-SOLO-

-SOLO- — CS2 Stats

76561198775252431[U:1:814986703]Steam profile ↗✓ No bans

398Tracked matches54%Win rate2025Tracked since
970Hours in CS48Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating11,447Blue band · top ~47.2% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 11,447 → 11,447
+8Tracked matches · now 398
−2.2ppWin rate · 56.0% → 53.8%

Rating over time

Premier CS Rating: 11,447 -2,300 25 Sept – 10 Nov · 6 days played
11,44713,747peak 13,74725 Sept10 Nov
14,069Peak Premier in tracked matches
31Days played since 2026-09-24

Premier CS Rating

  • 2,300 below peak (13,747)
  • -1,184 over 30 days · declining
  • Next: Purple band at 15,000 — 3,553 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-11-09
  • Light Blue band first seen 2026-11-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches31——
Win rate68%——
K/D1.09——
Headshot %45%——

Measured 9 Nov 2026 → 14 Nov 2026; no observation near 14 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate40.5%42.0%44.4%3.9% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio0.890.981.030.15 short
Match win rate48.5%43.8%45.2%above

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

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

Share this profile

CSDB.GG-SOLO-PREMIER11,447 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning48
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY58–35–7Last 10058%Win rateWWLLWTWTLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −2.7pp headshot accuracy · +33ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 695ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 673ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 656ms

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 (+1.8 against its own average).

Aim5.5
Utility4.0
Positioning4.8
Opening Duels0.4
Clutch2.6

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

iM

Plays most like iM 86% 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. 628ms 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

Aim5.5
Positioning4.8
Utility4.0
Mechanics7.0
Opening Duels2.3
Win Impact6.3

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time644ms−37ms
first ⅓ avg 682ms → last ⅓ avg 644ms
Headshot accuracy16.5%−1.3%
first ⅓ avg 17.8% → last ⅓ avg 16.5%

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 · 9–1 · inferno, 18 Oct →
45%Best headshot accuracy · 9–1 · inferno, 18 Oct →
477msFastest reaction time · 4–13 · dust2, 8 Nov →
13–0Biggest win · dust2, 15 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
6–3In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 63% over 35nukeWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A3522–1363%-0.01
mirageA2012–860%-0.01
infernoA1710–759%-0.01
anubisB105–550%-0.02
nukeC73–443%-0.05
ancientA53–260%-0.01
office—42–250%-0.01
cache—10–10%0.01
train—11–0100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,918Lifetime kills
0.89K/D
1,421Matches
48.5%Match win rate · Top 25% of Blue band
40.5%Headshot %
0.0%Shot accuracy
2,708MVPs
486Hours (in match)
2,016Bombs planted
312Bombs defused

Most-used weapons

Lifetime map wins

6,706dust2
1,406inferno
992nuke
238office
148vertigo
103train
3ar_baggage

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

Faceit stats

Combat

49Matches
47%Win rate
0.86Avg K/D
71.8ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust21471%1.1616.9
Mirage1250%0.7410.6
Anubis838%0.7712.4
Inferno757%0.8311.4
Nuke40%0.528.3
Ancient30%0.6212.0
Cache10%0.8319.0

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.

17.1%Headshot accuracy
29.3%Accuracy (enemy spotted)
29.0%Spray accuracy
81.4%Counter-strafing
8.7°Preaim
628msReaction time
43.0%T opening success
35.5%CT opening success
0.52Enemies flashed / flash
4.8%Flash assists
12.68HE damage / grenade
3.94Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9397 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.4551% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0316%12 Nov →
dust213–11-0.0722%11 Nov →
mirage9–13-0.0317%11 Nov →
anubis6–13-0.0818%11 Nov →
inferno9–00.070%9 Nov →
dust212–12-0.0516%9 Nov →
inferno13–50.0219%9 Nov →
mirage12–120.0218%9 Nov →
mirage6–13-0.0722%9 Nov →
ancient13–80.0316%8 Nov →
dust24–13-0.0518%8 Nov →
inferno11–13-0.0341%5 Nov →
nuke6–13-0.0826%5 Nov →
anubis13–3-0.0011%4 Nov →
dust21–13-0.0733%4 Nov →
dust21–11-0.0414%4 Nov →
dust213–40.1216%4 Nov →
dust213–5-0.0418%4 Nov →
dust25–13-0.107%4 Nov →
inferno8–8-0.127%3 Nov →
anubis13–4-0.0119%3 Nov →
inferno9–13-0.0518%3 Nov →
nuke13–9-0.0312%1 Nov →
dust213–7-0.0414%1 Nov →
mirage13–20.057%1 Nov →
office12–12-0.074%31 Oct →
dust213–50.0716%31 Oct →
anubis12–120.019%29 Oct →
mirage13–80.0310%29 Oct →
ancient8–13-0.0218%29 Oct →
dust213–11-0.0315%29 Oct →
inferno8–130.0522%29 Oct →
mirage12–120.0124%29 Oct →
dust213–40.118%29 Oct →
dust213–10-0.0219%28 Oct →
mirage10–13-0.068%28 Oct →
inferno13–70.0113%28 Oct →
office13–8-0.0120%28 Oct →
office13–90.0225%28 Oct →
dust213–50.0419%27 Oct →
anubis13–4-0.0417%27 Oct →
dust213–11-0.0312%25 Oct →
mirage1–9-0.0427%24 Oct →
dust213–10-0.0418%24 Oct →
dust213–110.0420%24 Oct →
dust210–13-0.0523%23 Oct →
nuke3–9-0.180%22 Oct →
anubis8–13-0.0318%22 Oct →
mirage13–100.0120%21 Oct →
mirage11–13-0.0517%21 Oct →
ancient10–130.0111%21 Oct →
inferno13–40.0515%21 Oct →
anubis10–13-0.0320%21 Oct →
dust213–100.0012%21 Oct →
mirage13–80.0616%21 Oct →
nuke9–00.0514%20 Oct →
inferno13–2-0.0113%20 Oct →
mirage13–7-0.0421%20 Oct →
dust213–110.0519%20 Oct →
inferno0–9-0.2138%18 Oct →
inferno9–10.1745%18 Oct →
mirage9–13-0.059%18 Oct →
inferno13–11-0.0218%18 Oct →
dust21–13-0.1127%16 Oct →
mirage13–100.0225%16 Oct →
inferno13–7-0.0427%15 Oct →
anubis13–7-0.0318%15 Oct →
dust213–00.1331%15 Oct →
dust28–13-0.037%15 Oct →
mirage13–9-0.0223%14 Oct →
dust213–8-0.0116%14 Oct →
anubis13–50.0711%14 Oct →
dust213–60.0521%14 Oct →
dust27–13-0.0320%14 Oct →
nuke13–4-0.0025%14 Oct →
anubis2–13-0.1020%13 Oct →
dust28–13-0.0323%13 Oct →
inferno9–13-0.0313%8 Oct →
cache8–130.0114%8 Oct →
dust213–2-0.0415%7 Oct →
inferno13–7-0.0518%7 Oct →
mirage13–6-0.0219%7 Oct →
office12–12-0.0023%7 Oct →
train13–7-0.0120%7 Oct →
dust25–13-0.069%2 Oct →
dust27–13-0.0713%2 Oct →
dust211–13-0.0243%1 Oct →
nuke7–13-0.117%1 Oct →
mirage13–9-0.0319%30 Sept →
mirage13–40.0126%30 Sept →
mirage13–9-0.0510%30 Sept →
dust213–90.1116%29 Sept →
mirage13–30.0512%29 Sept →
inferno6–13-0.039%25 Sept →
nuke5–130.0310%25 Sept →
dust27–3-0.0522%25 Sept →
ancient13–4-0.0214%25 Sept →
ancient13–8-0.0521%25 Sept →
inferno9–30.1020%24 Sept →
dust213–100.0217%24 Sept →

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 →

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