McLovin

McLovin — CS2 Stats

76561198243988562[U:1:283722834]Steam profile ↗✓ No bans

119Tracked matches50%Win rate2026Tracked since
52Hours in CS
CSDB Rating2.2 LearningSupport
Premier CS Rating5,416Light Blue band · top ~76.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Aug 2026 (63 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

5,530Peak Premier in tracked matches
22Days played since 2026-04-07

Premier CS Rating

  • At peak — 5,416
  • Next: Blue band at 10,000 — 4,584 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate31.3%39.9%42.0%10.7% short
Shot accuracy1.0%7.0%9.6%8.6% short
Kill/death ratio0.590.920.980.39 short
Match win rate40.0%42.3%43.8%3.8% short

This profile sits below the typical Blue band player on every metric we can compare.

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

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CSDB.GGMcLovinPREMIER5,416 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim12
Positioning32
Utility32

0–100 skill scores via Leetify.

Recent form

HOT40–51–9Last 10040%Win rateLWWWWWWWLL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +0.0pp headshot accuracy · −29ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 575ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 646ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 661ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim1.2
Utility3.2
Positioning3.2
Opening Duels0.0

Strong CT-side openerLimited 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

ZywOo

Plays most like ZywOo 61% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 33% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.2
Positioning3.2
Utility3.2
Mechanics2.5
Opening Duels0.4
Win Impact5.0

Composite 2.2/10 (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+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time659ms+22ms
first ⅓ avg 637ms → last ⅓ avg 659ms
Headshot accuracy11.8%+3.4%
first ⅓ avg 8.4% → last ⅓ avg 11.8%

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

0.07Best match rating · 4–3 · mirage, 12 Apr →
23%Best headshot accuracy · 13–5 · nuke, 15 Aug →
234msFastest reaction time · 0–3 · anubis, 10 Apr →
13–2Biggest win · dust2, 23 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 67% over 6infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2D258–1732%-0.04
mirageC2410–1442%-0.05
anubisB157–847%-0.05
infernoD134–931%-0.07
ancientC73–443%-0.06
vertigoS64–267%-0.03
overpass—42–250%-0.08
nuke—32–167%-0.01
cache—10–10%-0.03
train—10–10%-0.04
office—10–10%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

1,184Lifetime kills
0.59K/D
135Matches
40.0%Match win rate
31.3%Headshot %
1.0%Shot accuracy
128MVPs
52Hours (in match)
156Bombs planted
28Bombs defused

Most-used weapons

Lifetime map wins

322dust2
169inferno
71vertigo
26nuke
3office
2train

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.

11.7%Headshot accuracy
22.1%Accuracy (enemy spotted)
17.9%Spray accuracy
61.4%Counter-strafing
9.6°Preaim
673msReaction time
15.6%T opening success
32.8%CT opening success
0.39Enemies flashed / flash
1.6%Flash assists
5.86HE damage / grenade
4.33Flashes / 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 11.6963% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.

    Spray accuracy 17.9424% — below the 20% mark we flag

    Practice Config →
  3. 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 0.3928 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0819%15 Aug →
ancient13–5-0.027%15 Aug →
inferno13–9-0.069%15 Aug →
anubis13–8-0.0511%15 Aug →
mirage13–7-0.0415%15 Aug →
dust213–8-0.0214%15 Aug →
inferno16–13-0.0313%15 Aug →
nuke13–3-0.015%15 Aug →
dust20–13-0.0316%15 Aug →
nuke0–11-0.0320%15 Aug →
nuke13–50.0223%15 Aug →
inferno11–13-0.086%14 Aug →
mirage13–10-0.0823%14 Aug →
dust211–13-0.033%14 Aug →
cache11–13-0.0316%14 Aug →
mirage13–11-0.0318%28 Jul →
ancient4–13-0.095%28 Jul →
inferno2–13-0.0916%28 Jul →
mirage4–13-0.097%10 Jul →
dust29–13-0.0611%10 Jul →
mirage13–60.057%9 Jul →
ancient10–13-0.0816%8 Jul →
overpass13–10-0.078%8 Jul →
overpass16–14-0.088%6 Jul →
anubis7–13-0.0410%6 Jul →
dust29–13-0.0719%28 Jun →
mirage10–13-0.0311%28 Jun →
inferno13–10-0.109%27 Jun →
dust23–11-0.130%27 Jun →
mirage13–4-0.027%27 Jun →
inferno3–13-0.058%27 Jun →
dust22–13-0.0718%27 Jun →
mirage4–13-0.0514%27 Jun →
mirage13–7-0.077%26 Jun →
ancient5–13-0.074%13 Jun →
mirage10–13-0.0915%13 Jun →
dust27–13-0.083%12 Jun →
mirage13–80.0210%12 Jun →
dust212–12-0.009%12 Jun →
mirage12–12-0.023%15 May →
dust26–13-0.088%2 May →
mirage11–13-0.065%2 May →
anubis8–13-0.0713%1 May →
mirage10–13-0.093%1 May →
dust213–10-0.036%1 May →
dust213–20.019%23 Apr →
overpass2–13-0.1312%23 Apr →
inferno12–12-0.062%12 Apr →
vertigo13–5-0.0618%12 Apr →
dust23–13-0.110%12 Apr →
mirage12–12-0.0811%12 Apr →
dust26–13-0.0610%12 Apr →
anubis13–30.0015%12 Apr →
train2–6-0.049%12 Apr →
anubis13–4-0.080%12 Apr →
dust212–12-0.019%12 Apr →
dust23–13-0.027%12 Apr →
vertigo13–50.025%12 Apr →
mirage4–30.074%12 Apr →
anubis13–9-0.073%11 Apr →
ancient10–13-0.064%11 Apr →
inferno13–10-0.044%11 Apr →
ancient13–9-0.086%11 Apr →
anubis13–6-0.026%11 Apr →
mirage8–13-0.039%11 Apr →
vertigo7–40.056%11 Apr →
vertigo10–13-0.096%11 Apr →
anubis10–13-0.080%11 Apr →
dust213–100.0510%11 Apr →
dust210–13-0.0321%10 Apr →
anubis0–3-0.070%10 Apr →
mirage2–13-0.090%10 Apr →
vertigo13–5-0.077%10 Apr →
dust213–11-0.0314%10 Apr →
mirage8–13-0.097%10 Apr →
overpass7–13-0.0416%9 Apr →
mirage12–12-0.0511%9 Apr →
dust24–13-0.0913%9 Apr →
mirage9–13-0.0412%9 Apr →
ancient13–11-0.028%9 Apr →
anubis6–13-0.114%9 Apr →
inferno12–12-0.067%9 Apr →
dust212–12-0.0314%9 Apr →
anubis0–13-0.073%9 Apr →
mirage3–3-0.0710%8 Apr →
inferno12–12-0.1010%8 Apr →
office3–130.0111%8 Apr →
dust211–13-0.049%8 Apr →
anubis13–4-0.008%8 Apr →
vertigo3–13-0.0019%8 Apr →
anubis11–13-0.024%8 Apr →
anubis13–80.0113%8 Apr →
inferno3–13-0.100%8 Apr →
dust213–7-0.052%8 Apr →
dust213–11-0.0711%8 Apr →
inferno9–13-0.0811%7 Apr →
dust213–9-0.0317%7 Apr →
anubis5–13-0.120%7 Apr →
mirage13–9-0.104%7 Apr →
mirage10–13-0.076%7 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 →

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