XStiger

XStiger — CS2 Stats

QA76561199488765045[U:1:1528499317]Steam profile ↗✓ No bans

397Tracked matches50%Win rate2023Tracked since
1,344Hours in CS1Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating13,555Blue band · top ~36.1% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 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: 13,555 -3,268 17 Mar – 12 Nov · 41 days played
13,55519,613peak 19,61317 Mar12 Nov
19,613Peak Premier in tracked matches
48Days played since 2026-03-17

Premier CS Rating

  • 6,058 below peak (19,613)
  • -124 over 90 days
  • Next: Purple band at 15,000 — 1,445 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-09
  • Light Blue band first seen 2026-09-09

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 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate54.7%41.3%41.8%above
Shot accuracy4.9%12.7%12.2%7.2% short
Kill/death ratio0.990.950.98meets
Match win rate48.3%42.6%43.3%above

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGXStigerFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER13,555 · 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

Aim65
Positioning58
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWWWLLWWLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +0.9pp headshot accuracy · −17ms 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 -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 511ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 541ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 549ms

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 (+2.3 against its own average).

Aim6.5
Utility5.5
Positioning5.8
Opening Duels2.8
Clutch0.0

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.5
Positioning5.8
Utility5.5
Mechanics6.7
Opening Duels2.4
Win Impact5.0

Composite 5.4/10 (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 rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time546ms−62ms
first ⅓ avg 608ms → last ⅓ avg 546ms
Headshot accuracy22.7%+1.6%
first ⅓ avg 21.0% → last ⅓ avg 22.7%

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 · dust2, 27 Mar →
50%Best headshot accuracy · 9–3 · inferno, 8 Apr →
375msFastest reaction time · 0–11 · inferno, 25 Aug →
13–1Biggest win · dust2, 14 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
4–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 62% over 21anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2515–1060%0.01
dust2A2113–862%-0.01
infernoC156–940%-0.00
nukeB126–650%0.01
ancientA95–456%-0.00
cacheD93–633%0.00
anubisD51–420%-0.01
overpass—42–250%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,130Lifetime kills
0.99K/D · Top 50% of Level 2 players
476Matches
48.3%Match win rate · Top 25% of Level 2 players
54.7%Headshot % · Top 10% of Level 2 players
4.9%Shot accuracy
973MVPs
267Hours (in match)
189Bombs planted
138Bombs defused

Most-used weapons

Lifetime map wins

966dust2
565inferno
464nuke
161vertigo
104train
74office

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

Faceit stats

Combat

10Matches
30%Win rate
0.86Avg K/D
50.0ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

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.

22.1%Headshot accuracy
31.3%Accuracy (enemy spotted)
31.0%Spray accuracy
80.2%Counter-strafing
11.2°Preaim
549msReaction time
34.6%T opening success
44.9%CT opening success
0.60Enemies flashed / flash
6.0%Flash assists
10.23HE damage / grenade
17.43Flashes / 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 34.5833% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0114%12 Nov →
cache16–14-0.0416%24 Sept →
nuke13–80.0525%12 Sept →
anubis11–13-0.0723%25 Aug →
inferno0–11-0.0638%25 Aug →
dust213–80.0230%16 Aug →
dust213–1-0.0113%14 Aug →
dust22–13-0.0331%27 Jul →
nuke8–13-0.0122%27 Jul →
cache10–13-0.0221%27 Jul →
mirage13–60.0120%16 Jul →
ancient13–90.0120%16 Jul →
ancient8–13-0.0516%16 Jul →
mirage13–70.0529%16 Jul →
dust213–90.0630%16 Jul →
cache3–13-0.0628%16 Jul →
dust213–160.0119%15 Jul →
mirage16–130.0321%15 Jul →
nuke13–10.0413%15 Jul →
nuke16–120.0825%15 Jul →
mirage4–13-0.0515%14 Jul →
dust213–11-0.0025%13 Jul →
ancient14–16-0.0118%13 Jul →
cache8–130.0116%13 Jul →
mirage13–80.0422%10 Jul →
inferno11–130.0019%10 Jul →
dust211–130.0225%9 Jul →
dust215–15-0.0419%9 Jul →
mirage8–13-0.0338%9 Jul →
cache12–120.0726%8 Jul →
cache4–130.0121%8 Jul →
cache4–13-0.0437%8 Jul →
mirage13–16-0.0015%4 Jul →
dust216–12-0.0123%2 Jul →
anubis7–13-0.0615%2 Jul →
mirage13–40.0328%1 Jul →
nuke5–13-0.0418%29 Jun →
nuke11–13-0.0512%24 Jun →
inferno1–5-0.039%24 Jun →
dust216–12-0.0411%23 Jun →
inferno13–50.0018%23 Jun →
mirage9–13-0.0216%22 Jun →
inferno13–30.0137%22 Jun →
nuke11–13-0.0221%10 Jun →
dust23–13-0.0421%9 Jun →
dust213–5-0.0417%7 Jun →
mirage11–8-0.0127%29 May →
cache13–60.0116%4 May →
cache13–80.0919%4 May →
dust213–11-0.0220%27 Apr →
inferno16–120.0214%23 Apr →
ancient13–10-0.0126%23 Apr →
anubis1–13-0.0417%18 Apr →
inferno13–160.0016%15 Apr →
anubis13–50.0918%15 Apr →
ancient13–60.0413%15 Apr →
inferno13–50.0229%15 Apr →
overpass5–130.0111%14 Apr →
dust213–7-0.0235%11 Apr →
inferno13–16-0.0224%10 Apr →
mirage13–40.0726%10 Apr →
inferno1–9-0.2035%8 Apr →
overpass13–5-0.0112%8 Apr →
inferno9–3-0.0450%8 Apr →
nuke4–13-0.0114%7 Apr →
ancient13–50.0523%7 Apr →
mirage7–13-0.0632%6 Apr →
inferno13–20.0817%6 Apr →
mirage13–100.0125%6 Apr →
ancient8–130.0014%4 Apr →
inferno15–150.0721%3 Apr →
mirage9–13-0.0419%2 Apr →
dust210–13-0.0525%2 Apr →
mirage13–70.0126%2 Apr →
overpass9–130.0016%2 Apr →
mirage8–13-0.0113%2 Apr →
anubis7–130.0427%2 Apr →
nuke13–100.1217%1 Apr →
nuke13–90.0218%1 Apr →
nuke11–13-0.0413%1 Apr →
mirage5–13-0.0535%31 Mar →
mirage13–5-0.0118%31 Mar →
mirage13–50.1223%31 Mar →
dust213–3-0.0226%31 Mar →
inferno10–130.0022%27 Mar →
dust213–30.1827%27 Mar →
ancient8–13-0.0613%25 Mar →
mirage13–60.0618%25 Mar →
dust212–3-0.0133%24 Mar →
mirage13–40.0423%24 Mar →
mirage13–10-0.0215%23 Mar →
inferno15–150.0521%23 Mar →
mirage8–130.0731%19 Mar →
nuke13–60.0218%18 Mar →
dust27–130.0215%18 Mar →
overpass13–60.0429%18 Mar →
mirage8–13-0.0118%18 Mar →
dust25–13-0.0717%17 Mar →
mirage13–60.0422%17 Mar →
dust213–90.0121%17 Mar →

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 →

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