alps

alps — CS2 Stats

GL76561198064148780[U:1:103883052]Steam profile ↗✓ No bans

2,693Tracked matches48%Win rate2020Tracked since
6,244Hours in CS2Hrs last 2 wks
CSDB Rating7.6 StrongPositional Player
Premier CS Rating19,999Top 50% of 215,386 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#86341 of 261517 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,693 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,999 -1,376 7 Sept – 9 Nov · 11 days played
19,59321,375peak 21,3757 Sept9 Nov
21,375Peak Premier in tracked matches
42Days played since 2026-08-30

Premier CS Rating

  • 1,376 below peak (21,375)
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-08
  • Purple band first seen 2026-09-08

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 9 Nov 2026 and 14 Nov 2026.

Measured 9 Nov 2026 → 14 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate63.8%44.4%46.9%above
Shot accuracy17.4%11.9%13.0%above
Kill/death ratio1.061.031.08meets
Match win rate47.3%45.2%46.7%meets

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGalpsPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim94
Positioning75
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY60–33–7Last 10060%Win rateWWWLTLWLWT

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −7.7pp headshot accuracy · +53ms reaction

Win rate up 40pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 31%
  • Avg reaction 555ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 30%
  • Avg reaction 567ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 34%
  • Avg reaction 541ms

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 (+2.5 against its own average).

Aim9.4
Utility6.0
Positioning7.5
Opening Duels6.0
Clutch0.4

Sharp aimerExcellent counter-strafing

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

donk

Plays most like donk 94% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 559ms 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

Aim9.4
Positioning7.5
Utility6.0
Mechanics8.8
Opening Duels6.4
Win Impact4.4

Composite 7.6/10 (Strong), 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 rating0.05−0.00
first ⅓ avg 0.05 → last ⅓ avg 0.05
Reaction time561ms+9ms
first ⅓ avg 552ms → last ⅓ avg 561ms
Headshot accuracy34.7%+9.7%
first ⅓ avg 24.9% → last ⅓ avg 34.7%

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

0.31Best match rating · 9–1 · inferno, 2 Sept →
62%Best headshot accuracy · 9–4 · inferno, 12 Sept →
352msFastest reaction time · 9–5 · inferno, 4 Sept →
13–3Biggest win · mirage, 25 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W3Current streak
8–11In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 63% over 67dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA6742–2563%0.08
mirageA159–660%0.02
dust2D51–420%0.02
cache—43–175%0.09
office—43–175%0.03
rush_001—21–150%0.07
overpass—11–0100%0.04
vertigo—10–10%0.11
nuke—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

223,479Lifetime kills
1.06K/D · Top 50% of Purple band
6,592Matches
47.3%Match win rate · Top 50% of Purple band
63.8%Headshot % · Top 5% of Purple band
17.4%Shot accuracy · Top 25% of Purple band
24,050MVPs
10,141Hours (in match)
3,916Bombs planted
2,037Bombs defused

Most-used weapons

AK-47115,604
AWP9,918
MP92,670
FAMAS1,925
P2501,886

Lifetime map wins

16,254inferno
7,311dust2
2,120cbble
1,642nuke
1,140train
787vertigo
182office
179lake

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

Faceit stats

Combat

599Matches
51%Win rate
1.18Avg K/D
87.3ADR
50%Headshot %

Clutches & streaks

22%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2060%1.1517.4
Inferno862%1.1121.8
Vertigo560%0.7413.0
Ancient333%1.1720.3
Dust23100%1.6917.0
Nuke30%0.7413.0
Anubis20%0.8617.0
Rio de Janeiro10%0.7414.0

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.

34.0%Headshot accuracy
37.6%Accuracy (enemy spotted)
40.5%Spray accuracy
89.8%Counter-strafing
9.3°Preaim
559msReaction time
55.7%T opening success
55.4%CT opening success
0.69Enemies flashed / flash
11.3%Flash assists
10.48HE damage / grenade
6.32Flashes / match

Recommended for you

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–50.1834%7 Nov →
inferno9–7-0.0331%30 Oct →
inferno13–60.0730%30 Oct →
dust28–130.0229%29 Oct →
mirage12–120.0330%25 Oct →
inferno11–130.1934%25 Oct →
mirage13–30.039%25 Oct →
cache11–130.0536%23 Oct →
overpass13–110.0430%22 Oct →
inferno12–120.0436%18 Oct →
inferno13–60.1136%17 Oct →
mirage7–130.0549%16 Oct →
office9–13-0.0447%16 Oct →
mirage2–13-0.0138%15 Oct →
dust27–130.0726%15 Oct →
inferno11–130.0531%12 Oct →
mirage11–130.1633%11 Oct →
dust25–130.0044%10 Oct →
rush_0013–70.0345%10 Oct →
inferno6–90.0327%6 Oct →
rush_0018–70.1247%3 Oct →
inferno8–80.0246%3 Oct →
office13–100.0438%1 Oct →
inferno8–13-0.0132%30 Sept →
vertigo12–120.1137%29 Sept →
inferno13–50.1535%27 Sept →
cache13–80.0527%27 Sept →
mirage13–100.0634%27 Sept →
mirage13–80.0029%26 Sept →
office11–80.0427%24 Sept →
inferno8–130.0343%22 Sept →
mirage13–60.0645%22 Sept →
mirage10–13-0.0429%19 Sept →
office13–110.0840%17 Sept →
inferno7–90.0119%17 Sept →
inferno9–10.2123%17 Sept →
inferno6–9-0.0336%16 Sept →
inferno9–70.0828%15 Sept →
inferno9–00.1024%14 Sept →
inferno9–70.0622%14 Sept →
inferno5–9-0.0820%13 Sept →
dust23–13-0.0228%13 Sept →
inferno9–50.0219%12 Sept →
inferno9–50.0825%12 Sept →
inferno7–90.0329%12 Sept →
inferno9–50.1442%12 Sept →
inferno9–50.0529%12 Sept →
inferno9–40.1162%12 Sept →
inferno9–40.2424%12 Sept →
inferno9–30.2533%12 Sept →
inferno9–10.1627%12 Sept →
inferno9–10.087%12 Sept →
inferno9–00.3031%12 Sept →
inferno7–90.0437%11 Sept →
inferno9–00.2655%11 Sept →
inferno9–00.2533%11 Sept →
inferno1–9-0.2422%11 Sept →
inferno5–00.1740%11 Sept →
inferno9–60.0115%11 Sept →
inferno8–80.0321%10 Sept →
inferno8–80.0626%10 Sept →
mirage9–13-0.0434%10 Sept →
inferno6–9-0.0922%9 Sept →
inferno2–9-0.1821%9 Sept →
inferno9–40.1341%9 Sept →
inferno9–00.1562%9 Sept →
inferno9–00.2736%8 Sept →
inferno9–5-0.0220%8 Sept →
inferno9–60.0021%8 Sept →
inferno9–10.0117%8 Sept →
inferno9–20.1636%8 Sept →
mirage13–11-0.0530%7 Sept →
inferno9–40.1135%7 Sept →
inferno9–30.1938%7 Sept →
mirage13–10-0.0112%7 Sept →
inferno6–9-0.0515%7 Sept →
inferno9–20.0330%7 Sept →
inferno8–80.0827%7 Sept →
mirage16–13-0.0128%7 Sept →
mirage13–100.0523%7 Sept →
inferno0–9-0.309%6 Sept →
inferno9–70.0317%6 Sept →
cache13–90.0725%6 Sept →
inferno9–30.0626%6 Sept →
nuke11–13-0.0528%6 Sept →
inferno5–90.1013%5 Sept →
inferno9–20.2633%5 Sept →
inferno9–50.0622%4 Sept →
inferno9–30.1740%4 Sept →
inferno7–9-0.0223%3 Sept →
inferno9–30.2228%3 Sept →
inferno7–9-0.0430%2 Sept →
inferno9–30.1025%2 Sept →
inferno9–10.3129%2 Sept →
inferno7–9-0.0426%1 Sept →
inferno9–40.0618%1 Sept →
inferno9–40.2627%31 Aug →
inferno5–13-0.0521%30 Aug →
mirage16–120.0325%30 Aug →
dust213–80.0727%30 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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