m_INI ♡

m_INI ♡ — CS2 Stats

SE76561198069801481[U:1:109535753]Steam profile ↗✓ No bans

1,998Tracked matches54%Win rate2022Tracked since
2,342Hours in CS
CSDB Rating4.8 DevelopingSupport
Premier CS Rating18,077Purple band · top ~16.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 18,077 +1,536 13 Aug – 2 Oct · 22 days played
12,45019,999peak 19,99913 Aug2 Oct
19,999Peak Premier in tracked matches
21Days played since 2026-08-13

Premier CS Rating

  • 1,922 below peak (19,999)
  • -1,709 over 30 days · declining
  • Next: Pink band at 20,000 — 1,923 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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

MetricLast 30Previous 30Change
Matches23——
Win rate30%——
K/D0.77——
Headshot %72%——

Measured 7 Sep 2026 → 3 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 Purple band among CSDB-tracked players (n=37,767), 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.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate54.7%44.3%46.9%above
Shot accuracy9.1%11.9%13.0%3.9% short
Kill/death ratio0.991.031.080.09 short
Match win rate43.8%45.2%46.7%2.9% short

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

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

Share this profile

CSDB.GGm_INI ♡PREMIER18,077 · Purple bandcsdb.gg/stats

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

Aim58
Positioning43
Utility48

0–100 skill scores via Leetify.

Recent form

COLD53–42–5Last 10053%Win rateLLLLLWWWLT

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −2.2pp headshot accuracy · −11ms reaction

Win rate 0pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 32%
  • Avg reaction 599ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 609ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 615ms

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 (+1.2 against its own average).

Aim5.8
Utility4.8
Positioning4.3
Opening Duels1.6

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

NiKo

Plays most like NiKo 85% 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. 611ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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
Positioning4.3
Utility4.8
Mechanics3.4
Opening Duels3.3
Win Impact6.3

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time617ms−74ms
first ⅓ avg 692ms → last ⅓ avg 617ms
Headshot accuracy26.7%+1.2%
first ⅓ avg 25.5% → last ⅓ avg 26.7%

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

0.11Best match rating · 13–6 · ancient, 18 Aug →
100%Best headshot accuracy · 0–4 · train, 17 Sept →
359msFastest reaction time · 13–11 · inferno, 27 Aug →
13–1Biggest win · cache, 19 Aug →

Across the last 100 tracked matches.

Highlights

12Longest win streak
L5Current streak
10–4In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 70% over 10mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
anubisA169–756%-0.02
cacheC167–944%-0.02
nukeB158–753%-0.01
infernoA159–660%0.01
ancientA148–657%0.01
mirageD124–833%-0.02
dust2S107–370%-0.00
train—21–150%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,698Lifetime kills
0.99K/D
4,762Matches
43.8%Match win rate
54.7%Headshot % · Top 25% of Purple band
9.1%Shot accuracy
9,102MVPs
2,342Hours (in match)
3,025Bombs planted
977Bombs defused

Most-used weapons

AK-4734,011
AWP7,606
FAMAS2,415
P2501,833
SSG 081,746

Lifetime map wins

6,250dust2
5,419inferno
2,289nuke
1,938vertigo
801train
297cbble
117office
97lake

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.

24.0%Headshot accuracy
29.8%Accuracy (enemy spotted)
33.1%Spray accuracy
65.2%Counter-strafing
8.6°Preaim
611msReaction time
42.8%T opening success
44.0%CT opening success
0.51Enemies flashed / flash
4.4%Flash assists
8.05HE damage / grenade
7.48Flashes / match

Recommended for you

Spend your practice time on Mirage

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0429%2 Oct →
nuke6–13-0.0815%2 Oct →
dust27–130.0930%2 Oct →
anubis8–13-0.0543%2 Oct →
mirage5–13-0.0245%2 Oct →
anubis13–110.0022%2 Oct →
dust213–2-0.0522%2 Oct →
ancient13–20.0018%2 Oct →
nuke7–13-0.0419%2 Oct →
ancient12–12-0.0027%2 Oct →
inferno11–13-0.0024%1 Oct →
ancient15–15-0.0415%1 Oct →
anubis16–14-0.0614%1 Oct →
mirage16–14-0.0320%29 Sept →
nuke3–13-0.0221%26 Sept →
anubis15–150.0221%25 Sept →
mirage6–13-0.0330%24 Sept →
anubis3–13-0.0535%24 Sept →
train0–4-0.05100%17 Sept →
anubis13–10-0.0712%13 Sept →
cache3–9-0.0731%10 Sept →
cache9–13-0.054%8 Sept →
anubis13–80.0024%31 Aug →
dust213–8-0.0719%31 Aug →
cache13–7-0.0438%31 Aug →
inferno13–7-0.0233%31 Aug →
nuke16–14-0.0524%30 Aug →
inferno13–110.0729%30 Aug →
cache15–15-0.0322%30 Aug →
dust213–8-0.0512%30 Aug →
mirage13–11-0.0435%30 Aug →
cache12–16-0.0820%30 Aug →
nuke13–6-0.0128%30 Aug →
dust213–3-0.0029%30 Aug →
inferno13–10-0.0025%30 Aug →
ancient9–13-0.0423%29 Aug →
mirage16–130.0329%29 Aug →
cache13–10-0.0215%29 Aug →
nuke13–100.0435%29 Aug →
dust210–130.0532%29 Aug →
inferno13–70.0317%29 Aug →
mirage9–13-0.0420%29 Aug →
cache10–130.0328%29 Aug →
inferno5–130.0235%28 Aug →
cache13–7-0.0317%28 Aug →
ancient13–80.0217%28 Aug →
cache5–13-0.0122%28 Aug →
mirage10–130.0425%28 Aug →
cache7–13-0.0624%27 Aug →
anubis13–50.0125%27 Aug →
ancient16–140.0415%27 Aug →
inferno13–110.0335%27 Aug →
nuke13–7-0.0118%27 Aug →
ancient13–60.0316%27 Aug →
cache13–4-0.0210%27 Aug →
dust216–130.0124%27 Aug →
ancient13–100.0220%27 Aug →
inferno13–9-0.0034%27 Aug →
inferno13–110.0618%27 Aug →
dust213–50.0518%27 Aug →
anubis13–30.0419%27 Aug →
cache15–150.0115%26 Aug →
inferno13–90.0521%26 Aug →
mirage13–6-0.0518%26 Aug →
inferno11–13-0.0312%21 Aug →
anubis10–13-0.0624%21 Aug →
inferno6–130.0520%21 Aug →
mirage8–130.0321%21 Aug →
inferno10–13-0.0227%21 Aug →
cache13–10.0533%19 Aug →
ancient7–130.0115%19 Aug →
nuke6–13-0.0125%19 Aug →
mirage2–13-0.0548%19 Aug →
ancient0–4-0.040%19 Aug →
anubis8–13-0.0717%19 Aug →
dust24–13-0.0534%19 Aug →
anubis14–160.0217%18 Aug →
nuke10–130.0124%18 Aug →
ancient13–160.0126%18 Aug →
nuke5–13-0.0318%18 Aug →
anubis13–50.0422%18 Aug →
inferno11–13-0.0033%18 Aug →
ancient13–70.0229%18 Aug →
mirage9–13-0.0433%18 Aug →
inferno13–8-0.0117%18 Aug →
dust213–40.0124%18 Aug →
ancient13–4-0.0226%18 Aug →
anubis13–8-0.0121%18 Aug →
nuke13–6-0.0418%18 Aug →
ancient13–60.1129%18 Aug →
nuke13–10.0459%18 Aug →
train13–80.0543%18 Aug →
anubis13–90.0122%17 Aug →
nuke13–11-0.0619%17 Aug →
cache7–130.0434%17 Aug →
anubis5–13-0.1116%17 Aug →
cache7–00.0613%17 Aug →
cache10–13-0.0819%17 Aug →
nuke13–30.0237%17 Aug →
mirage8–13-0.0122%13 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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