ツ OneMoreCawfee

ツ OneMoreCawfee — CS2 Stats

76561198998652174[U:1:1038386446]Steam profile ↗✓ No bans

2,435Tracked matches55%Win rate2020Tracked since
1,635Hours in CS
CSDB Rating4.9 DevelopingSupport
FaceitLevel 7 · 1,478 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,528 -1,777 1 Sept – 5 Nov · 12 days played
15,52818,428peak 18,4281 Sept5 Nov
19,163Peak Premier in tracked matches
1,478Highest Faceit ELO seen on CSDB
37Days played since 2025-09-01

Faceit ELO

  • At peak — 1,478
  • Next: Level 8 at 1,531 — 53 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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 7 among CSDB-tracked players (n=13,885), 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 7 medianLevel 8 medianvs Level 8
Headshot rate35.4%45.7%46.8%11.4% short
Shot accuracy11.1%12.7%13.0%1.9% short
Kill/death ratio1.081.051.06meets
Match win rate43.8%45.7%46.3%2.5% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGツ OneMoreCawfeeFACEITLevel 7 · 1,478 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,478csdb.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

Aim53
Positioning55
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateWLWLTLLLWW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −0.7pp headshot accuracy · +9ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 561ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 593ms

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 (+1.5 against its own average).

Aim5.3
Utility6.6
Positioning5.5
Opening Duels4.4
Clutch3.8

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 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 573ms 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

Aim5.3
Positioning5.5
Utility6.6
Mechanics5.2
Opening Duels3.4
Win Impact6.7

Composite 4.9/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time589ms−17ms
first ⅓ avg 606ms → last ⅓ avg 589ms
Headshot accuracy14.6%−2.8%
first ⅓ avg 17.4% → last ⅓ avg 14.6%

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

0.26Best match rating · 13–4 · overpass, 21 Oct →
34%Best headshot accuracy · 13–5 · inferno, 17 Sept →
375msFastest reaction time · 3–13 · office, 29 May →
13–1Biggest win · office, 26 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–2In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 83% over 6infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
officeA1811–761%0.03
infernoD144–1029%0.00
nukeA116–555%0.00
ancientC114–736%-0.02
mirageS75–271%0.02
vertigoD62–433%0.02
trainS65–183%0.06
overpassB63–350%0.06
italy—43–175%0.09
palacio—43–175%0.10
dust2—32–167%0.03
warden—21–150%-0.05
golden—21–150%0.04
agency—20–20%0.04
grail—21–150%0.02
cache—11–0100%0.09
stronghold—11–0100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,874Lifetime kills
1.08K/D · Top 50% of Level 7 players
3,852Matches
43.8%Match win rate
35.4%Headshot %
11.1%Shot accuracy
8,992MVPs
1,635Hours (in match)
3,786Bombs planted
1,345Bombs defused

Most-used weapons

AK-4720,565
AWP14,206
MP91,930
SSG 081,914
P2501,651

Lifetime map wins

5,891inferno
4,107dust2
3,207office
3,066nuke
2,468vertigo
866train
146safehouse
139lake

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

Faceit stats

Combat

676Matches
49%Win rate
1.17Avg K/D
81.5ADR
27%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8641%1.1916.2
Ancient4842%1.0214.7
Nuke4553%1.2216.2
Overpass4058%1.3018.3
Anubis3730%1.1315.9
Vertigo3438%1.1715.1
Inferno3060%1.0115.2
Dust21963%1.2417.6

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.

14.4%Headshot accuracy
33.9%Accuracy (enemy spotted)
33.6%Spray accuracy
73.2%Counter-strafing
11.4°Preaim
573msReaction time
41.5%T opening success
45.9%CT opening success
0.65Enemies flashed / flash
6.0%Flash assists
12.71HE damage / grenade
9.89Flashes / 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 14.4476% — below the 15% mark we flag

    Aim Training →
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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.0912%29 May →
office3–130.0213%29 May →
italy9–30.0114%7 Apr →
warden2–13-0.0718%7 Apr →
vertigo12–12-0.0115%7 Apr →
office2–130.0119%7 Apr →
office5–13-0.0411%7 Apr →
office7–13-0.0411%23 Mar →
warden13–5-0.0217%23 Mar →
stronghold5–4-0.0619%23 Mar →
office13–50.1231%23 Mar →
inferno9–13-0.0216%28 Dec →
inferno6–13-0.0227%3 Dec →
office13–70.0511%7 Nov →
inferno7–130.026%6 Nov →
train13–110.1816%6 Nov →
train13–60.048%5 Nov →
dust25–13-0.0318%5 Nov →
nuke6–13-0.0717%30 Oct →
office13–50.114%29 Oct →
inferno13–11-0.0115%28 Oct →
nuke16–13-0.086%23 Oct →
office13–10-0.0214%21 Oct →
nuke18–220.0116%21 Oct →
overpass13–40.2629%21 Oct →
nuke7–13-0.074%20 Oct →
inferno8–13-0.029%17 Oct →
mirage13–60.0516%17 Oct →
nuke13–110.0215%16 Oct →
mirage13–8-0.0116%14 Oct →
ancient11–13-0.135%8 Oct →
golden2–70.0024%7 Oct →
palacio13–40.1312%7 Oct →
overpass7–13-0.028%7 Oct →
dust213–70.0811%7 Oct →
mirage9–130.0114%7 Oct →
inferno13–80.0313%7 Oct →
train13–110.0412%7 Oct →
office13–110.0613%6 Oct →
palacio13–110.0812%4 Oct →
office13–30.0720%4 Oct →
palacio6–100.0910%3 Oct →
palacio13–70.0813%3 Oct →
golden13–110.0913%3 Oct →
office13–50.0411%30 Sept →
office13–40.0522%30 Sept →
office13–110.0315%30 Sept →
office6–13-0.0132%30 Sept →
vertigo8–13-0.0521%30 Sept →
mirage13–16-0.0022%28 Sept →
overpass6–13-0.028%28 Sept →
mirage13–50.0121%28 Sept →
office13–10.0919%26 Sept →
ancient15–15-0.0114%22 Sept →
overpass8–130.0419%21 Sept →
ancient7–20.0013%21 Sept →
inferno7–13-0.0010%21 Sept →
vertigo3–100.0914%21 Sept →
agency6–130.0733%19 Sept →
ancient13–5-0.0313%19 Sept →
inferno14–16-0.0213%19 Sept →
ancient8–130.0112%19 Sept →
office8–13-0.0110%19 Sept →
office13–4-0.0119%19 Sept →
italy13–70.2016%19 Sept →
vertigo13–20.0729%19 Sept →
grail3–13-0.0217%19 Sept →
inferno9–130.0020%19 Sept →
agency7–130.0118%18 Sept →
ancient4–13-0.0329%18 Sept →
grail13–100.069%18 Sept →
italy13–110.0713%17 Sept →
nuke12–120.0716%17 Sept →
inferno13–50.0434%17 Sept →
office12–12-0.017%17 Sept →
ancient13–70.0714%17 Sept →
ancient12–120.0217%17 Sept →
vertigo10–130.0120%16 Sept →
inferno7–13-0.0125%15 Sept →
train10–13-0.0413%15 Sept →
inferno3–13-0.0626%15 Sept →
nuke13–30.1014%15 Sept →
overpass13–20.0523%15 Sept →
vertigo13–70.0318%15 Sept →
train13–100.1013%15 Sept →
inferno6–130.0129%13 Sept →
overpass16–140.0823%13 Sept →
nuke13–80.0218%13 Sept →
nuke12–12-0.0214%7 Sept →
ancient13–8-0.016%7 Sept →
train13–90.0517%7 Sept →
nuke13–50.0319%6 Sept →
nuke13–80.019%6 Sept →
mirage13–60.1222%6 Sept →
dust213–80.0513%6 Sept →
mirage13–6-0.0210%6 Sept →
italy4–130.0812%2 Sept →
ancient4–13-0.0322%2 Sept →
inferno13–80.1218%2 Sept →
ancient2–13-0.0513%1 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.