iLove_Loli

iLove_Loli — CS2 Stats

PK76561199382996575[U:1:1422730847]Steam profile ↗✓ No bans

527Tracked matches59%Win rate2023Tracked since
1,296Hours in CS3Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating14,634Blue band · top ~30.3% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGiLove_LoliPREMIER14,634 · Blue bandcsdb.gg/stats

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Performance scores

Aim84
Positioning48
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY56–36–8Last 10056%Win rateLWWWLTLWWL

Last 10 vs previous 10: −30pp win rate · +0.06 avg rating · +1.6pp headshot accuracy · −86ms 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 (+0.06), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 17%
  • Avg reaction 494ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 16%
  • Avg reaction 485ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • 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 (+1.8 against its own average).

Aim8.4
Utility1.5
Positioning4.8
Opening Duels2.6

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

donk

Plays most like donk 80% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

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

Aim8.4
Positioning4.8
Utility1.5
Mechanics6.3
Opening Duels3.7
Win Impact7.9

Composite 5.5/10 (Solid), 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 rating0.03+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time522ms−19ms
first ⅓ avg 541ms → last ⅓ avg 522ms
Headshot accuracy18.5%−2.1%
first ⅓ avg 20.6% → last ⅓ avg 18.5%

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

0.35Best match rating · 9–0 · inferno, 5 Nov →
100%Best headshot accuracy · 6–0 · nuke, 4 Oct →
367msFastest reaction time · 9–3 · inferno, 20 Sept →
13–1Biggest win · vertigo, 3 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–7In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 71% over 7infernoWeakest map · 54% over 41
MapGradePlayedRecordWin rateAvg rating
infernoB4122–1954%0.04
nukeA2012–860%0.03
mirageA138–562%0.00
cacheA106–460%0.01
vertigoS75–271%0.02
dust2—41–325%-0.03
train—22–0100%0.02
overpass—20–20%0.02
poseidon—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (54% over 41). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,245Lifetime kills
1.00K/D
1,494Matches
49.7%Match win rate
51.6%Headshot %
6.0%Shot accuracy
5,599MVPs
567Hours (in match)
1,179Bombs planted
214Bombs defused

Most-used weapons

Lifetime map wins

4,449inferno
1,618nuke
738vertigo
588cbble
416train
318dust2
40office
3safehouse

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.

17.6%Headshot accuracy
37.6%Accuracy (enemy spotted)
39.5%Spray accuracy
78.3%Counter-strafing
8.0°Preaim
507msReaction time
41.8%T opening success
48.1%CT opening success
0.33Enemies flashed / flash
3.2%Flash assists
8.37HE damage / grenade
1.31Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3327 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–9-0.0726%5 Nov →
inferno9–00.3519%5 Nov →
vertigo3–10.050%5 Nov →
inferno9–20.1726%5 Nov →
inferno5–9-0.1416%5 Nov →
nuke8–80.038%4 Nov →
inferno7–130.0414%3 Nov →
train13–70.0519%3 Nov →
vertigo13–10.0812%3 Nov →
dust24–13-0.0717%31 Oct →
nuke9–30.028%29 Oct →
cache13–10-0.0210%28 Oct →
inferno9–6-0.1927%16 Oct →
inferno9–20.016%16 Oct →
inferno7–90.0128%7 Oct →
inferno9–30.009%5 Oct →
vertigo9–70.086%5 Oct →
nuke11–130.0617%4 Oct →
mirage13–5-0.0018%4 Oct →
vertigo13–4-0.0611%4 Oct →
nuke6–00.02100%4 Oct →
cache13–110.0223%3 Oct →
dust212–12-0.0118%2 Oct →
inferno7–90.0824%1 Oct →
inferno5–80.077%1 Oct →
inferno13–70.0019%30 Sept →
inferno8–8-0.1215%30 Sept →
inferno9–60.0924%30 Sept →
inferno8–80.1514%30 Sept →
inferno9–10.1511%30 Sept →
inferno13–60.0421%29 Sept →
vertigo8–8-0.0425%26 Sept →
inferno3–9-0.0315%26 Sept →
mirage6–130.0712%24 Sept →
cache9–30.0523%24 Sept →
nuke13–60.0415%24 Sept →
mirage13–80.0533%24 Sept →
inferno9–40.1029%24 Sept →
overpass11–130.0210%24 Sept →
overpass4–90.035%22 Sept →
mirage13–60.019%22 Sept →
dust27–13-0.0510%22 Sept →
inferno9–30.0821%22 Sept →
inferno5–9-0.0424%22 Sept →
vertigo4–90.0413%22 Sept →
nuke9–40.0813%22 Sept →
nuke8–80.0217%21 Sept →
inferno3–9-0.0113%20 Sept →
inferno9–30.2123%20 Sept →
inferno9–30.0232%20 Sept →
inferno5–90.065%11 Sept →
inferno9–00.2220%3 Sept →
nuke9–60.059%3 Sept →
mirage4–13-0.1019%3 Sept →
nuke13–9-0.0015%3 Sept →
poseidon5–9-0.0814%3 Sept →
inferno9–40.1526%3 Sept →
inferno9–5-0.0019%3 Sept →
nuke4–9-0.0816%3 Sept →
inferno13–70.0117%2 Sept →
dust213–60.0220%2 Sept →
mirage13–70.0121%2 Sept →
nuke10–13-0.0222%2 Sept →
inferno7–9-0.0415%2 Sept →
nuke8–130.0112%2 Sept →
inferno9–6-0.0315%2 Sept →
mirage11–130.0428%1 Sept →
vertigo13–90.0223%30 Aug →
inferno13–4-0.0124%29 Aug →
nuke13–11-0.0018%29 Aug →
mirage13–11-0.0316%29 Aug →
cache5–130.0023%29 Aug →
mirage13–11-0.0225%28 Aug →
nuke13–10.0511%28 Aug →
inferno7–13-0.0032%28 Aug →
cache5–13-0.0116%28 Aug →
inferno9–40.2020%28 Aug →
mirage13–100.0524%28 Aug →
inferno9–130.0331%28 Aug →
inferno7–90.0621%28 Aug →
nuke3–9-0.0933%28 Aug →
inferno9–50.1022%28 Aug →
nuke9–10.1913%27 Aug →
inferno4–9-0.1226%27 Aug →
cache12–120.0318%25 Aug →
cache4–130.0318%24 Aug →
inferno9–60.0221%24 Aug →
nuke9–5-0.0117%24 Aug →
inferno5–9-0.0312%23 Aug →
mirage5–13-0.0227%21 Aug →
inferno8–80.0422%21 Aug →
nuke9–40.2017%21 Aug →
cache13–10-0.0312%19 Aug →
mirage1–13-0.0718%17 Aug →
cache13–110.0024%15 Aug →
inferno6–9-0.0825%15 Aug →
train13–9-0.0122%14 Aug →
mirage13–80.0624%13 Aug →
nuke13–40.0610%13 Aug →
cache13–40.0718%13 Aug →

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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