MR.Lone1y

MR.Lone1y — CS2 Stats

CA76561199240909508[U:1:1280643780]Steam profile ↗✓ No bans

1,087Tracked matches47%Win rate2025Tracked since
2,092Hours in CS18Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating19,322Top 50% of 215,066 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#96192 of 261305 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 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: 19,322 +1,863 13 Jun – 11 Nov · 27 days played
17,45920,441peak 20,44113 Jun11 Nov
20,585Peak Premier in tracked matches
1,568Highest Faceit ELO seen on CSDB
43Days played since 2026-04-18

Faceit ELO

  • At peak — 1,568
  • Next: Level 9 at 1,751 — 183 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 1,119 below peak (20,441)
  • -359 over 30 days · steady
  • Next: Pink band at 20,000 — 678 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.

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 rate50.7%44.4%46.9%above
Shot accuracy10.9%11.9%13.0%2.1% short
Kill/death ratio0.941.031.080.14 short
Match win rate47.2%45.2%46.7%meets

This profile matches the typical Pink band player on 2 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.GGMR.Lone1yPREMIER19,322 · Purple bandPEAK ELO1,568csdb.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

Aim90
Positioning73
Utility44

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateLLLLWWWLLL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −1.8pp headshot accuracy · +26ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 511ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 540ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 527ms

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 (+2.3 against its own average).

Aim9.0
Utility4.4
Positioning7.3
Opening Duels6.1
Clutch2.2

Sharp aimerExcellent counter-strafing

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

donk

Plays most like donk 94% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

T openings. 75% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 75% on T to 54% on CT — first contacts on the defending side are being lost.

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

Aim9.0
Positioning7.3
Utility4.4
Mechanics9.4
Opening Duels7.9
Win Impact3.9

Composite 7.4/10 (Strong), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time524ms−118ms
first ⅓ avg 641ms → last ⅓ avg 524ms
Headshot accuracy21.6%−6.1%
first ⅓ avg 27.7% → last ⅓ avg 21.6%

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

0.15Best match rating · 13–4 · ancient, 9 Oct →
50%Best headshot accuracy · 8–13 · mirage, 20 Sept →
375msFastest reaction time · 0–13 · ancient, 7 Oct →
13–1Biggest win · mirage, 11 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
11–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 71% over 14nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2710–1737%0.00
mirageA2213–959%0.02
infernoS1410–471%0.01
ancientB137–654%0.01
cacheB105–550%0.01
anubisC83–538%0.02
nukeD61–517%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,600Lifetime kills
0.94K/D
2,519Matches
47.2%Match win rate · Top 50% of Purple band
50.7%Headshot % · Top 25% of Purple band
10.9%Shot accuracy
6,825MVPs
1,225Hours (in match)
1,812Bombs planted
499Bombs defused

Most-used weapons

Lifetime map wins

10,898dust2
4,153inferno
2,023nuke
675vertigo
515train
26office
1cbble

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

Faceit stats

Combat

177Matches
48%Win rate
1.13Avg K/D
85.8ADR
55%Headshot %

Clutches & streaks

31%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust27247%1.1119.3
Mirage5254%1.2817.2
Ancient2343%1.0216.5
Inferno2040%1.0114.8
Train475%1.1222.0
Nuke450%1.1215.5
Anubis10%0.7115.0
Cache10%0.8012.0

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.

22.2%Headshot accuracy
37.8%Accuracy (enemy spotted)
37.0%Spray accuracy
92.4%Counter-strafing
8.9°Preaim
528msReaction time
75.3%T opening success
53.5%CT opening success
0.58Enemies flashed / flash
7.2%Flash assists
3.60HE damage / grenade
8.80Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–130.0718%11 Nov →
nuke6–13-0.0118%11 Nov →
inferno10–130.0223%11 Nov →
cache4–13-0.0028%7 Nov →
mirage13–11-0.0023%7 Nov →
mirage13–40.0720%7 Nov →
ancient13–110.0227%6 Nov →
cache8–13-0.0118%3 Nov →
inferno3–130.0722%3 Nov →
mirage10–13-0.0411%1 Nov →
nuke7–130.0323%1 Nov →
anubis16–140.0333%1 Nov →
cache6–130.0713%1 Nov →
cache16–140.0126%31 Oct →
nuke13–30.0415%31 Oct →
nuke11–13-0.0124%30 Oct →
dust211–130.0230%30 Oct →
cache13–8-0.0317%29 Oct →
inferno13–50.0323%29 Oct →
inferno13–3-0.0124%24 Oct →
cache13–60.0914%24 Oct →
dust213–3-0.0315%24 Oct →
ancient14–160.0326%14 Oct →
inferno13–160.0326%12 Oct →
cache13–110.0323%12 Oct →
mirage13–60.0118%11 Oct →
anubis7–13-0.0333%11 Oct →
mirage13–10.0729%11 Oct →
mirage11–130.0417%10 Oct →
ancient8–13-0.0216%9 Oct →
anubis10–130.0215%9 Oct →
anubis13–80.0413%9 Oct →
ancient13–40.1530%9 Oct →
cache5–130.0134%8 Oct →
cache2–13-0.130%8 Oct →
inferno13–40.0019%7 Oct →
ancient0–13-0.090%7 Oct →
dust23–13-0.0420%7 Oct →
inferno16–140.0130%7 Oct →
ancient13–6-0.0214%7 Oct →
nuke9–13-0.0426%27 Sept →
cache13–10.0211%27 Sept →
inferno16–12-0.0421%27 Sept →
mirage7–130.0525%25 Sept →
mirage16–130.0417%25 Sept →
inferno13–10-0.0029%23 Sept →
dust23–130.0024%20 Sept →
dust213–90.0245%20 Sept →
mirage8–13-0.0450%20 Sept →
dust24–130.0337%14 Sept →
mirage2–90.1029%14 Sept →
anubis11–130.0224%7 Sept →
mirage8–10.0111%7 Sept →
dust213–70.0116%6 Sept →
anubis13–10.0644%6 Sept →
dust23–90.0624%4 Sept →
anubis8–13-0.0623%2 Sept →
ancient13–70.0524%2 Sept →
inferno13–50.0929%2 Sept →
mirage11–13-0.0516%1 Sept →
dust213–60.0132%1 Sept →
ancient13–50.0124%1 Sept →
mirage13–20.0414%1 Sept →
inferno13–9-0.0422%31 Aug →
dust211–13-0.0322%31 Aug →
mirage13–110.0525%31 Aug →
dust210–13-0.0220%28 Aug →
dust213–110.0432%28 Aug →
dust27–130.0127%27 Aug →
dust211–13-0.0126%26 Aug →
mirage13–90.0526%25 Aug →
dust29–13-0.0127%25 Aug →
dust213–9-0.0130%21 Aug →
ancient15–15-0.0529%19 Aug →
mirage16–140.1121%19 Aug →
dust29–130.0116%16 Jun →
inferno13–10-0.0024%16 Jun →
ancient10–130.0317%15 Jun →
dust24–13-0.0229%15 Jun →
mirage13–10-0.0239%15 Jun →
dust213–110.0538%15 Jun →
dust211–130.0125%14 Jun →
dust213–80.0737%14 Jun →
dust213–5-0.0529%14 Jun →
nuke6–13-0.0335%14 Jun →
dust26–130.0517%13 Jun →
mirage9–13-0.0125%13 Jun →
mirage13–90.0831%13 Jun →
ancient13–10-0.0227%13 Jun →
mirage13–6-0.0329%13 Jun →
mirage11–13-0.0022%13 Jun →
dust29–13-0.0812%10 Jun →
dust213–11-0.0925%7 Jun →
ancient13–2-0.0115%6 Jun →
mirage6–13-0.0435%6 Jun →
inferno9–13-0.0538%15 May →
dust24–13-0.0650%20 Apr →
anubis6–130.0629%20 Apr →
inferno13–80.0221%20 Apr →
ancient9–13-0.0133%18 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.