Mclovin

Mclovin — CS2 Stats

DK76561198067679348[U:1:107413620]Steam profile ↗✓ No bans

963Tracked matches27%Win rate2020Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
Premier CS Rating12,887Blue band · top ~39.6% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (13 days ago). 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: 12,887 -4,013 1 Jul – 1 Nov · 43 days played
12,88718,935peak 18,9351 Jul1 Nov
19,533Peak Premier in tracked matches
49Days played since 2026-07-01

Premier CS Rating

  • 6,048 below peak (18,935)
  • -1,082 over 30 days · declining
  • -5,174 over 90 days
  • Next: Purple band at 15,000 — 2,113 to go
  • Reached: 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.

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CSDB.GGMclovinPREMIER12,887 · Blue bandcsdb.gg/stats

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Performance scores

Aim71
Positioning56
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateLLWLWLLWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −1.3pp headshot accuracy · −1ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 594ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 595ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 595ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.1
Utility5.0
Positioning5.6
Opening Duels5.0

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

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 577ms 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

Aim7.1
Positioning5.6
Utility5.0
Mechanics6.4
Opening Duels6.2
Win Impact0.0

Composite 5.3/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time582ms−29ms
first ⅓ avg 611ms → last ⅓ avg 582ms
Headshot accuracy12.7%−0.4%
first ⅓ avg 13.2% → last ⅓ avg 12.7%

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

0.19Best match rating · 8–8 · inferno, 12 Jul →
71%Best headshot accuracy · 2–13 · mirage, 19 Jul →
453msFastest reaction time · 13–6 · inferno, 16 Sept →
13–3Biggest win · nuke, 16 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–14In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 50% over 22mirageWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB2211–1150%0.02
ancientC176–1135%-0.01
nukeB157–847%-0.01
mirageD144–1029%-0.03
dust2B147–750%0.01
cacheB115–645%0.01
anubisD62–433%0.00
office—10–10%-0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.4%Headshot accuracy
38.3%Accuracy (enemy spotted)
40.8%Spray accuracy
78.7%Counter-strafing
9.7°Preaim
577msReaction time
56.1%T opening success
53.8%CT opening success
0.58Enemies flashed / flash
4.1%Flash assists
8.13HE damage / grenade
6.33Flashes / 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 12.431% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.038%1 Nov →
ancient11–13-0.0715%1 Nov →
ancient13–60.047%27 Oct →
mirage11–13-0.0018%27 Oct →
dust213–60.1813%27 Oct →
mirage9–13-0.015%20 Oct →
dust211–13-0.0221%20 Oct →
cache13–6-0.007%6 Oct →
mirage13–80.0312%6 Oct →
mirage6–13-0.015%27 Sept →
cache9–130.0820%26 Sept →
mirage8–13-0.028%25 Sept →
anubis13–60.0412%22 Sept →
inferno13–6-0.026%16 Sept →
ancient11–130.0112%6 Sept →
dust26–13-0.0512%26 Aug →
ancient6–13-0.038%24 Aug →
dust27–13-0.0214%24 Aug →
nuke7–13-0.0412%21 Aug →
cache10–130.0120%21 Aug →
mirage7–13-0.0814%20 Aug →
dust28–13-0.0018%19 Aug →
dust24–13-0.047%17 Aug →
mirage7–13-0.047%17 Aug →
nuke13–16-0.0515%16 Aug →
inferno13–60.0317%14 Aug →
ancient13–5-0.0318%13 Aug →
anubis7–13-0.089%12 Aug →
nuke11–130.0413%12 Aug →
inferno11–130.0214%10 Aug →
mirage16–12-0.0522%10 Aug →
ancient13–100.0116%10 Aug →
dust213–90.0216%9 Aug →
mirage13–8-0.053%8 Aug →
nuke13–90.077%8 Aug →
ancient6–130.0313%7 Aug →
cache7–13-0.026%7 Aug →
inferno11–130.059%6 Aug →
anubis11–130.046%5 Aug →
inferno13–70.0814%5 Aug →
cache13–40.028%3 Aug →
dust213–9-0.025%30 Jul →
dust213–50.1116%30 Jul →
mirage14–16-0.0410%29 Jul →
inferno9–130.0220%24 Jul →
mirage11–13-0.0010%23 Jul →
nuke13–5-0.0411%23 Jul →
ancient11–13-0.029%22 Jul →
cache13–70.039%22 Jul →
nuke8–13-0.078%22 Jul →
ancient10–13-0.0212%20 Jul →
nuke3–13-0.0420%20 Jul →
inferno10–130.039%20 Jul →
inferno16–12-0.0111%20 Jul →
cache13–110.0217%20 Jul →
mirage2–13-0.0971%19 Jul →
nuke13–8-0.048%19 Jul →
cache13–60.055%19 Jul →
nuke5–13-0.0013%19 Jul →
inferno13–100.059%19 Jul →
inferno13–50.0217%19 Jul →
dust213–7-0.0419%19 Jul →
inferno2–13-0.0211%19 Jul →
ancient13–11-0.0621%18 Jul →
nuke13–8-0.036%17 Jul →
inferno8–13-0.0017%17 Jul →
ancient11–13-0.0910%17 Jul →
nuke13–16-0.0415%17 Jul →
mirage13–11-0.0411%16 Jul →
dust28–13-0.070%16 Jul →
inferno13–100.0216%16 Jul →
ancient7–130.0714%16 Jul →
anubis13–50.0719%16 Jul →
nuke13–30.0812%16 Jul →
inferno13–110.0817%16 Jul →
inferno13–60.0013%14 Jul →
inferno4–13-0.016%14 Jul →
nuke10–13-0.0220%14 Jul →
inferno7–13-0.0130%14 Jul →
mirage3–13-0.0513%12 Jul →
inferno8–80.1914%12 Jul →
ancient16–140.0118%12 Jul →
dust213–50.1223%12 Jul →
dust211–13-0.0222%11 Jul →
cache15–150.0113%10 Jul →
anubis5–13-0.019%10 Jul →
inferno16–130.0011%10 Jul →
cache13–16-0.0611%9 Jul →
inferno13–60.0910%9 Jul →
office7–13-0.1111%8 Jul →
inferno12–16-0.0415%6 Jul →
inferno15–15-0.029%5 Jul →
ancient4–13-0.076%4 Jul →
nuke13–70.0314%3 Jul →
nuke13–60.049%3 Jul →
ancient13–50.108%2 Jul →
ancient7–13-0.018%2 Jul →
ancient7–13-0.066%2 Jul →
dust213–6-0.0021%2 Jul →
anubis5–13-0.0513%1 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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