SpittinLlama

SpittinLlama — CS2 Stats

AU76561198231471416[U:1:271205688]Steam profile ↗✓ No bans

1,290Tracked matches57%Win rate2020Tracked since
4,874Hours in CS16Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating21,033Top 50% of 204,056 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#66709 of 251150 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−369Premier CS Rating · 21,402 → 21,033

Rating over time

Premier CS Rating: 21,033 +4,593 22 Jun – 9 Oct · 32 days played
15,00021,679peak 21,67922 Jun9 Oct
21,721Peak Premier in tracked matches
45Days played since 2026-06-22

Premier CS Rating

  • 646 below peak (21,679)
  • -235 over 30 days · steady
  • +4,345 over 90 days
  • Next: Red band at 25,000 — 3,967 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-28

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate45.2%46.9%49.2%4.1% short
Shot accuracy13.8%13.0%13.4%above
Kill/death ratio0.851.081.120.27 short
Match win rate42.6%46.7%48.5%5.9% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpittinLlamaPREMIER21,033 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning46
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateLWLWWWWLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +4.8pp headshot accuracy · +20ms 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 -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 552ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 532ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 522ms

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 (+1.4 against its own average).

Aim8.1
Utility2.3
Positioning4.6
Opening Duels2.5
Clutch3.4

Limited 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

ropz

Plays most like ropz 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

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

Aim8.1
Positioning4.6
Utility2.3
Mechanics7.3
Opening Duels2.0
Win Impact7.2

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time534ms−103ms
first ⅓ avg 637ms → last ⅓ avg 534ms
Headshot accuracy22.2%−2.6%
first ⅓ avg 24.8% → last ⅓ avg 22.2%

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 · 13–10 · cache, 24 Aug →
80%Best headshot accuracy · 2–13 · dust2, 22 Aug →
398msFastest reaction time · 5–13 · inferno, 23 Sept →
13–1Biggest win · ancient, 17 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 74% over 19anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D217–1433%0.00
ancientS2115–671%0.01
infernoS1914–574%0.00
mirageC114–736%-0.00
nukeA117–464%-0.00
cacheB105–550%-0.01
anubisD72–529%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

100,864Lifetime kills
0.85K/D
5,887Matches
42.6%Match win rate
45.2%Headshot %
13.8%Shot accuracy · Top 50% of Pink band
12,769MVPs
2,121Hours (in match)
2,975Bombs planted
2,313Bombs defused

Most-used weapons

Lifetime map wins

10,084dust2
8,951inferno
3,892nuke
2,232train
1,815vertigo
655cbble
277office
158lake

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

Faceit stats

Combat

577Matches
51%Win rate
0.84Avg K/D
81.0ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3441%0.9516.6
Inferno2564%0.9816.2
Dust22352%1.0816.1
Ancient1765%0.9914.8
Nuke1464%1.0315.9
Anubis1050%1.0014.8
Cache757%1.1113.4
Overpass1100%1.1326.0

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.

23.0%Headshot accuracy
34.6%Accuracy (enemy spotted)
34.3%Spray accuracy
82.9%Counter-strafing
9.3°Preaim
536msReaction time
35.3%T opening success
40.7%CT opening success
0.24Enemies flashed / flash
1.8%Flash assists
7.37HE damage / grenade
2.00Flashes / 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 0.2359 — 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 35.2969% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0026%9 Oct →
cache13–11-0.0234%7 Oct →
mirage5–13-0.0515%7 Oct →
cache13–7-0.0121%6 Oct →
dust213–8-0.0619%6 Oct →
mirage13–110.0037%28 Sept →
cache13–11-0.0121%28 Sept →
dust29–130.0019%27 Sept →
ancient4–13-0.0619%26 Sept →
ancient14–16-0.0620%25 Sept →
ancient13–2-0.0117%25 Sept →
inferno10–13-0.0215%25 Sept →
mirage13–6-0.0327%23 Sept →
inferno5–13-0.0712%23 Sept →
ancient13–110.0217%23 Sept →
anubis8–13-0.0315%19 Sept →
cache10–13-0.0617%9 Sept →
inferno13–50.0120%9 Sept →
ancient13–90.0021%9 Sept →
nuke13–10-0.0125%5 Sept →
dust28–13-0.0436%3 Sept →
ancient13–9-0.0717%3 Sept →
mirage10–13-0.0139%3 Sept →
nuke13–80.0127%2 Sept →
anubis13–20.0923%2 Sept →
anubis13–11-0.0326%1 Sept →
nuke7–13-0.1024%29 Aug →
inferno13–11-0.0130%29 Aug →
ancient13–70.1027%29 Aug →
ancient2–130.0315%28 Aug →
inferno13–3-0.0120%28 Aug →
ancient13–7-0.025%28 Aug →
inferno13–90.0428%28 Aug →
mirage15–15-0.0321%27 Aug →
dust27–130.0831%24 Aug →
cache13–100.1237%24 Aug →
ancient13–11-0.0419%22 Aug →
dust213–70.0225%22 Aug →
mirage13–20.0728%22 Aug →
dust22–13-0.0180%22 Aug →
inferno13–11-0.0112%22 Aug →
nuke7–13-0.0741%21 Aug →
dust213–4-0.0117%21 Aug →
inferno13–10-0.0624%21 Aug →
dust213–4-0.0119%20 Aug →
anubis6–13-0.0520%20 Aug →
mirage9–13-0.017%18 Aug →
anubis10–130.0319%15 Aug →
inferno13–5-0.0024%15 Aug →
dust213–30.0312%15 Aug →
dust213–16-0.0022%14 Aug →
ancient13–9-0.0316%14 Aug →
dust210–130.0341%1 Aug →
ancient7–13-0.0227%1 Aug →
cache9–13-0.0218%1 Aug →
inferno13–8-0.0522%1 Aug →
anubis7–13-0.0124%30 Jul →
ancient13–6-0.0523%27 Jul →
mirage5–13-0.0118%24 Jul →
dust213–70.0826%22 Jul →
cache13–8-0.0114%19 Jul →
ancient13–9-0.0418%19 Jul →
anubis4–13-0.0519%18 Jul →
cache2–13-0.0550%18 Jul →
inferno13–70.0434%18 Jul →
inferno13–11-0.0623%18 Jul →
dust213–9-0.0331%17 Jul →
ancient13–10.1048%17 Jul →
mirage13–90.0420%15 Jul →
mirage11–13-0.0030%15 Jul →
cache9–13-0.0228%14 Jul →
nuke13–80.0420%14 Jul →
inferno13–60.0527%14 Jul →
inferno13–30.0114%14 Jul →
dust28–130.0128%14 Jul →
nuke13–11-0.0025%13 Jul →
inferno13–110.0228%13 Jul →
cache5–13-0.0214%10 Jul →
ancient13–100.0122%10 Jul →
nuke13–4-0.0517%10 Jul →
dust24–130.0522%10 Jul →
mirage15–150.0121%10 Jul →
ancient13–90.0631%10 Jul →
nuke13–60.0929%10 Jul →
dust214–160.0521%9 Jul →
inferno9–130.0215%8 Jul →
inferno12–16-0.0213%6 Jul →
nuke13–3-0.0328%4 Jul →
dust212–12-0.0229%4 Jul →
ancient15–150.0724%3 Jul →
dust29–13-0.089%3 Jul →
nuke9–13-0.0121%27 Jun →
inferno10–130.0822%27 Jun →
nuke10–130.0836%24 Jun →
dust27–13-0.0725%23 Jun →
ancient13–100.0832%23 Jun →
dust28–130.0235%23 Jun →
ancient8–130.0423%23 Jun →
ancient13–70.0329%22 Jun →
inferno13–50.0533%22 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.