Ꞵo𝕝𝕝í𝐭𝖈𝗵 ♛ — CS2 Stats

76561199489398540[U:1:1529132812]Steam profile ↗✓ No bans

1,410Tracked matches33%Win rate2023Tracked since

CSDB Rating4.8 DevelopingPositional Player

Premier CS Rating14,560Blue band · top ~30.7% of ranked players (population est.)

CSDB Leaderboard#153873 of 260020 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 14,560 +1,437 6 Sept – 4 Nov · 30 days played

Faceit ELO: 816 +0 6 Sept – 7 Sept · 2 observations

18,653Peak Premier in tracked matches

816Highest Faceit ELO seen on CSDB

28Days played since 2026-09-06

Premier CS Rating

3,847 below peak (18,407)
+1,328 over 30 days · improving
Next: Purple band at 15,000 — 440 to go
Reached: Purple band · Blue band · Light Blue band
Blue band first seen 2026-09-06
Light Blue band first seen 2026-09-06

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.

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

Aim64

Positioning60

Utility45

0–100 skill scores via Leetify.

Recent form

COLD52–46–2Last 10052%Win rateWLLLLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · −19ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 15%
Avg reaction 533ms

Last 10

3–7 · 30% win rate
Avg rating -0.02
Avg headshot accuracy 15%
Avg reaction 556ms

Last 20

7–13 · 35% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 565ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim6.4

Utility4.5

Positioning6.0

Opening Duels3.2

Clutch2.6

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 iM 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 557ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.4

Positioning6.0

Utility4.5

Mechanics5.0

Opening Duels5.5

Win Impact0.0

Composite 4.8/10 (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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time564ms+3ms

first ⅓ avg 562ms → last ⅓ avg 564ms

Headshot accuracy15.0%+1.3%

first ⅓ avg 13.7% → last ⅓ avg 15.0%

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

0.15Best match rating · 13–1 · nuke, 13 Oct →

32%Best headshot accuracy · 13–9 · anubis, 25 Oct →

414msFastest reaction time · 7–13 · inferno, 22 Oct →

13–1Biggest win · nuke, 13 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

11–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 79% over 14nukeWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	24	14–10	58%	0.02
ancient	C	16	6–10	38%	0.01
inferno	B	15	7–8	47%	-0.01
anubis	S	14	11–3	79%	0.02
mirage	B	13	6–7	46%	-0.00
nuke	D	10	3–7	30%	0.02
cache	A	8	5–3	63%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

64Matches

48%Win rate

0.94Avg K/D

76.3ADR

38%Headshot %

Clutches & streaks

33%1v1 clutch win

19%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	14	64%	0.95	14.0
Mirage	12	25%	0.87	13.8
Inferno	11	64%	1.07	15.0
Dust2	10	70%	1.00	12.4
Anubis	8	38%	0.92	13.6
Nuke	5	20%	0.75	12.2
Cache	3	33%	0.95	12.3
Vertigo	1	0%	0.77	10.0

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.

15.3%Headshot accuracy

33.5%Accuracy (enemy spotted)

37.6%Spray accuracy

72.4%Counter-strafing

9.2°Preaim

557msReaction time

61.2%T opening success

42.8%CT opening success

0.51Enemies flashed / flash

1.1%Flash assists

11.74HE damage / grenade

3.75Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7523 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	16–12	0.01	15%	4 Nov →
mirage	5–13	-0.07	13%	4 Nov →
ancient	8–13	-0.01	15%	31 Oct →
inferno	11–13	-0.05	18%	30 Oct →
ancient	5–13	-0.03	15%	30 Oct →
anubis	11–13	-0.04	18%	30 Oct →
cache	14–16	-0.01	12%	29 Oct →
inferno	8–13	-0.05	12%	29 Oct →
dust2	13–9	-0.00	19%	29 Oct →
ancient	13–10	0.04	11%	26 Oct →
dust2	4–13	-0.02	12%	26 Oct →
anubis	5–13	0.04	13%	26 Oct →
dust2	7–13	-0.06	24%	26 Oct →
anubis	13–9	-0.00	32%	25 Oct →
anubis	13–9	-0.02	27%	25 Oct →
dust2	10–13	0.00	13%	25 Oct →
mirage	10–13	-0.05	14%	24 Oct →
dust2	13–11	-0.01	15%	24 Oct →
dust2	8–13	0.05	20%	24 Oct →
cache	13–7	-0.05	11%	24 Oct →
ancient	13–11	-0.04	12%	24 Oct →
nuke	8–13	0.00	11%	23 Oct →
mirage	13–9	0.02	9%	22 Oct →
inferno	3–13	-0.02	11%	22 Oct →
dust2	16–14	0.02	8%	22 Oct →
ancient	4–13	0.04	12%	22 Oct →
ancient	9–13	-0.01	11%	22 Oct →
inferno	7–13	-0.05	15%	22 Oct →
mirage	3–13	-0.05	5%	21 Oct →
inferno	10–13	0.01	31%	21 Oct →
cache	13–9	0.11	8%	21 Oct →
dust2	13–9	0.06	23%	21 Oct →
nuke	5–13	-0.01	10%	21 Oct →
ancient	15–15	0.02	7%	21 Oct →
cache	13–10	-0.01	11%	20 Oct →
ancient	16–13	-0.01	14%	20 Oct →
ancient	13–9	0.02	12%	20 Oct →
ancient	13–4	0.08	4%	20 Oct →
ancient	11–13	0.05	12%	20 Oct →
mirage	4–13	-0.02	13%	20 Oct →
dust2	13–9	0.04	13%	20 Oct →
anubis	13–4	0.02	6%	19 Oct →
dust2	9–13	-0.07	11%	19 Oct →
inferno	13–5	0.00	11%	19 Oct →
dust2	13–10	0.01	15%	19 Oct →
cache	13–5	0.06	13%	19 Oct →
nuke	11–13	0.01	17%	19 Oct →
mirage	11–13	0.05	18%	18 Oct →
anubis	13–10	0.03	6%	18 Oct →
cache	13–8	-0.06	15%	18 Oct →
mirage	16–13	0.00	17%	18 Oct →
inferno	13–5	0.04	15%	18 Oct →
inferno	13–8	0.02	9%	18 Oct →
dust2	13–7	0.05	23%	18 Oct →
ancient	11–13	0.02	9%	18 Oct →
inferno	13–11	-0.04	30%	18 Oct →
anubis	13–6	0.10	5%	18 Oct →
anubis	13–6	0.02	13%	17 Oct →
dust2	11–13	-0.04	13%	17 Oct →
inferno	13–6	0.06	15%	17 Oct →
nuke	11–13	0.09	9%	16 Oct →
dust2	13–11	0.03	13%	16 Oct →
nuke	13–6	0.12	19%	16 Oct →
ancient	13–9	-0.03	30%	16 Oct →
anubis	13–11	0.06	23%	14 Oct →
cache	9–13	-0.03	12%	13 Oct →
dust2	3–13	-0.03	11%	13 Oct →
nuke	13–1	0.15	15%	13 Oct →
nuke	13–11	0.01	10%	12 Oct →
anubis	16–14	0.04	15%	12 Oct →
dust2	7–13	-0.00	11%	12 Oct →
inferno	15–15	-0.06	8%	11 Oct →
inferno	13–7	-0.04	10%	11 Oct →
inferno	13–8	0.07	18%	11 Oct →
mirage	13–6	0.08	22%	11 Oct →
mirage	3–13	-0.03	11%	11 Oct →
anubis	7–13	-0.07	14%	11 Oct →
mirage	7–13	-0.00	22%	11 Oct →
mirage	13–9	0.01	17%	7 Oct →
inferno	10–13	-0.02	21%	6 Oct →
mirage	13–9	-0.00	15%	5 Oct →
dust2	13–9	0.06	13%	5 Oct →
anubis	13–11	0.04	15%	5 Oct →
dust2	13–7	-0.02	16%	29 Sept →
anubis	13–8	0.01	9%	29 Sept →
mirage	13–11	0.03	16%	29 Sept →
cache	13–16	-0.10	11%	27 Sept →
nuke	4–13	-0.11	0%	27 Sept →
dust2	11–13	0.06	8%	25 Sept →
dust2	13–11	0.02	22%	25 Sept →
dust2	13–2	0.01	12%	20 Sept →
dust2	13–4	0.07	17%	20 Sept →
dust2	13–8	0.10	13%	20 Sept →
ancient	5–13	0.00	17%	19 Sept →
inferno	8–13	0.04	14%	19 Sept →
nuke	14–16	-0.02	18%	18 Sept →
nuke	7–13	-0.04	15%	18 Sept →
ancient	0–13	-0.06	13%	18 Sept →
dust2	7–13	0.12	14%	18 Sept →
ancient	6–13	0.03	3%	18 Sept →