Mives — CS2 Stats

76561198136610830[U:1:176345102]

426Tracked matches50%Win rate2023Tracked since
536Hours in CS13Hrs last 2 wks
CSDB Rating3.3 Learning
Premier CS Rating4,466Grey band · top ~81.1% of ranked players (population est.)
CSDB Leaderboard#34364 of 44632 tracked
Ladder ranks via Leetify

Rating over time

4,466Peak Premier on CSDB
1Days observed since 2026-08-30

Premier CS Rating

  • At peak — 4,466
  • Next: Light Blue band at 5,000 534 to go

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate42.1%37.5%39.7%above
Shot accuracy2.3%4.5%6.7%4.4% short
Kill/death ratio0.710.820.910.20 short
Match win rate42.8%39.1%42.1%meets

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGMivesPREMIER4,466 · Grey bandcsdb.gg/stats

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Performance scores

Aim48
Positioning29
Utility5

0–100 skill scores via Leetify.

Recent form

HOT44524Last 10044%Win rateWWLLLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Aim4.8
Aggression2.0
Utility0.5
Positioning2.9
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 60% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 690ms 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

Aim4.8
Positioning2.9
Utility0.5
Mechanics6.8
Opening Duels0.0
Win Impact5.0

Composite 3.3/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time699ms−56ms
first ⅓ avg 755ms → last ⅓ avg 699ms
Headshot accuracy12.5%−1.5%
first ⅓ avg 14.0% → last ⅓ avg 12.5%

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.

Highlights

0.07Best rating — ancient 5–0
130Biggest win — mirage
5Longest win streak
W2Current streak
46In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 63% over 8ancientWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
infernoA2213959%-0.05
ancientD2161529%-0.06
nukeD1551033%-0.05
anubisD93633%-0.04
cacheA85363%-0.02
overpassA85363%-0.05
mirageA85363%-0.03
train2020%-0.04
vertigo21150%-0.09
office2020%-0.06
dust221150%-0.05
warden1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,225Lifetime kills
0.71K/D
914Matches
42.8%Match win rate · Top 25% of Grey band
42.1%Headshot % · Top 50% of Grey band
2.3%Shot accuracy
1,023MVPs
355Hours (in match)
805Bombs planted
83Bombs defused

Most-used weapons

Lifetime map wins

1,278inferno
893nuke
540dust2
435train
432vertigo
367office
108italy
16cbble

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.

12.5%Headshot accuracy
34.2%Accuracy (enemy spotted)
35.6%Spray accuracy
80.6%Counter-strafing
10.8°Preaim
690msReaction time
24.2%T opening success
27.9%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
5.39HE damage / grenade
0.08Flashes / 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. 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 12.4992% — below the 15% mark we flag

    Aim Training
  2. 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 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 24.2122% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0217%29 Aug
inferno13–7-0.0113%29 Aug
ancient4–13-0.126%29 Aug
anubis9–13-0.0116%22 Aug
ancient7–13-0.0612%22 Aug
ancient5–00.076%21 Aug
inferno13–9-0.0615%21 Aug
anubis13–90.0112%21 Aug
inferno8–1-0.0331%19 Aug
ancient13–6-0.0710%18 Aug
anubis7–13-0.0415%18 Aug
inferno13–3-0.0728%18 Aug
inferno7–13-0.048%17 Aug
ancient4–13-0.0710%17 Aug
inferno13–3-0.0816%17 Aug
anubis6–13-0.0524%15 Aug
cache8–13-0.0410%15 Aug
ancient4–13-0.1013%15 Aug
nuke13–100.0211%8 Aug
inferno11–13-0.0119%7 Aug
overpass13–9-0.0410%5 Aug
inferno4–13-0.0524%21 Jul
inferno11–13-0.083%21 Jul
nuke4–13-0.068%17 Jul
nuke13–8-0.028%17 Jul
train9–13-0.078%17 Jul
mirage13–5-0.048%14 Jul
ancient13–4-0.022%9 Jul
ancient10–13-0.085%9 Jul
cache13–11-0.0517%9 Jul
vertigo4–13-0.156%7 Jul
ancient9–13-0.0410%6 Jul
nuke13–16-0.0514%6 Jul
ancient15–15-0.0511%1 Jul
nuke10–13-0.0620%1 Jul
inferno4–13-0.1217%29 Jun
anubis13–5-0.069%29 Jun
overpass13–9-0.1015%29 Jun
ancient7–13-0.1010%29 Jun
nuke10–13-0.0818%20 Jun
overpass9–13-0.0325%20 Jun
office8–13-0.068%19 Jun
warden10–13-0.0211%19 Jun
anubis8–13-0.0311%19 Jun
nuke7–13-0.0716%19 Jun
mirage13–00.0225%18 Jun
overpass11–13-0.0713%18 Jun
inferno9–13-0.0614%18 Jun
nuke6–13-0.046%15 Jun
inferno13–9-0.0616%15 Jun
nuke5–13-0.068%12 Jun
anubis13–6-0.0512%12 Jun
inferno5–13-0.1214%11 Jun
ancient3–13-0.128%11 Jun
ancient13–11-0.0214%8 Jun
anubis9–13-0.0712%8 Jun
nuke13–10-0.0411%8 Jun
cache13–40.0214%5 Jun
cache13–5-0.0621%5 Jun
ancient15–15-0.0416%3 Jun
nuke8–130.008%31 May
nuke13–4-0.0616%31 May
ancient6–13-0.0615%31 May
vertigo13–8-0.0421%31 May
cache5–13-0.0813%31 May
inferno13–10-0.036%31 May
mirage11–13-0.098%30 May
ancient13–7-0.042%30 May
overpass13–3-0.0813%30 May
dust28–13-0.079%28 May
inferno3–13-0.0321%28 May
inferno13–3-0.0518%26 May
mirage13–7-0.0313%26 May
nuke10–13-0.0718%26 May
overpass9–13-0.0514%25 May
inferno13–100.019%25 May
mirage15–15-0.0618%24 May
mirage11–13-0.0512%24 May
ancient9–13-0.0512%22 May
mirage13–5-0.0117%21 May
cache13–70.0629%21 May
ancient8–13-0.1011%21 May
nuke6–13-0.0612%20 May
nuke13–2-0.0620%20 May
dust213–9-0.0425%18 May
inferno5–13-0.069%9 May
inferno13–5-0.0317%9 May
cache11–130.0224%7 May
overpass13–80.018%6 May
ancient15–15-0.0411%6 May
ancient0–13-0.110%6 May
ancient13–9-0.027%5 May
inferno13–10-0.0512%5 May
mirage13–110.0111%5 May
inferno13–7-0.0319%4 May
overpass13–2-0.049%3 May
anubis3–13-0.0722%1 May
train2–13-0.029%25 Apr
office10–13-0.0720%21 Apr
inferno13–9-0.0211%20 Apr

Match data via Leetify.

Recent teammates

Milestones

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