Skef

Skef — CS2 Stats

FI76561198048853257[U:1:88587529]Steam profile ↗✓ No bans

814Tracked matches52%Win rate2020Tracked since
3,252Hours in CS1Hrs last 2 wks
CSDB Rating6.0 SolidSupport
CSDB Leaderboard#66495 of 260001 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,275 -388 7 Nov – 8 May · 23 days played
19,52722,276peak 22,2767 Nov8 May
22,276Peak Premier in tracked matches
47Days played since 2025-11-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim81
Positioning48
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateLWWWLWLTLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +1.2pp headshot accuracy · +8ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 590ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 585ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 581ms

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 (+1.3 against its own average).

Aim8.1
Utility5.6
Positioning4.8
Opening Duels1.2
Clutch5.6

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 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 599ms 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

Aim8.1
Positioning4.8
Utility5.6
Mechanics8.0
Opening Duels0.5
Win Impact5.6

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time616ms+10ms
first ⅓ avg 606ms → last ⅓ avg 616ms
Headshot accuracy15.3%−2.1%
first ⅓ avg 17.5% → last ⅓ avg 15.3%

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

0.12Best match rating · 13–6 · ancient, 8 May →
29%Best headshot accuracy · 9–13 · anubis, 28 Jan →
375msFastest reaction time · 13–7 · anubis, 11 Feb →
13–0Biggest win · ancient, 31 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 70% over 20mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
ancientA2012–860%0.02
infernoS2014–670%0.02
anubisB209–1145%0.02
mirageD113–827%-0.02
overpassC83–538%0.01
dust2B84–450%0.01
nukeS64–267%-0.01
cacheC52–340%-0.03
train—22–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

115,732Lifetime kills
1.00K/D
4,715Matches
40.7%Match win rate
48.0%Headshot % · Top 50% of tracked players
13.0%Shot accuracy · Top 50% of tracked players
11,289MVPs
2,289Hours (in match)
3,456Bombs planted
1,251Bombs defused

Most-used weapons

AK-4743,743
AWP15,145
P2502,896
Tec-91,756
MP91,331

Lifetime map wins

7,911inferno
3,779dust2
1,657nuke
1,279vertigo
1,106cbble
877train
109office
97assault

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

Faceit stats

Combat

52Matches
63%Win rate
1.27Avg K/D
87.8ADR
43%Headshot %

Clutches & streaks

48%1v1 clutch win
26%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis888%1.3519.6
Mirage650%1.3016.5
Ancient475%2.1519.5
Inferno450%0.9616.8
Vertigo250%1.0618.5
Dust210%0.6312.0
Nuke1100%1.3320.0

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.

15.6%Headshot accuracy
36.9%Accuracy (enemy spotted)
44.5%Spray accuracy
86.0%Counter-strafing
8.4°Preaim
599msReaction time
25.7%T opening success
33.9%CT opening success
0.55Enemies flashed / flash
4.5%Flash assists
8.11HE damage / grenade
9.54Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.7282% — below the 40% mark we flag

Spend your practice time on Mirage

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0416%30 Oct →
ancient13–30.0216%4 Sept →
nuke13–100.0325%23 Aug →
mirage13–10.0214%23 Aug →
mirage5–13-0.0913%18 Jul →
inferno13–80.0119%18 Jul →
cache7–13-0.0425%18 Jul →
cache12–12-0.0613%17 Jun →
anubis10–130.0216%8 May →
overpass11–13-0.039%8 May →
ancient13–60.127%8 May →
mirage13–160.0112%2 May →
cache13–8-0.0216%1 May →
cache13–9-0.0023%1 May →
cache4–13-0.0123%1 May →
overpass10–130.0519%17 Apr →
anubis2–13-0.0313%17 Apr →
nuke4–13-0.0212%17 Apr →
anubis13–10.0913%5 Apr →
ancient14–16-0.0016%5 Apr →
mirage13–6-0.0123%5 Apr →
anubis14–16-0.0110%2 Apr →
inferno13–40.0612%2 Apr →
overpass16–14-0.0014%31 Mar →
ancient13–00.0813%31 Mar →
mirage8–13-0.0415%27 Mar →
inferno13–40.0112%1 Mar →
dust213–9-0.0118%20 Feb →
mirage1–13-0.0911%17 Feb →
dust28–20.0325%17 Feb →
ancient1–10-0.088%17 Feb →
inferno13–60.1010%12 Feb →
ancient13–80.0516%11 Feb →
anubis13–70.025%11 Feb →
inferno13–110.0316%10 Feb →
mirage11–13-0.0513%10 Feb →
inferno8–130.0118%8 Feb →
dust27–13-0.0318%8 Feb →
anubis9–130.0111%7 Feb →
ancient11–130.0122%5 Feb →
ancient13–50.0714%5 Feb →
anubis16–140.0411%5 Feb →
ancient13–50.0413%4 Feb →
inferno6–10.0718%4 Feb →
anubis13–90.0122%4 Feb →
inferno13–11-0.0314%3 Feb →
ancient15–150.009%3 Feb →
anubis13–10-0.0021%1 Feb →
dust213–11-0.0312%1 Feb →
overpass9–13-0.0118%1 Feb →
inferno11–13-0.0112%1 Feb →
ancient16–13-0.0110%29 Jan →
anubis9–130.1029%28 Jan →
inferno13–100.0414%27 Jan →
ancient13–50.1027%27 Jan →
anubis13–7-0.018%27 Jan →
ancient13–30.0717%27 Jan →
anubis13–80.0226%23 Jan →
dust213–20.0823%23 Jan →
overpass10–130.0019%23 Jan →
ancient6–13-0.0111%23 Jan →
anubis11–13-0.049%23 Jan →
inferno13–70.0119%22 Jan →
anubis10–130.0713%22 Jan →
dust27–13-0.0115%19 Jan →
inferno13–30.0716%19 Jan →
nuke10–4-0.0028%19 Jan →
ancient6–13-0.059%19 Jan →
mirage12–120.0817%17 Jan →
anubis13–100.0123%17 Jan →
nuke13–110.0619%16 Jan →
ancient8–130.0413%16 Jan →
anubis10–130.0320%15 Jan →
overpass13–160.0311%15 Jan →
anubis12–120.0923%14 Jan →
inferno13–40.0627%14 Jan →
inferno4–13-0.1014%13 Jan →
anubis13–8-0.0126%13 Jan →
overpass13–10.0216%12 Jan →
train13–11-0.0217%12 Jan →
dust212–120.0117%11 Jan →
ancient16–130.0011%9 Jan →
ancient13–4-0.0116%9 Jan →
nuke4–13-0.0721%6 Jan →
inferno15–150.0111%6 Jan →
mirage14–16-0.0412%6 Jan →
ancient13–11-0.0314%5 Jan →
inferno13–40.0926%4 Jan →
nuke13–8-0.0427%4 Jan →
inferno11–13-0.0524%4 Jan →
ancient5–130.0221%26 Dec →
anubis2–13-0.0211%26 Dec →
inferno3–13-0.047%26 Dec →
dust212–120.0220%28 Nov →
inferno13–100.1127%21 Nov →
train13–2-0.0214%15 Nov →
inferno13–70.0120%15 Nov →
anubis8–13-0.0215%15 Nov →
mirage13–20.0622%15 Nov →
overpass13–80.019%7 Nov →

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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