1sm4

1sm4 — CS2 Stats

ES76561198220067099[U:1:259801371]Steam profile ↗✓ No bans

2,902Tracked matches52%Win rate2020Tracked since
CSDB Rating6.5 SolidSupport
CSDB Leaderboard#91943 of 259637 tracked
FaceitLevel 10 · 2,461 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,563 -3,022 14 Oct – 24 May · 10 days played
19,56323,909peak 23,90914 Oct24 May
24,029Peak Premier in tracked matches
2,461Highest Faceit ELO seen on CSDB
66Days played since 2025-05-28

Faceit ELO

  • At peak — 2,461
  • Next: 2,500 ELO at 2,500 — 39 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

Share this profile

CSDB.GG1sm4FACEITLevel 10 · 2,461 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,461csdb.gg/stats

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Performance scores

Aim81
Positioning61
Utility61

0–100 skill scores via Leetify.

Recent form

HOT52–44–4Last 10052%Win rateWLWWWWWWLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −8.2pp headshot accuracy · +36ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 645ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 613ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 595ms

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 (+1.1 against its own average).

Aim8.1
Utility6.1
Positioning6.1
Opening Duels4.3
Clutch3.4

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

Twistzz

Plays most like Twistzz 97% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 618ms 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
Positioning6.1
Utility6.1
Mechanics6.7
Opening Duels4.1
Win Impact5.6

Composite 6.5/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time618ms−43ms
first ⅓ avg 661ms → last ⅓ avg 618ms
Headshot accuracy27.6%+2.3%
first ⅓ avg 25.3% → last ⅓ avg 27.6%

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

0.23Best match rating · 13–3 · ancient, 17 Oct →
48%Best headshot accuracy · 10–13 · inferno, 17 May →
438msFastest reaction time · 7–13 · anubis, 17 Aug →
13–2Biggest win · dust2, 23 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 73% over 15mirageWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
ancientB189–950%0.02
dust2C167–944%0.03
infernoS1511–473%0.03
overpassB136–746%0.03
nukeB136–746%0.01
mirageC125–742%-0.00
anubisB63–350%-0.02
train—32–167%0.02
cache—22–0100%0.06
warden—11–0100%0.12
vertigo—10–10%0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,769Matches
51%Win rate
1.10Avg K/D
73.4ADR
54%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient58954%1.1115.5
Inferno32253%1.1315.6
Anubis25050%1.0515.0
Dust225046%0.9313.0
Mirage22743%0.9915.3
Vertigo13556%1.1717.2
Nuke8851%1.0015.7
Train3247%0.9014.3

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.

27.8%Headshot accuracy
35.5%Accuracy (enemy spotted)
40.6%Spray accuracy
80.0%Counter-strafing
9.8°Preaim
618msReaction time
45.8%T opening success
47.0%CT opening success
0.56Enemies flashed / flash
6.3%Flash assists
8.03HE damage / grenade
11.36Flashes / match

Recommended for you

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–30.0514%12 Oct →
overpass5–130.0524%11 Oct →
nuke13–9-0.0122%7 Oct →
inferno13–90.0637%23 Sept →
dust213–20.0920%23 Sept →
inferno13–40.1629%23 Sept →
nuke22–20-0.0421%10 Sept →
mirage13–110.0830%9 Sept →
anubis7–13-0.0226%31 Aug →
mirage1–13-0.0514%18 Aug →
anubis7–13-0.0331%17 Aug →
inferno13–80.0330%17 Aug →
mirage12–12-0.0622%19 Jul →
ancient19–22-0.0424%14 Jul →
ancient13–50.0334%14 Jul →
nuke13–11-0.0129%15 Jun →
dust211–13-0.0624%31 May →
inferno13–90.0843%24 May →
dust210–130.2243%20 May →
overpass10–130.0738%18 May →
mirage4–13-0.0318%18 May →
dust22–13-0.0225%17 May →
inferno10–13-0.0248%17 May →
dust213–90.1021%15 May →
nuke8–130.0427%15 May →
cache13–70.0736%14 May →
dust213–160.0325%14 May →
ancient4–130.0228%14 May →
inferno13–110.0326%10 May →
ancient13–70.0321%4 Apr →
mirage13–16-0.0122%31 Mar →
nuke13–70.0328%21 Mar →
overpass13–9-0.0132%20 Mar →
dust211–13-0.0136%12 Mar →
ancient11–13-0.0718%15 Feb →
overpass13–70.0534%14 Feb →
nuke7–13-0.0030%1 Feb →
ancient13–20.0323%1 Feb →
overpass13–5-0.0228%1 Feb →
ancient13–10-0.0126%1 Feb →
dust213–80.0722%1 Feb →
nuke13–90.0937%31 Jan →
ancient7–13-0.0231%30 Jan →
inferno14–16-0.0213%29 Jan →
mirage12–16-0.0228%29 Jan →
overpass9–130.0332%26 Jan →
warden13–30.1245%22 Jan →
overpass2–130.0434%14 Jan →
dust26–130.0243%12 Jan →
overpass5–13-0.0220%12 Jan →
ancient4–13-0.0320%11 Jan →
mirage13–110.0423%8 Jan →
ancient9–130.0124%23 Dec →
inferno13–5-0.0028%16 Dec →
train13–7-0.0226%6 Dec →
overpass13–40.1344%6 Dec →
inferno16–140.0625%19 Nov →
dust213–30.0823%13 Nov →
dust216–14-0.0117%11 Nov →
nuke10–130.0423%31 Oct →
inferno13–160.0524%22 Oct →
overpass9–130.0028%17 Oct →
ancient13–30.2341%17 Oct →
dust29–130.0118%16 Oct →
overpass13–110.0228%16 Oct →
nuke13–80.0535%15 Oct →
ancient16–13-0.0231%15 Oct →
mirage10–13-0.0019%15 Oct →
mirage13–80.0320%14 Oct →
overpass13–6-0.0718%14 Oct →
mirage13–11-0.0224%14 Oct →
dust213–100.0228%14 Oct →
ancient13–70.0130%14 Oct →
dust28–13-0.0730%14 Oct →
inferno13–90.0328%14 Oct →
inferno3–13-0.0840%30 Sept →
dust213–90.0533%29 Sept →
dust215–15-0.0127%13 Sept →
nuke9–13-0.0321%13 Sept →
nuke9–13-0.0516%21 Aug →
inferno13–7-0.0116%18 Aug →
anubis13–30.0619%18 Aug →
mirage12–12-0.0121%18 Aug →
inferno13–80.0429%30 Jul →
mirage13–30.0336%30 Jul →
vertigo12–120.1333%25 Jul →
ancient13–60.0329%25 Jul →
inferno13–60.0213%13 Jul →
anubis13–16-0.0617%7 Jul →
anubis13–90.0232%7 Jul →
train11–130.0316%6 Jul →
ancient11–130.038%4 Jul →
ancient7–130.0243%25 Jun →
train13–40.0544%11 Jun →
ancient10–130.0127%11 Jun →
nuke6–13-0.0122%10 Jun →
nuke6–130.0122%4 Jun →
anubis13–9-0.0622%1 Jun →
ancient13–90.0224%1 Jun →
overpass7–130.0628%28 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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