valtteriix — CS2 Stats

76561198198707945[U:1:238442217]

1,977Tracked matches61%Win rate2021Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating14,159Blue band · top ~32.9% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (2 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: 14,159 -3,413 8 May – 8 Oct · 28 days played
14,15919,999peak 19,9998 May8 Oct
19,999Peak Premier in tracked matches
45Days played since 2026-05-05

Premier CS Rating

  • 5,840 below peak (19,999)
  • -3,720 over 30 days · declining
  • -4,438 over 90 days
  • Next: Purple band at 15,000 — 841 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

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

Share this profile

CSDB.GGvaltteriixFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,159 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning51
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWLWLWLWLWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +3.6pp headshot accuracy · +34ms reaction

Win rate −10pp 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 12%
  • Avg reaction 648ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 663ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 646ms

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).

Aim7.7
Utility5.4
Positioning5.1
Opening Duels3.4
Clutch2.6

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

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 655ms 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
Positioning5.1
Utility5.4
Mechanics6.5
Opening Duels3.8
Win Impact8.6

Composite 6.0/10 (Solid), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time658ms−20ms
first ⅓ avg 678ms → last ⅓ avg 658ms
Headshot accuracy14.0%−2.1%
first ⅓ avg 16.1% → last ⅓ avg 14.0%

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 · 13–2 · cache, 26 May →
33%Best headshot accuracy · 10–3 · mirage, 2 Jul →
445msFastest reaction time · 10–13 · inferno, 22 Jul →
13–1Biggest win · overpass, 8 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 70% over 10cacheWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A2011–955%-0.00
infernoC177–1041%-0.00
cacheC135–838%-0.01
mirageB126–650%-0.01
nukeS107–370%-0.01
anubisB84–450%-0.01
ancientC83–538%-0.01
office—31–233%-0.02
train—31–233%-0.05
overpass—21–150%0.03
vertigo—21–150%-0.04
italy—10–10%0.04
alpine—11–0100%0.12

Across the last 100 tracked matches.

Faceit stats

Combat

90Matches
54%Win rate
1.14Avg K/D
77.3ADR
42%Headshot %

Clutches & streaks

33%1v1 clutch win
36%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1916%0.8715.8
Anubis1567%1.6918.0
Inferno1450%0.9713.7
Nuke1275%1.1716.3
Dust21040%1.1613.6
Vertigo1060%1.1218.3
Ancient9100%0.9914.0
Overpass1100%1.2018.0

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.

13.8%Headshot accuracy
40.4%Accuracy (enemy spotted)
42.0%Spray accuracy
79.2%Counter-strafing
7.1°Preaim
655msReaction time
39.5%T opening success
50.9%CT opening success
0.61Enemies flashed / flash
4.9%Flash assists
7.81HE damage / grenade
6.17Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.848% — below the 15% mark we flag

    Aim Training →
  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 39.4739% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno16–130.0717%8 Oct →
mirage4–13-0.035%8 Oct →
dust213–50.0214%29 Sept →
dust28–13-0.0211%29 Sept →
anubis13–30.0214%29 Sept →
nuke11–13-0.0117%29 Sept →
inferno13–90.0514%29 Sept →
dust24–13-0.0425%28 Sept →
inferno13–40.0616%28 Sept →
dust213–90.0522%23 Sept →
dust213–110.128%21 Sept →
dust25–13-0.0115%16 Sept →
dust213–60.0921%15 Sept →
dust213–11-0.037%14 Sept →
anubis13–11-0.006%12 Sept →
office13–6-0.0325%11 Sept →
anubis6–13-0.057%11 Sept →
inferno13–90.0016%11 Sept →
mirage13–60.055%9 Sept →
dust27–13-0.049%9 Sept →
dust213–9-0.0213%8 Sept →
mirage12–12-0.0115%6 Sept →
italy5–130.0411%6 Sept →
nuke13–11-0.0829%2 Sept →
inferno10–130.0419%2 Sept →
train5–13-0.0611%1 Sept →
cache12–12-0.0311%1 Sept →
dust213–80.0713%1 Sept →
nuke13–10-0.037%1 Sept →
mirage7–13-0.0915%1 Sept →
dust216–14-0.0015%1 Sept →
ancient3–13-0.0414%28 Aug →
dust25–13-0.0518%28 Aug →
nuke15–150.0414%27 Aug →
dust27–13-0.0320%27 Aug →
mirage16–12-0.039%27 Aug →
ancient6–13-0.0918%27 Aug →
cache3–13-0.069%26 Aug →
ancient13–70.0721%26 Aug →
nuke5–130.0210%26 Aug →
dust211–13-0.0413%26 Aug →
train13–3-0.023%26 Aug →
inferno7–13-0.0118%26 Aug →
inferno5–130.066%16 Aug →
nuke13–30.0318%6 Aug →
dust27–13-0.0822%3 Aug →
dust213–7-0.0322%29 Jul →
overpass5–13-0.0527%27 Jul →
inferno11–13-0.0217%27 Jul →
cache13–70.0423%27 Jul →
mirage11–130.0012%27 Jul →
inferno5–13-0.0014%25 Jul →
mirage4–13-0.009%25 Jul →
mirage8–13-0.0418%24 Jul →
office12–12-0.0218%23 Jul →
cache7–130.0114%23 Jul →
nuke13–10-0.0117%23 Jul →
dust210–6-0.0123%23 Jul →
mirage13–10-0.0119%23 Jul →
inferno10–13-0.006%23 Jul →
inferno10–13-0.1213%22 Jul →
inferno13–8-0.0413%16 Jul →
anubis13–8-0.008%16 Jul →
inferno7–130.0022%16 Jul →
cache13–80.048%11 Jul →
inferno5–13-0.0416%11 Jul →
nuke13–9-0.0413%11 Jul →
inferno3–13-0.0620%11 Jul →
inferno13–90.0419%11 Jul →
ancient13–4-0.0231%11 Jul →
anubis13–60.0614%10 Jul →
dust20–13-0.036%10 Jul →
cache10–13-0.118%10 Jul →
inferno13–10-0.0620%10 Jul →
train3–13-0.0717%8 Jul →
cache9–5-0.0813%8 Jul →
anubis7–13-0.0613%8 Jul →
overpass13–10.1110%8 Jul →
alpine13–20.1217%8 Jul →
ancient9–13-0.0418%8 Jul →
mirage13–40.0020%2 Jul →
mirage10–30.0633%2 Jul →
ancient6–13-0.0123%2 Jul →
cache13–8-0.0221%1 Jul →
ancient13–110.0310%30 Jun →
vertigo13–60.0219%24 Jun →
anubis12–120.0213%24 Jun →
ancient12–12-0.0013%24 Jun →
nuke13–110.0310%24 Jun →
cache1–13-0.0513%24 Jun →
dust213–110.0517%9 Jun →
vertigo11–13-0.109%3 Jun →
anubis9–13-0.0720%29 May →
cache13–20.1219%26 May →
cache3–130.014%22 May →
office10–13-0.0114%19 May →
cache8–13-0.0114%12 May →
cache8–13-0.0422%11 May →
nuke13–11-0.0221%8 May →
mirage13–7-0.0310%5 May →

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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