iumi — CS2 Stats

76561198075911878[U:1:115646150]Steam profile ↗✓ No bans

1,665Tracked matches54%Win rate2020Tracked since

CSDB Rating5.3 DevelopingPositional Player

Premier CS Rating22,243Top 50% of 212,379 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)

CSDB Leaderboard#53163 of 259173 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 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: 22,243 -1,248 5 Oct – 31 Oct · 10 days played

23,714Peak Premier in tracked matches

27Days played since 2026-08-30

Premier CS Rating

1,248 below peak (23,491)
-1,248 over 30 days · declining
Next: Red band at 25,000 — 2,757 to go
Reached: Pink band · Purple band · Blue band · Light Blue band

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

Aim58

Positioning58

Utility38

0–100 skill scores via Leetify.

Recent form

COLD48–46–6Last 10048%Win rateLLTLLWLWLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −1.3pp headshot accuracy · +43ms 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

0–4–1 · 0% win rate
Avg rating -0.06
Avg headshot accuracy 11%
Avg reaction 542ms

Last 10

3–6–1 · 30% win rate
Avg rating -0.04
Avg headshot accuracy 12%
Avg reaction 554ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 533ms

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 (+1.6 against its own average).

Aim5.8

Utility3.8

Positioning5.8

Opening Duels3.7

Clutch3.4

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 m0NESY 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

Aim5.8

Positioning5.8

Utility3.8

Mechanics4.1

Opening Duels4.5

Win Impact6.2

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time529ms−1ms

first ⅓ avg 530ms → last ⅓ avg 529ms

Headshot accuracy13.8%+0.3%

first ⅓ avg 13.5% → last ⅓ avg 13.8%

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 · 13–3 · cache, 10 Sept →

30%Best headshot accuracy · 13–9 · mirage, 25 Oct →

406msFastest reaction time · 1–13 · inferno, 23 Oct →

13–1Biggest win · cache, 14 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L2Current streak

8–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 58% over 12infernoWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	45	22–23	49%	-0.01
dust2	B	13	7–6	54%	-0.03
ancient	A	12	7–5	58%	-0.01
mirage	B	11	5–6	45%	-0.01
inferno	D	10	3–7	30%	-0.01
nuke	—	4	2–2	50%	-0.01
anubis	—	3	2–1	67%	0.02
overpass	—	1	0–1	0%	-0.03
vertigo	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

64Matches

52%Win rate

0.88Avg K/D

67.4ADR

35%Headshot %

Clutches & streaks

37%1v1 clutch win

31%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	7	57%	0.77	11.9
Mirage	5	20%	0.86	17.4
Dust2	5	40%	0.69	11.4
Cache	5	60%	0.96	14.4
Nuke	5	80%	0.78	11.2
Ancient	4	25%	0.76	12.3
Train	3	67%	0.86	13.7
Inferno	2	50%	0.94	17.0

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.

13.6%Headshot accuracy

34.4%Accuracy (enemy spotted)

36.1%Spray accuracy

68.6%Counter-strafing

10.5°Preaim

530msReaction time

53.1%T opening success

42.7%CT opening success

0.42Enemies flashed / flash

4.7%Flash assists

7.37HE damage / grenade

3.35Flashes / 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 13.644% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4173 — below the 0.5 mark we flag
Grenade Lineups →

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.

30% win rate across 10 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
dust2	10–13	-0.11	15%	31 Oct →
ancient	5–13	-0.05	16%	31 Oct →
ancient	12–12	-0.05	5%	30 Oct →
nuke	7–13	-0.01	8%	30 Oct →
dust2	2–13	-0.08	8%	30 Oct →
cache	13–7	-0.03	24%	30 Oct →
cache	11–13	-0.07	13%	30 Oct →
cache	13–8	-0.04	8%	30 Oct →
cache	3–13	0.01	17%	30 Oct →
mirage	13–8	0.00	7%	29 Oct →
nuke	16–14	0.01	8%	29 Oct →
dust2	13–7	0.04	12%	29 Oct →
cache	13–3	0.00	11%	29 Oct →
dust2	8–13	-0.03	14%	28 Oct →
mirage	11–13	-0.02	27%	28 Oct →
ancient	13–9	-0.03	8%	28 Oct →
dust2	7–13	-0.05	6%	28 Oct →
anubis	8–13	0.02	16%	28 Oct →
overpass	12–12	-0.03	23%	27 Oct →
cache	13–11	0.02	12%	27 Oct →
mirage	13–8	0.07	15%	27 Oct →
cache	13–11	-0.02	12%	26 Oct →
ancient	13–6	-0.01	10%	26 Oct →
ancient	6–13	0.04	17%	26 Oct →
dust2	13–4	-0.01	10%	26 Oct →
nuke	11–13	-0.02	20%	26 Oct →
mirage	13–9	-0.05	30%	25 Oct →
nuke	13–7	-0.01	5%	25 Oct →
mirage	6–13	0.03	17%	25 Oct →
ancient	13–4	0.00	14%	24 Oct →
mirage	11–13	-0.03	21%	24 Oct →
mirage	13–3	0.07	10%	24 Oct →
ancient	13–5	0.08	17%	24 Oct →
cache	10–13	-0.02	12%	24 Oct →
dust2	13–7	-0.04	22%	24 Oct →
inferno	13–5	0.07	13%	24 Oct →
dust2	13–10	-0.04	13%	24 Oct →
cache	11–1	0.07	15%	24 Oct →
inferno	13–10	-0.02	18%	23 Oct →
cache	4–13	-0.09	12%	23 Oct →
dust2	13–5	0.03	6%	23 Oct →
mirage	8–3	-0.02	14%	23 Oct →
inferno	1–13	-0.01	4%	23 Oct →
mirage	10–13	-0.03	14%	22 Oct →
anubis	13–7	-0.03	15%	22 Oct →
cache	10–13	-0.05	12%	22 Oct →
cache	13–8	0.01	16%	19 Oct →
cache	13–11	0.01	9%	19 Oct →
cache	13–3	-0.00	19%	18 Oct →
cache	8–13	-0.03	20%	18 Oct →
cache	13–4	0.02	19%	18 Oct →
cache	6–13	-0.03	12%	17 Oct →
inferno	2–13	-0.08	21%	17 Oct →
cache	13–11	0.01	12%	16 Oct →
cache	11–13	0.00	10%	16 Oct →
cache	5–13	-0.01	18%	16 Oct →
cache	12–12	-0.00	11%	16 Oct →
cache	3–13	-0.02	13%	16 Oct →
cache	13–6	0.04	13%	14 Oct →
cache	13–1	-0.01	10%	14 Oct →
inferno	3–13	-0.03	11%	14 Oct →
cache	6–13	-0.07	18%	14 Oct →
dust2	13–3	0.02	10%	13 Oct →
inferno	13–6	-0.01	8%	13 Oct →
cache	13–8	-0.03	12%	13 Oct →
cache	9–13	-0.03	16%	12 Oct →
cache	5–13	-0.08	10%	12 Oct →
cache	7–13	-0.02	10%	12 Oct →
cache	3–13	-0.02	15%	11 Oct →
cache	13–7	0.06	10%	11 Oct →
inferno	15–15	0.00	14%	8 Oct →
inferno	9–13	-0.04	9%	8 Oct →
vertigo	4–13	-0.03	8%	8 Oct →
cache	5–13	-0.02	19%	8 Oct →
cache	9–13	-0.05	14%	8 Oct →
cache	14–16	0.01	13%	5 Oct →
cache	5–13	-0.09	9%	5 Oct →
ancient	13–11	-0.01	13%	5 Oct →
dust2	15–15	0.02	10%	5 Oct →
ancient	13–11	-0.02	19%	5 Oct →
cache	8–13	-0.05	14%	5 Oct →
mirage	8–13	-0.10	18%	4 Oct →
cache	13–10	-0.04	18%	4 Oct →
ancient	13–4	-0.02	19%	20 Sept →
inferno	8–13	0.03	10%	20 Sept →
cache	13–11	-0.04	15%	20 Sept →
ancient	2–13	-0.04	14%	20 Sept →
cache	13–9	0.01	6%	11 Sept →
anubis	13–8	0.06	9%	11 Sept →
dust2	13–4	-0.07	11%	11 Sept →
cache	13–3	0.14	27%	10 Sept →
cache	5–13	-0.06	24%	10 Sept →
cache	13–7	0.03	8%	10 Sept →
cache	13–10	0.01	5%	9 Sept →
cache	13–5	0.03	15%	9 Sept →
dust2	5–13	-0.09	23%	9 Sept →
mirage	7–13	-0.07	10%	9 Sept →
ancient	11–13	-0.05	10%	9 Sept →
inferno	12–12	0.01	11%	8 Sept →
cache	8–13	0.02	15%	7 Sept →