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— CS2 Stats

MO76561198355911923[U:1:395646195]Steam profile ↗✓ No bans

315Tracked matches48%Win rate2022Tracked since
2,356Hours in CS59Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating21,004Top 50% of 175,286 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#60986 of 221357 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

−178Premier CS Rating · 21,182 → 21,004
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 66 days played since 17 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,004 +2,533 19 Mar17 Sept · 23 days played
17,69122,495peak 22,49519 Mar17 Sept
22,495Peak Premier in tracked matches
66Days played since 2026-02-17

Premier CS Rating

  • 1,491 below peak (22,495)
  • Next: Red band at 25,000 3,996 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. 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=35,202), 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 playerPink band medianRed band medianvs Red band
Headshot rate44.4%47.0%49.2%4.8% short
Shot accuracy4.9%13.0%13.4%8.4% short
Kill/death ratio1.201.081.12above
Match win rate45.1%46.7%48.5%3.4% short

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

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

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CSDB.GGPREMIER21,004 · Pink bandcsdb.gg/stats

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Performance scores

Aim63
Positioning59
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateLWWLWWLLLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.9pp headshot accuracy · −91ms 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 531ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 531ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 577ms

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 PlayerPositioning stands above the rest of this profile (+2.8 against its own average).

Aim6.3
Utility3.3
Positioning5.9
Opening Duels3.2
Clutch0.0

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 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 570ms 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

Aim6.3
Positioning5.9
Utility3.3
Mechanics4.9
Opening Duels2.9
Win Impact4.4

Composite 5.1/10 (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 rating0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time568ms−30ms
first ⅓ avg 598ms → last ⅓ avg 568ms
Headshot accuracy18.3%−0.9%
first ⅓ avg 19.2% → last ⅓ avg 18.3%

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

0.20Best match rating · 13–4 · train, 22 Jun
33%Best headshot accuracy · 13–3 · dust2, 18 Jul
398msFastest reaction time · 4–13 · anubis, 1 Jun
13–2Biggest win · mirage, 24 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
35In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 64% over 11nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B43212249%0.02
mirageA1810856%0.01
ancientA117464%0.01
cacheB105550%0.05
nukeD82625%0.01
infernoC52340%0.02
train31233%0.11
anubis1010%-0.03
overpass1010%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,719Lifetime kills
1.20K/D · Top 50% of Pink band
2,614Matches
45.1%Match win rate
44.4%Headshot %
4.9%Shot accuracy
6,530MVPs
941Hours (in match)
3,491Bombs planted
797Bombs defused

Most-used weapons

AK-4711,440
AWP5,127
SSG 082,904
FAMAS1,206
P901,184

Lifetime map wins

12,071dust2
2,324inferno
1,902nuke
723train
504vertigo
207office
24italy
17ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1Matches
0%Win rate
1.22Avg K/D
94.0ADR
59%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

17.8%Headshot accuracy
31.2%Accuracy (enemy spotted)
34.7%Spray accuracy
72.3%Counter-strafing
8.2°Preaim
570msReaction time
38.4%T opening success
45.1%CT opening success
0.54Enemies flashed / flash
6.0%Flash assists
5.71HE damage / grenade
6.64Flashes / 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 38.3519% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0321%17 Sept
dust213–70.0820%14 Sept
mirage13–11-0.0715%9 Sept
inferno7–130.0315%7 Sept
inferno13–7-0.0217%7 Sept
dust213–30.0826%5 Sept
dust28–130.0722%1 Sept
dust210–13-0.0522%31 Aug
dust28–13-0.0912%30 Aug
ancient11–13-0.0115%29 Aug
nuke11–130.0010%26 Aug
dust29–130.0822%9 Aug
inferno12–120.0313%8 Aug
dust28–13-0.0711%8 Aug
cache13–100.0326%8 Aug
mirage11–130.0111%6 Aug
dust213–10-0.0715%6 Aug
ancient6–13-0.0124%6 Aug
dust25–130.0226%2 Aug
dust213–7-0.049%29 Jul
ancient13–9-0.0116%29 Jul
ancient16–130.0131%28 Jul
nuke13–90.0118%21 Jul
ancient13–70.0821%21 Jul
dust213–80.0520%21 Jul
dust29–130.0729%20 Jul
dust213–3-0.0220%20 Jul
dust28–13-0.057%20 Jul
mirage13–3-0.0418%20 Jul
dust20–13-0.030%18 Jul
dust213–3-0.0533%18 Jul
dust29–13-0.0119%17 Jul
cache7–130.0323%17 Jul
dust29–13-0.0318%17 Jul
ancient13–80.0317%17 Jul
dust213–60.0216%17 Jul
dust213–60.1223%16 Jul
dust213–80.0129%15 Jul
mirage13–110.0418%14 Jul
inferno2–13-0.020%13 Jul
cache7–130.0111%11 Jul
cache6–130.0726%10 Jul
cache13–6-0.0216%9 Jul
inferno13–60.0918%9 Jul
mirage13–20.0121%24 Jun
mirage7–13-0.0414%24 Jun
dust210–13-0.0520%24 Jun
dust213–100.0713%23 Jun
nuke13–50.1114%22 Jun
mirage4–130.0814%22 Jun
mirage13–40.0829%22 Jun
train13–40.2015%22 Jun
nuke4–130.0617%19 Jun
dust213–80.0923%10 Jun
dust213–8-0.0511%1 Jun
dust213–5-0.0123%1 Jun
ancient13–70.0524%1 Jun
anubis4–13-0.0321%1 Jun
dust216–130.0415%31 May
dust213–8-0.0215%30 May
mirage6–13-0.0719%30 May
mirage6–13-0.0313%30 May
train10–130.1317%25 May
cache13–60.1933%24 May
dust213–80.1424%21 May
dust210–130.0328%19 May
ancient4–13-0.1210%19 May
dust213–50.1925%18 May
dust212–120.1218%17 May
mirage9–130.0424%14 May
cache13–40.0719%12 May
dust29–130.1219%8 May
cache12–120.0023%2 May
cache8–130.0316%1 May
dust25–13-0.0213%30 Apr
cache11–20.0518%29 Apr
overpass11–130.0430%27 Apr
mirage9–130.0312%26 Apr
mirage6–13-0.0116%24 Apr
dust28–13-0.0415%22 Apr
nuke5–13-0.0711%16 Apr
ancient13–100.0318%15 Apr
nuke6–130.0015%15 Apr
ancient4–130.0333%15 Apr
dust28–130.0320%14 Apr
mirage13–9-0.0421%13 Apr
dust213–60.0421%13 Apr
nuke12–120.0818%13 Apr
ancient8–00.0427%12 Apr
train9–13-0.0225%12 Apr
dust213–80.1017%7 Apr
dust213–60.1011%2 Apr
mirage13–70.0828%22 Mar
nuke5–13-0.1010%19 Mar
dust212–120.0215%6 Mar
mirage13–110.0328%5 Mar
mirage13–50.0819%5 Mar
dust29–130.0113%26 Feb
mirage13–80.0613%18 Feb
dust211–130.0723%17 Feb

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 →