screm

screm — CS2 Stats

SE76561198023213297[U:1:62947569]Steam profile ↗✓ No bans

2,811Tracked matches62%Win rate2020Tracked since
26,397Hours in CS
CSDB Rating6.8 SolidPositional Player
Premier CS Rating27,335Top 5% of 208,191 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#4652 of 255830 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Feb 2026 (261 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: 27,335 +768 17 Jan – 2 Feb · 5 days played
26,56727,395peak 27,39517 Jan2 Feb
27,395Peak Premier in tracked matches
52Days played since 2024-11-24

Premier CS Rating

  • 60 below peak (27,395)
  • Next: Gold band at 30,000 — 2,665 to go
  • Reached: Red band · Pink band · Purple band · 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 10 among CSDB-tracked players (n=30,061), 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 10 median
Headshot rate69.9%50.9%
Shot accuracy17.9%13.7%
Kill/death ratio0.791.09
Match win rate46.9%48.4%

Share this profile

CSDB.GGscremFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER27,335 · Red bandcsdb.gg/stats

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Performance scores

Aim77
Positioning57
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY62–36–2Last 10062%Win rateLLTWWWLWLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +1.7pp headshot accuracy · −41ms reaction

Win rate down 40pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 31%
  • Avg reaction 486ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 541ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 562ms

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 (+1.1 against its own average).

Aim7.7
Utility4.7
Positioning5.7
Opening Duels5.3
Clutch2.6

Effective flashes

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

jL

Plays most like jL 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower 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

Areas to improve

Reaction time. 578ms 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

Aim7.7
Positioning5.7
Utility4.7
Mechanics6.9
Opening Duels4.1
Win Impact9.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time580ms−31ms
first ⅓ avg 611ms → last ⅓ avg 580ms
Headshot accuracy27.1%−1.3%
first ⅓ avg 28.4% → last ⅓ avg 27.1%

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 · 13–3 · train, 5 Apr →
67%Best headshot accuracy · 5–13 · mirage, 20 Apr →
391msFastest reaction time · 8–13 · inferno, 24 Jan →
13–1Biggest win · dust2, 24 Jan →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
11–11In matches decided by ≤2 rounds
17Overtime games

Map breakdown

anubisBest map · 78% over 9mirageWeakest map · 48% over 23
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%0.00
ancientS2115–671%-0.01
nukeA148–657%0.01
infernoS139–469%0.00
anubisS97–278%0.02
overpassS86–275%0.01
dust2—32–167%0.02
train—21–150%0.09
aztec—10–10%-0.01
thera—11–0100%0.06
season_d_prefab—10–10%-0.07
cache_b—10–10%-0.03
palais—11–0100%0.02
vertigo—11–0100%0.04
whistle—10–10%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (48% over 23). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

432,164Lifetime kills
0.79K/D
7,226Matches
46.9%Match win rate
69.9%Headshot % · Top 5% of Level 10 players
17.9%Shot accuracy · Top 25% of Level 10 players
20,160MVPs
26,397Hours (in match)
6,524Bombs planted
1,837Bombs defused

Most-used weapons

AK-47273,752
AWP13,700
AUG7,937
Knife5,253
SG 5534,562
P2502,550

Lifetime map wins

10,241inferno
7,919dust2
4,579nuke
2,956train
1,927vertigo
282cbble
73lake
59dust

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

Faceit stats

Combat

3,248Matches
52%Win rate
1.08Avg K/D
77.9ADR
56%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage37753%1.0115.6
Ancient25353%1.0115.6
Anubis23655%1.0815.8
Nuke8650%1.0817.1
Inferno5654%1.0116.6
Overpass5056%1.3616.2
Dust23941%0.9414.2
Cache771%1.1416.1

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.

26.9%Headshot accuracy
31.2%Accuracy (enemy spotted)
35.0%Spray accuracy
81.2%Counter-strafing
9.3°Preaim
578msReaction time
39.5%T opening success
53.0%CT opening success
0.70Enemies flashed / flash
6.0%Flash assists
8.13HE damage / grenade
10.42Flashes / 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 39.4777% — 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.

48% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–130.0248%29 Aug →
mirage22–25-0.0017%27 Aug →
mirage15–15-0.0124%2 Feb →
overpass13–7-0.0119%28 Jan →
nuke13–70.0647%26 Jan →
ancient13–7-0.0029%25 Jan →
anubis9–13-0.0513%25 Jan →
ancient13–9-0.0227%25 Jan →
mirage12–16-0.0316%25 Jan →
nuke4–13-0.1026%25 Jan →
anubis16–130.0224%25 Jan →
dust210–13-0.0144%25 Jan →
mirage16–12-0.0324%25 Jan →
inferno8–130.0136%24 Jan →
anubis13–30.0916%24 Jan →
ancient13–3-0.0613%24 Jan →
mirage13–110.1021%24 Jan →
dust213–10.0620%24 Jan →
nuke13–11-0.0128%24 Jan →
ancient13–110.0022%24 Jan →
mirage13–3-0.0324%21 Jan →
inferno13–50.0315%17 Jan →
overpass11–130.0038%16 Jan →
overpass16–130.0230%16 Jan →
ancient11–13-0.0228%16 Jan →
mirage6–13-0.0541%16 Jan →
nuke16–130.0234%16 Jan →
mirage16–13-0.0225%16 Jan →
aztec14–16-0.0133%6 Dec →
thera13–110.0633%6 Dec →
season_d_prefab3–13-0.0713%5 Dec →
mirage2–13-0.0925%5 Dec →
nuke13–90.0244%5 Dec →
nuke13–160.0231%27 Nov →
mirage11–13-0.0119%27 Nov →
cache_b3–13-0.0323%25 Nov →
inferno13–6-0.0028%25 Nov →
mirage14–16-0.0520%25 Nov →
ancient16–12-0.0120%24 Nov →
overpass13–5-0.0121%24 Nov →
nuke5–13-0.1012%24 Nov →
nuke13–110.0220%23 Nov →
train10–130.0131%23 Nov →
ancient13–1-0.0325%23 Nov →
inferno13–8-0.0225%20 Nov →
mirage13–9-0.0035%20 Nov →
nuke13–10-0.0332%20 Nov →
overpass13–30.0624%19 Nov →
ancient11–13-0.0623%17 Nov →
mirage13–90.0018%12 Nov →
inferno13–100.0135%26 Oct →
inferno10–13-0.0520%22 Oct →
inferno16–14-0.0323%20 Oct →
inferno13–90.0125%15 Oct →
overpass13–60.0629%8 Oct →
ancient11–13-0.0130%6 Oct →
nuke17–19-0.0028%5 Oct →
mirage16–120.0228%4 Oct →
ancient13–70.0426%4 Oct →
nuke13–90.1135%4 Oct →
inferno16–130.0323%4 Oct →
overpass5–12-0.0139%1 Oct →
inferno6–13-0.0125%1 Oct →
ancient10–130.0125%1 Oct →
ancient13–110.0426%28 Sept →
mirage11–13-0.0118%28 Sept →
ancient13–30.0118%28 Sept →
mirage11–130.0131%27 Sept →
inferno19–160.0331%27 Sept →
ancient13–6-0.0324%27 Sept →
overpass13–70.0035%27 Sept →
ancient13–10-0.0530%22 Jul →
mirage13–20.0534%22 May →
mirage13–20.0721%19 May →
nuke5–90.0426%25 Apr →
inferno5–90.0230%22 Apr →
palais9–60.0243%22 Apr →
ancient13–40.0330%20 Apr →
mirage5–130.1267%20 Apr →
ancient13–5-0.0227%20 Apr →
anubis13–40.1026%19 Apr →
vertigo13–110.0431%19 Apr →
dust213–100.0227%19 Apr →
ancient9–13-0.0433%18 Apr →
mirage13–80.0324%15 Apr →
mirage13–60.0533%12 Apr →
train13–30.1834%5 Apr →
inferno13–11-0.0129%5 Apr →
whistle8–8-0.0718%1 Apr →
nuke9–30.0925%1 Apr →
anubis13–10-0.0221%1 Mar →
anubis13–30.0923%18 Feb →
ancient13–110.0033%13 Feb →
mirage9–13-0.0418%11 Feb →
ancient13–11-0.0119%23 Jan →
anubis13–70.0229%23 Jan →
anubis13–40.0431%21 Jan →
anubis6–13-0.0920%3 Dec →
nuke11–13-0.0521%29 Nov →
ancient7–13-0.0212%24 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.