✪Motolove

✪Motolove — CS2 Stats

DE76561198214226323[U:1:253960595]Steam profile ↗✓ No bans

4,121Tracked matches56%Win rate2022Tracked since
5,487Hours in CS18Hrs last 2 wks
CSDB Rating8.0 StrongPositional Player
Premier CS Rating24,999Top 25% of 211,827 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#22747 of 258705 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (12 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: 24,999 +1,908 24 Sept – 18 Oct · 8 days played
23,09124,999peak 24,99924 Sept18 Oct
24,999Peak Premier in tracked matches
1,723Highest Faceit ELO seen on CSDB
35Days played since 2026-09-06

Faceit ELO

  • At peak — 1,723
  • Next: Level 9 at 1,751 — 28 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • At peak — 24,999
  • +1,908 over 30 days · improving
  • Next: Red band at 25,000 — 1 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate60.6%46.9%49.3%above
Shot accuracy15.5%13.0%13.4%above
Kill/death ratio1.671.081.12above
Match win rate47.6%46.7%48.5%meets

Across every metric we can compare, this profile already matches the typical Red band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GG✪MotolovePREMIER24,999 · Pink bandPEAK ELO1,723csdb.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

Aim98
Positioning66
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY56–35–9Last 10056%Win rateWWLLWLWWLT

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +9.3pp headshot accuracy · +52ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 40%
  • Avg reaction 561ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 40%
  • Avg reaction 572ms

Last 20

  • 9–7–4 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 35%
  • Avg reaction 546ms

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 (+1.6 against its own average).

Aim9.8
Utility6.1
Positioning6.6
Opening Duels4.6
Clutch2.8

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

ropz

Plays most like ropz 96% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 98 — the mechanical foundation is a clear strength.

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Positioning. Positioning trails aim by 31 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

Aim9.8
Positioning6.6
Utility6.1
Mechanics8.8
Opening Duels6.6
Win Impact7.0

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.05
first ⅓ avg 0.06 → last ⅓ avg 0.02
Reaction time543ms+3ms
first ⅓ avg 539ms → last ⅓ avg 543ms
Headshot accuracy32.6%+2.0%
first ⅓ avg 30.6% → last ⅓ avg 32.6%

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

0.18Best match rating · 7–2 · nuke, 10 Sept →
50%Best headshot accuracy · 12–12 · dust2, 25 Oct →
367msFastest reaction time · 11–13 · dust2, 2 Oct →
13–1Biggest win · italy, 8 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
10–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 83% over 6anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3217–1553%0.03
mirageB147–750%0.04
vertigoA85–363%0.05
officeS75–271%0.07
nukeA74–357%0.04
anubisD62–433%0.00
infernoS65–183%0.05
cacheC52–340%0.02
ancient—42–250%0.06
shelter—31–233%0.02
train—32–167%0.02
overpass—22–0100%0.10
italy—21–150%0.03
fachwerk—11–0100%0.17

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

247,452Lifetime kills
1.67K/D · Top 5% of Pink band
9,099Matches
47.6%Match win rate · Top 50% of Pink band
60.6%Headshot % · Top 10% of Pink band
15.5%Shot accuracy · Top 50% of Pink band
41,112MVPs
3,454Hours (in match)
8,776Bombs planted
1,625Bombs defused

Most-used weapons

AWP78,462
AK-4769,177
SSG 084,382
FAMAS2,891
SG 5531,809

Lifetime map wins

12,875dust2
12,355inferno
4,231nuke
2,646vertigo
2,145train
2,069office
608italy
547cbble

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

Faceit stats

Combat

227Matches
57%Win rate
1.43Avg K/D
79.4ADR
58%Headshot %

Clutches & streaks

34%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1759%1.1217.3
Dust21631%0.9916.4
Overpass757%1.6516.6
Inferno650%1.4617.3
Nuke450%1.0315.3
Ancient367%1.3814.7
Anubis250%0.9415.0
Vertigo250%0.549.5

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.

31.7%Headshot accuracy
40.1%Accuracy (enemy spotted)
47.2%Spray accuracy
89.4%Counter-strafing
6.6°Preaim
545msReaction time
60.8%T opening success
51.9%CT opening success
0.66Enemies flashed / flash
3.9%Flash assists
10.28HE damage / grenade
8.98Flashes / match

Recommended for you

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–100.0243%28 Oct →
office13–90.1041%28 Oct →
shelter7–13-0.0348%27 Oct →
cache9–13-0.0039%27 Oct →
dust213–100.0228%27 Oct →
anubis8–13-0.0046%26 Oct →
dust213–100.1333%26 Oct →
overpass13–40.1338%26 Oct →
dust27–13-0.0431%26 Oct →
dust212–120.0750%25 Oct →
mirage12–120.0235%25 Oct →
dust28–130.0123%25 Oct →
dust28–13-0.0323%25 Oct →
dust212–12-0.0134%25 Oct →
office13–40.0131%23 Oct →
dust212–120.0335%23 Oct →
cache13–30.1022%22 Oct →
cache8–13-0.0447%21 Oct →
cache13–60.0133%21 Oct →
mirage13–11-0.0419%18 Oct →
mirage13–30.0426%18 Oct →
inferno11–13-0.0117%17 Oct →
nuke6–130.0432%17 Oct →
mirage4–130.0116%17 Oct →
mirage13–90.0326%17 Oct →
ancient5–13-0.0438%17 Oct →
nuke13–70.0424%17 Oct →
dust213–8-0.0432%17 Oct →
inferno13–6-0.0025%15 Oct →
dust212–120.0212%15 Oct →
vertigo13–80.0045%14 Oct →
dust212–12-0.0039%14 Oct →
nuke13–50.0446%8 Oct →
inferno5–10.0324%8 Oct →
mirage12–120.1118%8 Oct →
italy13–10.0534%8 Oct →
dust29–130.0830%8 Oct →
ancient2–130.0237%8 Oct →
mirage9–13-0.0528%7 Oct →
office11–130.0130%7 Oct →
train13–1-0.0320%7 Oct →
train3–20.0318%7 Oct →
mirage6–130.0127%6 Oct →
dust213–10-0.0124%6 Oct →
dust213–110.0429%5 Oct →
inferno13–90.0927%5 Oct →
nuke9–4-0.0330%5 Oct →
mirage7–13-0.0326%5 Oct →
dust212–9-0.0135%4 Oct →
dust213–20.0629%4 Oct →
dust211–13-0.0026%2 Oct →
inferno13–40.1313%2 Oct →
dust210–130.0939%2 Oct →
office7–130.1420%2 Oct →
mirage13–110.0516%2 Oct →
vertigo13–60.0839%1 Oct →
dust27–130.0121%1 Oct →
dust212–12-0.0418%30 Sept →
fachwerk13–10.1731%26 Sept →
shelter13–110.0621%26 Sept →
anubis13–8-0.0115%24 Sept →
mirage13–110.0330%24 Sept →
vertigo7–130.0638%23 Sept →
vertigo13–7-0.0034%23 Sept →
vertigo5–130.0232%23 Sept →
vertigo8–130.0216%23 Sept →
dust213–100.0441%22 Sept →
inferno8–20.0650%21 Sept →
dust213–60.0637%21 Sept →
anubis7–130.0115%21 Sept →
dust213–6-0.0229%21 Sept →
dust213–60.0931%20 Sept →
shelter2–130.0125%20 Sept →
italy8–130.0229%18 Sept →
mirage13–70.1024%18 Sept →
nuke5–9-0.0713%18 Sept →
vertigo9–40.1544%18 Sept →
anubis13–110.0122%17 Sept →
anubis2–13-0.0632%16 Sept →
dust213–110.1325%16 Sept →
anubis11–130.0720%16 Sept →
dust213–11-0.0341%15 Sept →
nuke9–130.0732%13 Sept →
dust23–130.0327%13 Sept →
mirage10–130.1032%13 Sept →
dust213–40.1437%13 Sept →
vertigo13–80.1034%11 Sept →
office13–110.1429%11 Sept →
mirage13–80.1331%10 Sept →
nuke7–20.1831%10 Sept →
train12–120.0736%10 Sept →
ancient13–80.1242%10 Sept →
office13–60.0924%10 Sept →
dust213–10-0.0130%10 Sept →
ancient13–70.1226%9 Sept →
dust213–90.0328%9 Sept →
cache5–130.0535%8 Sept →
dust213–60.0943%8 Sept →
overpass13–90.0830%6 Sept →
dust211–130.0228%6 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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