.1%Flash assists

5.97HE damage / grenade

11.82Flashes / 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 13.4396° — 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 7.2771% — below the 15% mark we flag
Aim Training →

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.

25% win rate across 12 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
mirage	9–13	0.01	10%	26 Oct →
nuke	10–13	0.01	8%	26 Oct →
anubis	5–13	0.03	11%	26 Oct →
nuke	1–13	-0.13	4%	26 Oct →
inferno	10–13	-0.01	3%	25 Oct →
dust2	13–2	0.00	5%	25 Oct →
mirage	11–13	-0.05	13%	25 Oct →
inferno	1–13	-0.07	12%	25 Oct →
nuke	8–13	0.06	8%	25 Oct →
ancient	13–10	-0.05	5%	24 Oct →
mirage	13–11	-0.03	11%	24 Oct →
nuke	13–9	0.06	5%	23 Oct →
dust2	6–13	-0.02	5%	22 Oct →
cache	9–13	0.03	7%	22 Oct →
ancient	2–13	-0.05	13%	22 Oct →
cache	6–12	-0.01	4%	22 Oct →
cache	13–8	-0.02	2%	21 Oct →
inferno	13–6	0.00	7%	21 Oct →
dust2	13–2	0.01	6%	21 Oct →
mirage	5–13	-0.02	5%	21 Oct →
cache	13–8	-0.00	15%	21 Oct →
dust2	5–4	-0.09	7%	21 Oct →
dust2	7–13	-0.05	23%	21 Oct →
mirage	11–13	0.00	7%	21 Oct →
ancient	6–1	-0.07	0%	21 Oct →
anubis	13–16	-0.05	3%	20 Oct →
ancient	13–10	0.02	2%	20 Oct →
ancient	13–7	-0.04	4%	20 Oct →
inferno	7–13	-0.04	3%	16 Oct →
cache	13–11	-0.02	8%	14 Oct →
mirage	13–5	-0.01	8%	14 Oct →
dust2	7–13	0.02	8%	12 Oct →
mirage	3–13	-0.09	4%	12 Oct →
inferno	4–13	-0.05	5%	12 Oct →
anubis	13–11	0.11	7%	12 Oct →
ancient	13–8	0.03	10%	12 Oct →
dust2	13–8	-0.05	7%	11 Oct →
anubis	5–13	-0.05	3%	8 Oct →
nuke	13–7	-0.01	9%	7 Oct →
cache	13–10	0.04	6%	7 Oct →
dust2	5–13	-0.09	8%	7 Oct →
nuke	13–6	0.12	8%	7 Oct →
cache	13–5	-0.03	9%	7 Oct →
cache	13–0	0.03	19%	6 Oct →
anubis	8–13	0.07	7%	6 Oct →
rush_001	8–4	-0.01	0%	6 Oct →
rush_001	2–6	-0.05	0%	6 Oct →
ancient	9–0	0.00	13%	6 Oct →
nuke	13–11	0.04	11%	6 Oct →
ancient	13–7	0.02	9%	6 Oct →
mirage	13–8	0.00	5%	5 Oct →
dust2	5–13	-0.06	0%	5 Oct →
inferno	16–14	0.00	6%	4 Oct →
nuke	13–6	0.01	5%	4 Oct →
nuke	10–13	-0.08	11%	4 Oct →
anubis	3–13	-0.05	18%	4 Oct →
cache	16–12	-0.01	7%	3 Oct →
nuke	13–5	0.00	3%	2 Oct →
inferno	5–13	-0.03	7%	2 Oct →
cache	6–13	-0.08	9%	2 Oct →
mirage	13–7	-0.02	9%	2 Oct →
dust2	13–4	0.02	6%	2 Oct →
inferno	7–13	0.04	8%	2 Oct →
inferno	6–13	0.01	7%	2 Oct →
anubis	7–13	-0.04	8%	2 Oct →
mirage	13–7	0.02	1%	30 Sept →
cache	13–6	-0.04	10%	30 Sept →
dust2	13–10	0.11	17%	27 Sept →
cache	2–13	-0.01	12%	27 Sept →
nuke	13–9	-0.05	10%	25 Sept →
inferno	8–13	0.02	16%	25 Sept →
dust2	13–6	0.11	16%	25 Sept →
cache	13–11	0.05	7%	25 Sept →
mirage	13–2	-0.01	24%	25 Sept →
mirage	11–13	-0.00	12%	25 Sept →
cache	13–7	-0.02	1%	25 Sept →
inferno	6–13	-0.05	0%	25 Sept →
nuke	13–5	0.06	6%	25 Sept →
mirage	12–16	-0.05	7%	25 Sept →
vertigo	13–11	0.02	15%	24 Sept →
mirage	2–13	-0.03	9%	24 Sept →
cache	13–11	-0.02	2%	23 Sept →
anubis	13–5	0.05	13%	23 Sept →
nuke	1–13	-0.11	4%	23 Sept →
dust2	13–8	-0.04	13%	23 Sept →
dust2	10–13	-0.08	12%	23 Sept →
cache	8–13	-0.01	9%	22 Sept →
inferno	13–11	-0.02	6%	21 Sept →
inferno	13–5	-0.00	9%	21 Sept →
mirage	15–15	-0.03	6%	21 Sept →
anubis	13–5	0.02	5%	19 Sept →
nuke	13–2	0.04	10%	19 Sept →
nuke	14–16	0.02	2%	19 Sept →
ancient	13–16	-0.02	4%	19 Sept →
anubis	4–13	-0.00	7%	19 Sept →
ancient	6–13	-0.00	8%	19 Sept →
anubis	8–13	0.01	4%	19 Sept →
inferno	13–7	0.01	12%	19 Sept →
anubis	6–13	-0.04	2%	19 Sept →
ancient	4–13	-0.01	11%	19 Sept →