miina harava

miina harava — CS2 Stats

NR76561198215352097[U:1:255086369]Steam profile ↗✓ No bans

2,151Tracked matches47%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating19,875Top 50% of 213,399 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#88688 of 260019 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,151 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,875 -125 19 Nov – 1 Nov · 37 days played
18,89823,749peak 23,74919 Nov1 Nov
Faceit ELO: 1,803 +0 19 Sept – 23 Sept · 2 observations
1,8031,803peak 1,80319 Sept23 Sept
24,066Peak Premier in tracked matches
1,803Highest Faceit ELO seen on CSDB
56Days played since 2025-11-19

Premier CS Rating

  • 3,874 below peak (23,749)
  • -238 over 30 days · steady
  • Next: Pink band at 20,000 — 125 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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

CSDB.GGmiina haravaPREMIER19,875 · Purple bandPEAK ELO1,803csdb.gg/stats

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Performance scores

Aim69
Positioning61
Utility54

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateLLLLLLLWWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.7pp headshot accuracy · +22ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 671ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 587ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 576ms

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 (+2.4 against its own average).

Aim6.9
Utility5.4
Positioning6.1
Opening Duels1.1
Clutch2.2

Effective flashes

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

iM

Plays most like iM 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 561ms 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

Aim6.9
Positioning6.1
Utility5.4
Mechanics5.6
Opening Duels2.3
Win Impact3.9

Composite 5.6/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time553ms−86ms
first ⅓ avg 639ms → last ⅓ avg 553ms
Headshot accuracy22.5%−0.8%
first ⅓ avg 23.4% → last ⅓ avg 22.5%

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

0.17Best match rating · 13–7 · nuke, 30 Aug →
43%Best headshot accuracy · 13–6 · cache, 7 May →
367msFastest reaction time · 11–13 · anubis, 1 Oct →
13–1Biggest win · mirage, 2 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L7Current streak
13–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 75% over 8anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%0.00
ancientB2412–1250%-0.00
infernoA148–657%0.01
cacheC94–544%0.04
dust2S86–275%-0.00
nukeB84–450%0.04
anubisD50–50%-0.00
vertigo—30–30%-0.00
overpass—21–150%-0.00
train—21–150%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

892Matches
51%Win rate
1.13Avg K/D
78.6ADR
50%Headshot %

Clutches & streaks

31%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage23945%1.0516.1
Inferno13155%1.1816.6
Ancient9250%1.0115.4
Vertigo8260%1.2017.9
Nuke3453%0.9915.3
Train2450%0.9413.8
Anubis2433%0.8613.5
Overpass1759%1.0914.5

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.

22.4%Headshot accuracy
30.5%Accuracy (enemy spotted)
35.0%Spray accuracy
75.0%Counter-strafing
9.0°Preaim
561msReaction time
38.2%T opening success
39.9%CT opening success
0.70Enemies flashed / flash
7.7%Flash assists
9.52HE damage / grenade
7.66Flashes / 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.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.2022% — below the 40% mark we flag

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0318%30 Oct →
vertigo3–130.0129%30 Oct →
vertigo7–130.0231%24 Oct →
dust24–13-0.1213%24 Oct →
ancient7–130.0715%22 Oct →
inferno11–13-0.0214%20 Oct →
anubis7–13-0.0516%15 Oct →
dust213–100.0335%14 Oct →
dust216–130.0516%14 Oct →
inferno13–5-0.0417%6 Oct →
nuke6–130.0322%6 Oct →
mirage13–90.0017%2 Oct →
mirage13–11-0.0414%2 Oct →
anubis11–13-0.0128%1 Oct →
inferno16–140.0331%30 Sept →
anubis8–130.0415%23 Sept →
cache7–130.0320%18 Sept →
ancient13–80.0432%18 Sept →
anubis8–130.0130%14 Sept →
ancient11–13-0.0413%13 Sept →
mirage13–110.0221%13 Sept →
ancient13–11-0.0121%13 Sept →
mirage13–40.0215%13 Sept →
ancient13–30.0430%13 Sept →
ancient0–13-0.0820%11 Sept →
mirage6–130.0218%10 Sept →
inferno3–13-0.0124%10 Sept →
mirage13–70.0141%2 Sept →
nuke13–100.0323%2 Sept →
nuke13–70.1736%30 Aug →
inferno13–110.0324%28 Aug →
dust213–20.0428%28 Aug →
inferno9–13-0.0021%24 Aug →
cache13–40.0418%12 Aug →
ancient10–130.0222%7 Aug →
mirage14–160.0115%25 Jul →
nuke7–130.0418%25 Jul →
ancient13–90.0625%25 Jul →
ancient8–130.0220%15 Jul →
mirage6–13-0.0414%15 Jul →
cache5–13-0.0341%22 May →
cache13–60.1243%7 May →
cache5–13-0.0415%7 May →
cache13–80.0527%7 May →
cache12–120.0327%5 May →
cache2–130.0223%29 Apr →
cache12–20.1014%29 Apr →
ancient13–110.0025%18 Apr →
mirage11–13-0.0518%22 Mar →
inferno5–13-0.0337%15 Mar →
mirage16–140.0414%12 Mar →
mirage6–13-0.0323%22 Feb →
ancient9–13-0.0118%14 Feb →
inferno13–8-0.0119%12 Feb →
mirage13–100.0616%10 Feb →
inferno13–11-0.0115%7 Feb →
ancient3–13-0.0817%7 Feb →
mirage8–13-0.0121%7 Feb →
ancient8–13-0.0121%4 Feb →
inferno6–130.0121%4 Feb →
mirage9–13-0.0216%4 Feb →
ancient2–13-0.0723%4 Feb →
mirage9–130.0029%4 Feb →
inferno13–80.0429%3 Feb →
mirage10–130.0319%3 Feb →
mirage6–13-0.0227%3 Feb →
ancient8–13-0.068%2 Feb →
mirage13–1-0.0122%2 Feb →
overpass13–9-0.0226%2 Feb →
ancient13–80.1014%1 Feb →
anubis8–130.0120%1 Feb →
nuke8–13-0.0630%1 Feb →
mirage13–50.0841%29 Jan →
ancient11–13-0.0527%28 Jan →
inferno13–90.0021%25 Jan →
ancient16–130.0027%25 Jan →
mirage13–90.017%24 Jan →
inferno7–130.0115%13 Jan →
dust28–13-0.0829%21 Dec →
nuke14–160.0119%18 Dec →
mirage11–13-0.0621%17 Dec →
ancient13–6-0.0518%17 Dec →
ancient13–10-0.0436%17 Dec →
train13–4-0.0221%17 Dec →
dust213–60.0232%17 Dec →
dust213–110.0426%16 Dec →
ancient13–11-0.0123%15 Dec →
nuke13–70.0928%15 Dec →
overpass7–130.0222%15 Dec →
mirage16–140.0023%15 Dec →
vertigo11–13-0.0527%5 Dec →
inferno13–30.1016%5 Dec →
dust213–5-0.0218%5 Dec →
train7–13-0.0933%2 Dec →
mirage13–11-0.0114%2 Dec →
nuke13–11-0.0321%2 Dec →
ancient13–70.0519%1 Dec →
ancient13–50.0228%23 Nov →
ancient11–13-0.0314%19 Nov →
mirage13–70.0635%19 Nov →

Match data via Leetify.

Recent teammates

Milestones

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

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