MSLXF

MSLXF — CS2 Stats

76561199548430996[U:1:1588165268]Steam profile ↗✓ No bans

208Tracked matches54%Win rate2026Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating14,072Blue band · top ~33.3% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (5 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.

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. 21 days played since 24 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,072 +135 24 Aug15 Sept · 6 days played
13,69814,154peak 14,15424 Aug15 Sept
14,287Peak Premier in tracked matches
21Days played since 2026-08-24

Premier CS Rating

  • 82 below peak (14,154)
  • Next: Purple band at 15,000 928 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGMSLXFPREMIER14,072 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning61
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY53398Last 10053%Win rateTLWWWLWLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.3pp headshot accuracy · +16ms 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

  • 311 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 527ms

Last 10

  • 631 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 527ms

Last 20

  • 1271 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 518ms

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 (+1.6 against its own average).

Aim6.6
Utility4.1
Positioning6.1
Opening Duels3.4

Strong CT-side opener

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 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms 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

Aim6.6
Positioning6.1
Utility4.1
Mechanics5.6
Opening Duels3.5
Win Impact6.2

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time542ms−1ms
first ⅓ avg 543ms → last ⅓ avg 542ms
Headshot accuracy18.6%+4.3%
first ⅓ avg 14.3% → last ⅓ avg 18.6%

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

0.44Best match rating · 9–2 · inferno, 4 Sept
42%Best headshot accuracy · 6–9 · inferno, 13 Sept
313msFastest reaction time · 1–9 · inferno, 12 Sept
13–0Biggest win · inferno, 5 Sept

Across the last 100 tracked matches.

Highlights

9Longest win streak
73In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 63% over 16infernoWeakest map · 50% over 52
MapGradePlayedRecordWin rateAvg rating
infernoB52262650%0.03
ancientA2012860%0.02
anubisA1610663%0.05
dust2B84450%0.02
nuke2020%0.01
mirage21150%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 52). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.3%Headshot accuracy
34.2%Accuracy (enemy spotted)
38.0%Spray accuracy
75.1%Counter-strafing
10.2°Preaim
560msReaction time
34.7%T opening success
53.0%CT opening success
0.42Enemies flashed / flash
2.2%Flash assists
8.97HE damage / grenade
8.05Flashes / 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. 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 0.4239 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 34.6787% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno8–80.1417%18 Sept
inferno4–9-0.2111%18 Sept
inferno9–30.2012%18 Sept
inferno13–4-0.0012%18 Sept
anubis13–30.0911%18 Sept
ancient7–13-0.0627%18 Sept
inferno13–70.0318%16 Sept
anubis6–13-0.0213%16 Sept
dust213–110.0227%15 Sept
ancient16–14-0.0321%15 Sept
dust213–100.0121%14 Sept
inferno4–9-0.1225%14 Sept
inferno9–30.2433%14 Sept
ancient13–6-0.0115%14 Sept
inferno9–40.099%13 Sept
inferno6–9-0.0615%13 Sept
dust25–13-0.0113%13 Sept
ancient4–13-0.0018%13 Sept
anubis13–60.024%13 Sept
anubis13–20.0712%13 Sept
inferno9–20.1126%13 Sept
inferno4–9-0.0924%13 Sept
inferno6–9-0.0142%13 Sept
ancient8–130.0020%13 Sept
anubis13–20.1517%13 Sept
inferno7–130.0710%13 Sept
inferno12–120.0220%12 Sept
ancient13–40.0919%12 Sept
inferno6–9-0.0923%12 Sept
inferno5–9-0.0916%12 Sept
inferno1–9-0.1929%12 Sept
ancient11–13-0.0317%11 Sept
anubis13–110.0316%11 Sept
inferno6–13-0.058%11 Sept
inferno10–13-0.0512%10 Sept
dust212–120.0323%10 Sept
nuke8–130.0414%9 Sept
inferno8–130.0131%9 Sept
inferno3–9-0.0217%9 Sept
inferno7–90.1010%9 Sept
anubis13–90.0414%9 Sept
inferno5–130.008%9 Sept
ancient13–50.0711%9 Sept
inferno9–60.0021%6 Sept
inferno9–20.1323%6 Sept
inferno9–60.0312%6 Sept
ancient5–130.0415%6 Sept
inferno13–80.0410%6 Sept
anubis9–13-0.0520%6 Sept
inferno9–40.1929%6 Sept
inferno8–80.0418%6 Sept
ancient13–60.0711%5 Sept
anubis13–100.1212%5 Sept
inferno13–00.105%5 Sept
inferno9–50.2012%4 Sept
inferno9–10.2425%4 Sept
inferno9–70.0817%4 Sept
inferno9–20.447%4 Sept
inferno9–30.1519%4 Sept
ancient13–70.0615%4 Sept
inferno12–12-0.0220%4 Sept
anubis13–40.0315%4 Sept
inferno2–9-0.2021%3 Sept
inferno13–110.1019%3 Sept
anubis8–130.0413%3 Sept
ancient13–40.0815%3 Sept
inferno13–9-0.0210%2 Sept
anubis12–120.0412%2 Sept
ancient13–40.079%2 Sept
dust29–13-0.0520%2 Sept
inferno16–120.0111%2 Sept
dust213–110.0814%2 Sept
inferno1–9-0.109%2 Sept
mirage13–80.0615%31 Aug
inferno1–13-0.0920%31 Aug
ancient13–50.0817%31 Aug
dust212–120.017%31 Aug
ancient12–12-0.0111%31 Aug
inferno2–60.0923%31 Aug
ancient9–13-0.0422%30 Aug
inferno13–50.0013%30 Aug
ancient13–9-0.053%29 Aug
anubis4–13-0.0411%29 Aug
inferno8–130.0513%29 Aug
inferno13–80.0514%28 Aug
anubis10–130.0416%28 Aug
inferno13–5-0.0411%27 Aug
anubis13–40.0616%27 Aug
dust213–50.0418%27 Aug
inferno9–20.128%26 Aug
inferno7–90.0221%26 Aug
inferno9–7-0.029%26 Aug
inferno4–13-0.057%24 Aug
ancient10–130.0120%24 Aug
anubis13–30.1918%24 Aug
ancient13–7-0.0511%24 Aug
ancient13–30.039%24 Aug
nuke9–13-0.0321%24 Aug
mirage6–13-0.0221%24 Aug
inferno13–70.0121%24 Aug

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →