pelotafutbol

pelotafutbol — CS2 Stats

JM76561198058798589[U:1:98532861]Steam profile ↗✓ No bans

1,794Tracked matches68%Win rate2020Tracked since
4,320Hours in CS22Hrs last 2 wks
CSDB Rating6.3 SolidClutch Specialist
Premier CS Rating10,899Blue band · top ~50.1% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 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: 10,899 -2,573 7 Sept – 6 Nov · 40 days played
8,33913,943peak 13,9437 Sept6 Nov
13,943Peak Premier in tracked matches
44Days played since 2026-08-15

Premier CS Rating

  • 3,044 below peak (13,943)
  • +359 over 30 days · steady
  • Next: Purple band at 15,000 — 4,101 to go
  • Reached: 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 Level 5 among CSDB-tracked players (n=14,283), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate54.3%43.8%44.8%above
Shot accuracy14.7%12.0%12.4%above
Kill/death ratio0.801.021.030.24 short
Match win rate43.7%44.7%45.2%1.5% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpelotafutbolFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,899 · Blue bandcsdb.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

Aim76
Positioning65
Utility45

0–100 skill scores via Leetify.

Recent form

HOT49–45–6Last 10049%Win rateTWWWWWLLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.3pp headshot accuracy · −27ms reaction

Win rate 0pp 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 616ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 573ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 586ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.2 against its own average).

Aim7.6
Utility4.5
Positioning6.5
Opening Duels4.1
Clutch8.0

Reliable in 1v1s

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 90% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower 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

T openings. 62% 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.

Reaction time. 587ms 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

Aim7.6
Positioning6.5
Utility4.5
Mechanics4.7
Opening Duels6.4
Win Impact10.0

Composite 6.3/10 (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+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time593ms+32ms
first ⅓ avg 562ms → last ⅓ avg 593ms
Headshot accuracy25.2%−3.9%
first ⅓ avg 29.1% → last ⅓ avg 25.2%

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

0.26Best match rating · 7–0 · mirage, 23 Oct →
69%Best headshot accuracy · 13–4 · vertigo, 23 Sept →
406msFastest reaction time · 8–13 · inferno, 21 Oct →
13–1Biggest win · dust2, 4 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 67% over 15nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2214–864%0.03
anubisD186–1233%0.01
infernoC156–940%-0.00
dust2S1510–567%0.01
nukeD123–925%0.04
ancientB105–550%-0.00
cacheA74–357%0.06
vertigo—11–0100%0.14

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,406Lifetime kills
0.80K/D
5,687Matches
43.7%Match win rate
54.3%Headshot % · Top 25% of Level 5 players
14.7%Shot accuracy · Top 50% of Level 5 players
10,590MVPs
6,979Hours (in match)
3,662Bombs planted
1,226Bombs defused

Most-used weapons

AK-4749,600
AWP6,296
FAMAS3,910
MAC-102,617
MP92,280

Lifetime map wins

13,307inferno
6,143dust2
4,777nuke
4,319vertigo
1,606train
79lake
62office
57cbble

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

Faceit stats

Combat

875Matches
51%Win rate
1.02Avg K/D
78.5ADR
39%Headshot %

Clutches & streaks

60%1v1 clutch win
29%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.8916.8
Nuke367%0.858.7
Inferno2100%1.0411.5
Train1100%1.5326.0
Ancient10%1.0017.0
Anubis1100%1.1416.0

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.

23.6%Headshot accuracy
37.6%Accuracy (enemy spotted)
40.0%Spray accuracy
71.3%Counter-strafing
9.9°Preaim
587msReaction time
62.2%T opening success
48.8%CT opening success
0.47Enemies flashed / flash
5.2%Flash assists
5.44HE damage / grenade
12.38Flashes / 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 0.4706 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis15–150.0629%6 Nov →
cache13–60.0428%6 Nov →
inferno13–8-0.0022%4 Nov →
dust213–10.1325%4 Nov →
dust213–20.0420%3 Nov →
anubis13–30.0144%3 Nov →
mirage10–130.0128%2 Nov →
anubis13–16-0.0013%2 Nov →
ancient13–100.0229%1 Nov →
inferno13–110.0924%1 Nov →
anubis13–30.0736%1 Nov →
inferno13–30.0529%1 Nov →
nuke13–50.1123%31 Oct →
nuke13–100.0033%31 Oct →
inferno7–130.0418%28 Oct →
mirage6–130.0328%28 Oct →
mirage13–60.0128%28 Oct →
anubis13–110.0018%27 Oct →
dust28–130.0126%27 Oct →
inferno13–7-0.0327%27 Oct →
ancient13–7-0.0138%27 Oct →
dust213–20.088%27 Oct →
ancient4–13-0.057%25 Oct →
dust215–15-0.0320%24 Oct →
ancient7–130.059%23 Oct →
mirage13–8-0.0311%23 Oct →
mirage7–00.2644%23 Oct →
mirage13–110.0228%22 Oct →
anubis11–13-0.0116%22 Oct →
anubis10–130.0218%22 Oct →
dust213–70.0027%22 Oct →
inferno8–13-0.0333%21 Oct →
mirage13–60.0044%21 Oct →
anubis10–13-0.0022%20 Oct →
anubis7–13-0.0220%20 Oct →
cache14–160.0112%19 Oct →
mirage13–70.0435%19 Oct →
cache13–70.0426%18 Oct →
dust213–40.005%18 Oct →
cache9–130.0827%17 Oct →
anubis13–160.0322%17 Oct →
nuke7–130.0716%16 Oct →
dust216–140.0329%16 Oct →
nuke9–130.0222%16 Oct →
cache13–40.0729%16 Oct →
anubis13–80.0814%15 Oct →
nuke8–130.0427%15 Oct →
mirage13–10.0739%15 Oct →
dust213–70.0124%14 Oct →
mirage9–13-0.0322%14 Oct →
ancient10–130.0122%13 Oct →
inferno13–110.0533%11 Oct →
nuke11–13-0.0123%11 Oct →
nuke11–130.1036%9 Oct →
anubis13–70.0719%9 Oct →
cache13–60.0322%7 Oct →
inferno8–13-0.0121%6 Oct →
mirage13–70.0026%6 Oct →
mirage13–30.1233%6 Oct →
anubis15–15-0.0224%6 Oct →
mirage6–130.0118%5 Oct →
anubis11–13-0.0128%5 Oct →
nuke7–13-0.0221%2 Oct →
nuke13–100.0733%2 Oct →
anubis13–50.0326%1 Oct →
mirage7–13-0.0421%1 Oct →
inferno5–130.0225%30 Sept →
dust29–13-0.0332%30 Sept →
dust213–8-0.0327%28 Sept →
ancient13–90.0036%28 Sept →
mirage15–150.0826%27 Sept →
nuke8–130.0534%24 Sept →
mirage13–70.1040%24 Sept →
nuke9–130.0332%24 Sept →
anubis11–13-0.0128%24 Sept →
nuke12–120.0529%23 Sept →
vertigo13–40.1469%23 Sept →
cache9–130.1147%23 Sept →
mirage13–10-0.0315%23 Sept →
anubis4–13-0.0926%23 Sept →
inferno15–150.0429%22 Sept →
mirage7–13-0.0232%22 Sept →
dust213–70.0119%22 Sept →
ancient7–130.0317%22 Sept →
mirage13–90.0017%17 Sept →
inferno1–13-0.1540%17 Sept →
dust27–13-0.0129%17 Sept →
mirage13–90.0430%16 Sept →
dust213–100.0128%14 Sept →
ancient10–13-0.0121%14 Sept →
inferno6–13-0.0717%11 Sept →
inferno5–13-0.0529%10 Sept →
mirage4–13-0.0034%7 Sept →
ancient16–12-0.0424%7 Sept →
inferno8–130.0135%5 Sept →
anubis4–13-0.048%5 Sept →
inferno13–7-0.0317%5 Sept →
dust25–13-0.1010%3 Sept →
ancient13–10-0.0318%28 Aug →
mirage13–20.0963%15 Aug →

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 →

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