propelli

propelli — CS2 Stats

76561199076967528[U:1:1116701800]Steam profile ↗✓ No bans

2,053Tracked matches43%Win rate2021Tracked since
3,805Hours in CS28Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating9,862Light Blue band · top ~55.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 8 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 9,862 +2,959 8 Aug22 Sept · 33 days played
5,0009,898peak 9,8988 Aug22 Sept
9,898Peak Premier in tracked matches
34Days played since 2026-08-08

Premier CS Rating

  • 36 below peak (9,898)
  • +2,637 over 30 days · improving
  • Next: Blue band at 10,000 138 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 Level 3 among CSDB-tracked players (n=9,396), 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 3 medianLevel 4 medianvs Level 4
Headshot rate53.3%41.9%42.7%above
Shot accuracy10.3%12.2%11.3%1.0% short
Kill/death ratio0.750.980.990.25 short
Match win rate39.3%43.3%43.9%4.6% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpropelliFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER9,862 · Light 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

Aim56
Positioning48
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY44533Last 10044%Win rateWLWTTLWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +5.4pp headshot accuracy · +27ms 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

  • 212 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 27%
  • Avg reaction 905ms

Last 10

  • 442 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 29%
  • Avg reaction 805ms

Last 20

  • 6122 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 791ms

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 PlayerPositioning stands above the rest of this profile (+2.2 against its own average).

Aim5.6
Utility1.3
Positioning4.8
Opening Duels1.4
Clutch3.0

Limited 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

iM

Plays most like iM 84% playstyle similarity

Most alike: positioning profile, aim 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

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

Reaction time. 760ms 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

Aim5.6
Positioning4.8
Utility1.3
Mechanics7.2
Opening Duels3.0
Win Impact2.6

Composite 4.0/10 (Developing), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time748ms+51ms
first ⅓ avg 697ms → last ⅓ avg 748ms
Headshot accuracy25.8%−0.3%
first ⅓ avg 26.1% → last ⅓ avg 25.8%

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

0.16Best match rating · 13–9 · ancient, 24 Aug
59%Best headshot accuracy · 6–13 · ancient, 4 Sept
484msFastest reaction time · 13–3 · mirage, 8 Aug
13–2Biggest win · cache, 18 Sept

Across the last 100 tracked matches.

Highlights

3Longest win streak
68In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 67% over 12infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2381535%-0.02
nukeB22101245%-0.02
anubisC2071335%-0.02
ancientS128467%0.00
cacheS96367%0.01
infernoD92722%-0.05
dust243175%-0.01
vertigo1010%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,279Lifetime kills
0.75K/D
5,493Matches
39.3%Match win rate
53.3%Headshot % · Top 10% of Level 3 players
10.3%Shot accuracy
8,214MVPs
2,099Hours (in match)
5,750Bombs planted
930Bombs defused

Most-used weapons

Lifetime map wins

9,409nuke
6,720dust2
6,066inferno
1,527vertigo
1,042train
200office
178lake
53cbble

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

Faceit stats

Combat

298Matches
49%Win rate
0.70Avg K/D
60.4ADR
50%Headshot %

Clutches & streaks

35%1v1 clutch win
13%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4961%0.7110.0
Nuke4058%0.669.8
Ancient3554%0.6610.3
Anubis2055%0.6911.8
Dust21656%0.7311.5
Inferno1020%0.6511.6
Overpass967%1.2111.0
Vertigo729%0.619.4

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.

26.4%Headshot accuracy
31.0%Accuracy (enemy spotted)
28.0%Spray accuracy
82.4%Counter-strafing
9.1°Preaim
760msReaction time
41.0%T opening success
43.1%CT opening success
0.26Enemies flashed / flash
0.7%Flash assists
9.99HE damage / grenade
0.61Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 760.3108ms — above the 700ms mark we flag

    Aim Training
  2. 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 0.2591 — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–8-0.0022%22 Sept
ancient12–16-0.0338%22 Sept
cache13–10-0.1120%20 Sept
cache15–15-0.0632%20 Sept
anubis15–15-0.0923%20 Sept
mirage10–13-0.0233%19 Sept
cache13–20.0925%18 Sept
ancient13–7-0.0130%18 Sept
anubis10–13-0.0643%16 Sept
anubis5–13-0.0819%12 Sept
mirage13–50.0239%12 Sept
inferno9–13-0.0321%12 Sept
nuke8–130.0026%12 Sept
mirage6–13-0.0920%11 Sept
cache8–130.0118%10 Sept
nuke14–16-0.0822%9 Sept
anubis10–13-0.0624%9 Sept
nuke8–13-0.0815%9 Sept
mirage9–13-0.0320%8 Sept
nuke13–8-0.0728%6 Sept
ancient6–13-0.0159%4 Sept
ancient13–40.0227%3 Sept
anubis13–80.0128%3 Sept
mirage13–90.0330%3 Sept
anubis10–130.0426%3 Sept
anubis13–40.0624%3 Sept
nuke13–60.0717%3 Sept
nuke6–13-0.0214%2 Sept
dust213–11-0.0122%31 Aug
mirage7–13-0.0025%31 Aug
nuke13–7-0.0319%31 Aug
mirage1–13-0.0624%31 Aug
nuke13–60.0119%31 Aug
cache13–60.0726%31 Aug
anubis5–13-0.1114%31 Aug
nuke5–130.0324%30 Aug
anubis13–30.0220%30 Aug
anubis13–160.0033%30 Aug
anubis2–10-0.0829%30 Aug
cache13–10-0.0222%30 Aug
vertigo1–13-0.0835%30 Aug
ancient13–9-0.0521%30 Aug
nuke13–4-0.0212%30 Aug
inferno7–13-0.077%29 Aug
mirage9–13-0.0430%29 Aug
mirage11–130.0018%29 Aug
dust213–80.0535%29 Aug
ancient11–13-0.0522%29 Aug
inferno13–70.0527%28 Aug
mirage13–110.0232%28 Aug
mirage13–70.0618%26 Aug
nuke13–16-0.0329%26 Aug
nuke13–9-0.0124%26 Aug
anubis4–13-0.0548%26 Aug
mirage16–14-0.0723%26 Aug
nuke5–130.0311%26 Aug
ancient13–90.1626%24 Aug
dust213–4-0.0710%23 Aug
nuke13–4-0.0119%23 Aug
nuke10–130.0224%23 Aug
ancient15–15-0.0027%23 Aug
mirage11–130.0324%23 Aug
inferno10–13-0.1118%22 Aug
mirage1–13-0.0731%22 Aug
nuke10–13-0.0523%22 Aug
cache13–5-0.0323%21 Aug
inferno12–16-0.0436%21 Aug
anubis13–7-0.0226%21 Aug
mirage10–13-0.0315%21 Aug
nuke3–130.0227%21 Aug
ancient13–10-0.0514%19 Aug
dust27–13-0.0121%19 Aug
ancient13–11-0.0220%19 Aug
anubis13–60.0317%19 Aug
ancient13–110.0636%18 Aug
inferno1–13-0.0838%18 Aug
nuke8–13-0.0831%18 Aug
anubis12–2-0.0132%18 Aug
inferno3–9-0.0521%18 Aug
ancient13–5-0.0214%18 Aug
mirage13–2-0.0221%18 Aug
cache13–30.0936%17 Aug
anubis3–13-0.0725%17 Aug
anubis13–4-0.0036%16 Aug
mirage11–13-0.0531%16 Aug
anubis10–130.0330%15 Aug
nuke13–11-0.0029%14 Aug
mirage12–16-0.0629%14 Aug
mirage13–30.0039%13 Aug
anubis10–13-0.0421%13 Aug
nuke13–3-0.0031%13 Aug
cache11–130.0127%12 Aug
inferno1–13-0.0420%11 Aug
anubis6–13-0.0121%11 Aug
nuke9–13-0.0622%11 Aug
mirage11–13-0.0521%11 Aug
mirage7–13-0.0722%9 Aug
mirage11–130.0631%9 Aug
inferno13–10-0.0436%9 Aug
mirage13–3-0.0223%8 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 →