ValiuM.1337

ValiuM.1337 — CS2 Stats

BE76561197974229014[U:1:13963286]Steam profile ↗✓ No bans

1,123Tracked matches61%Win rate2025Tracked since
889Hours in CS58Hrs last 2 wks
CSDB Rating3.9 LearningClutch Specialist
Premier CS Rating12,404Blue band · top ~42.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 12,404 -569 1 Nov – 13 Nov · 5 days played
12,40412,973peak 12,9731 Nov13 Nov
13,177Peak Premier in tracked matches
16Days played since 2026-10-30

Premier CS Rating

  • 569 below peak (12,973)
  • Next: Purple band at 15,000 — 2,596 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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate38.4%42.7%43.8%5.4% short
Shot accuracy0.0%11.2%12.0%12.0% short
Kill/death ratio0.900.991.020.12 short
Match win rate54.6%43.9%44.7%above

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGValiuM.1337FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,404 · Blue bandcsdb.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

Aim50
Positioning32
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY60–33–7Last 10060%Win rateWLLWWTWLWT

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −5.3pp headshot accuracy · −56ms reaction

Win rate down 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 492ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 538ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 566ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.2 against its own average).

Aim5.0
Utility2.9
Positioning3.2
Opening Duels0.0
Clutch3.6

Strong CT-side openerLimited utility dependence

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 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 38% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0
Positioning3.2
Utility2.9
Mechanics3.7
Opening Duels1.0
Win Impact8.6

Composite 3.9/10 (Learning), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time577ms+24ms
first ⅓ avg 552ms → last ⅓ avg 577ms
Headshot accuracy15.8%+1.4%
first ⅓ avg 14.4% → last ⅓ avg 15.8%

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

0.14Best match rating · 13–0 · nuke, 4 Nov →
50%Best headshot accuracy · 13–6 · train, 12 Nov →
406msFastest reaction time · 7–1 · mirage, 4 Nov →
13–0Biggest win · nuke, 5 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak

Map breakdown

mirageBest map · 78% over 9infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B158–753%-0.03
trainA138–562%0.00
cacheA138–562%-0.02
infernoC104–640%-0.03
nukeB105–550%-0.01
mirageS97–278%-0.02
anubisS97–278%-0.03
ancientS96–367%-0.02
overpassA85–363%-0.03
office—22–0100%0.02
vertigo—10–10%-0.03
poseidon—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,467Lifetime kills
0.90K/D
1,534Matches
54.6%Match win rate · Top 5% of Level 4 players
38.4%Headshot %
0.0%Shot accuracy
2,465MVPs
553Hours (in match)
1,638Bombs planted
397Bombs defused

Most-used weapons

Lifetime map wins

4,104dust2
1,698inferno
1,356nuke
983train
246vertigo
152office
13italy
6ar_shoots

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

Faceit stats

Combat

46Matches
48%Win rate
0.80Avg K/D
59.1ADR
36%Headshot %

Clutches & streaks

38%1v1 clutch win
14%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1020%0.7212.3
Dust2862%0.869.4
Cache633%0.7711.8
Ancient667%0.9810.8
Mirage540%0.809.6
Anubis560%0.9712.0
Nuke580%0.6410.8
Vertigo10%0.265.0

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.

15.3%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.7%Spray accuracy
66.6%Counter-strafing
11.0°Preaim
570msReaction time
15.7%T opening success
37.8%CT opening success
0.38Enemies flashed / flash
4.1%Flash assists
4.71HE damage / grenade
2.64Flashes / 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 0.384 — 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 15.7313% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.0013%14 Nov →
dust28–13-0.056%13 Nov →
mirage10–13-0.1110%13 Nov →
anubis13–4-0.036%13 Nov →
train13–70.025%13 Nov →
train12–12-0.0017%13 Nov →
nuke13–90.016%13 Nov →
nuke9–13-0.059%13 Nov →
overpass13–7-0.0614%13 Nov →
dust212–12-0.0540%13 Nov →
train13–6-0.0350%12 Nov →
dust213–9-0.066%12 Nov →
ancient9–130.0011%12 Nov →
nuke3–13-0.109%12 Nov →
dust213–100.0221%12 Nov →
mirage13–20.0314%12 Nov →
anubis13–3-0.0525%12 Nov →
anubis13–30.0110%12 Nov →
train10–130.0320%12 Nov →
anubis13–8-0.0213%11 Nov →
nuke9–13-0.0518%11 Nov →
cache13–10.1019%11 Nov →
ancient7–13-0.0218%11 Nov →
anubis3–13-0.090%11 Nov →
train13–20.0815%11 Nov →
mirage13–10-0.0213%11 Nov →
dust213–10-0.0614%10 Nov →
inferno5–13-0.0527%10 Nov →
ancient2–13-0.0721%10 Nov →
cache13–11-0.067%10 Nov →
dust212–12-0.0226%10 Nov →
nuke4–13-0.0617%10 Nov →
train4–13-0.0523%10 Nov →
dust23–130.0313%9 Nov →
cache13–8-0.0510%9 Nov →
train13–100.0417%9 Nov →
overpass13–9-0.029%9 Nov →
train6–13-0.0719%8 Nov →
ancient13–3-0.0013%8 Nov →
overpass13–10-0.0111%8 Nov →
overpass4–11-0.0517%8 Nov →
overpass13–60.0516%8 Nov →
overpass13–70.0216%8 Nov →
anubis13–70.0110%7 Nov →
dust28–13-0.016%7 Nov →
train13–40.0414%7 Nov →
nuke13–4-0.0418%7 Nov →
cache13–9-0.0323%7 Nov →
ancient13–20.0518%7 Nov →
dust29–13-0.0920%7 Nov →
dust26–13-0.046%7 Nov →
train13–9-0.0417%6 Nov →
cache12–120.009%6 Nov →
inferno10–13-0.0418%6 Nov →
nuke10–13-0.0716%6 Nov →
mirage13–8-0.058%5 Nov →
cache13–70.0216%5 Nov →
inferno12–120.013%5 Nov →
nuke13–00.1210%5 Nov →
anubis13–4-0.0113%5 Nov →
train13–30.0216%5 Nov →
cache3–13-0.0814%5 Nov →
ancient13–4-0.026%5 Nov →
overpass5–13-0.0712%5 Nov →
cache13–1-0.0813%5 Nov →
mirage5–13-0.0517%4 Nov →
ancient13–10-0.083%4 Nov →
dust213–10-0.0421%4 Nov →
inferno13–9-0.0416%4 Nov →
mirage7–10.046%4 Nov →
nuke13–00.1418%4 Nov →
train13–30.0313%3 Nov →
mirage13–4-0.0012%3 Nov →
nuke13–7-0.0219%3 Nov →
cache10–13-0.0413%3 Nov →
dust213–6-0.0611%3 Nov →
ancient13–10-0.0216%2 Nov →
mirage13–5-0.0317%2 Nov →
train12–12-0.059%2 Nov →
cache8–13-0.066%2 Nov →
dust213–11-0.0117%2 Nov →
inferno7–13-0.0519%2 Nov →
vertigo9–13-0.0319%2 Nov →
inferno0–7-0.0711%2 Nov →
office13–9-0.0613%2 Nov →
office13–60.1020%2 Nov →
inferno12–50.0227%2 Nov →
ancient13–0-0.0114%2 Nov →
mirage13–00.0417%2 Nov →
poseidon6–9-0.098%2 Nov →
inferno10–13-0.0221%1 Nov →
cache13–30.0119%1 Nov →
cache7–130.0413%1 Nov →
dust213–8-0.0112%1 Nov →
anubis11–13-0.0712%1 Nov →
anubis13–8-0.0115%1 Nov →
cache13–10-0.0313%1 Nov →
inferno13–10-0.0517%31 Oct →
overpass12–12-0.059%30 Oct →
dust213–11-0.035%30 Oct →

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 →

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