Spangled_Poskitt

Spangled_Poskitt — CS2 Stats

CN76561198114861573[U:1:154595845]Steam profile ↗✓ No bans

100Tracked matches46%Win rate2020Tracked since
576Hours in CS
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating19,772Top 50% of 210,832 CSDB-tracked playersPurple band · top ~9.4% of ranked players (population est.)
CSDB Leaderboard#88707 of 257947 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2025 (411 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: 19,772 +8,271 23 Jun – 11 Sept · 17 days played
11,50120,124peak 20,12423 Jun11 Sept
20,124Peak Premier in tracked matches
48Days played since 2021-12-18

Premier CS Rating

  • 352 below peak (20,124)
  • +8,271 over 90 days
  • Next: Pink band at 20,000 — 228 to go
  • Reached: Pink band · Purple band · 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 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 rate36.2%44.4%46.9%10.7% short
Shot accuracy19.4%11.9%13.0%above
Kill/death ratio1.201.031.08above
Match win rate38.8%45.2%46.7%7.9% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpangled_PoskittPREMIER19,772 · Purple 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

Aim61
Positioning51
Utility47

0–100 skill scores via Leetify.

Recent form

COLD43–51–5Last 9943%Win rateLLLLWLWLWT

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · −47ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 578ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 566ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 590ms

Newest first, from the last 99 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 (+1.2 against its own average).

Aim6.1
Utility4.7
Positioning5.1
Opening Duels2.0

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

Twistzz

Plays most like Twistzz 89% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 612ms 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

Aim6.1
Positioning5.1
Utility4.7
Mechanics6.7
Opening Duels2.0
Win Impact3.8

Composite 5.1/10 (Developing), 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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time607ms−27ms
first ⅓ avg 634ms → last ⅓ avg 607ms
Headshot accuracy16.3%+1.0%
first ⅓ avg 15.3% → last ⅓ avg 16.3%

Rolling 5-match average across the last 99 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 13–3 · mirage, 16 Jun →
38%Best headshot accuracy · 13–9 · dust2, 13 Jul →
422msFastest reaction time · 9–13 · inferno, 31 Aug →
13–2Biggest win · nuke, 28 Jun →

Across the last 99 tracked matches.

Highlights

4Longest win streak
L4Current streak
6–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

trainBest map · 80% over 5overpassWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB4722–2547%-0.01
overpassD113–827%-0.00
nukeS107–370%0.01
dust2D93–633%-0.00
anubisD62–433%-0.05
ancientC52–340%-0.02
trainS54–180%0.01
inferno—30–30%-0.00
jura—30–30%0.00

Across the last 99 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,009Lifetime kills
1.20K/D · Top 25% of Purple band
2,044Matches
38.8%Match win rate
36.2%Headshot %
19.4%Shot accuracy · Top 5% of Purple band
3,055MVPs
576Hours (in match)
1,183Bombs planted
292Bombs defused

Most-used weapons

Lifetime map wins

1,710dust2
1,557nuke
791inferno
357train
247cbble
145lake
126vertigo
122safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.8%Headshot accuracy
34.2%Accuracy (enemy spotted)
32.3%Spray accuracy
80.3%Counter-strafing
10.3°Preaim
612msReaction time
37.1%T opening success
38.6%CT opening success
0.44Enemies flashed / flash
2.1%Flash assists
7.63HE damage / grenade
4.56Flashes / 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 0.44 — 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 37.058% — below the 40% mark we flag

Spend your practice time on Overpass

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0820%11 Sept →
ancient9–13-0.0220%11 Sept →
mirage7–13-0.107%9 Sept →
dust22–13-0.0213%9 Sept →
mirage13–10-0.0321%7 Sept →
nuke5–13-0.0818%7 Sept →
train13–11-0.0326%7 Sept →
overpass7–9-0.017%6 Sept →
train13–60.038%1 Sept →
overpass15–15-0.0120%1 Sept →
mirage13–90.0313%1 Sept →
inferno9–13-0.0113%31 Aug →
mirage13–5-0.0316%31 Aug →
overpass6–13-0.0523%31 Aug →
mirage16–13-0.0916%30 Aug →
mirage13–80.0614%30 Aug →
ancient4–13-0.0818%30 Aug →
inferno10–130.0125%22 Aug →
mirage6–130.0319%22 Aug →
overpass4–9-0.0022%22 Aug →
overpass12–120.0514%16 Aug →
nuke13–11-0.0618%31 Jul →
overpass13–70.0610%31 Jul →
nuke9–13-0.0222%31 Jul →
overpass6–13-0.0518%30 Jul →
overpass13–40.067%30 Jul →
jura8–13-0.019%30 Jul →
jura6–130.0433%30 Jul →
mirage6–13-0.0014%30 Jul →
nuke13–40.0623%29 Jul →
nuke13–70.0612%28 Jul →
mirage13–8-0.0513%27 Jul →
train13–100.058%27 Jul →
mirage7–13-0.0222%27 Jul →
dust26–13-0.0617%26 Jul →
nuke9–13-0.0210%25 Jul →
ancient13–30.038%21 Jul →
overpass13–7-0.009%21 Jul →
overpass7–13-0.0116%21 Jul →
train2–10-0.0317%16 Jul →
jura9–13-0.0318%15 Jul →
mirage13–11-0.0113%14 Jul →
anubis13–9-0.0613%14 Jul →
nuke7–00.0614%14 Jul →
dust213–90.0738%13 Jul →
mirage8–130.027%12 Jul →
mirage6–130.0216%12 Jul →
nuke13–60.079%9 Jul →
dust29–13-0.0417%5 Jul →
nuke13–110.0120%2 Jul →
mirage16–14-0.0123%29 Jun →
mirage13–30.0418%29 Jun →
nuke13–20.0435%28 Jun →
ancient7–13-0.0610%28 Jun →
mirage6–130.0720%28 Jun →
inferno5–9-0.019%28 Jun →
train13–20.0311%23 Jun →
mirage10–130.0124%20 Jun →
ancient13–80.0310%20 Jun →
mirage13–80.0122%20 Jun →
mirage13–100.0222%16 Jun →
mirage13–30.1416%16 Jun →
mirage6–13-0.0524%16 Jun →
anubis13–8-0.0429%14 Jun →
anubis5–13-0.0721%14 Jun →
anubis8–13-0.0319%14 Jun →
mirage9–13-0.0121%14 Jun →
mirage6–13-0.0414%13 Jun →
mirage11–130.0129%12 Jun →
mirage13–90.0113%12 Jun →
mirage11–130.0118%12 Jun →
mirage12–12-0.0310%11 Jun →
mirage13–110.0422%11 Jun →
mirage12–12-0.0511%11 Jun →
mirage5–13-0.0421%9 Jun →
mirage11–7-0.0127%8 Jun →
mirage7–13-0.0416%8 Jun →
mirage4–13-0.0610%8 Jun →
mirage9–13-0.085%8 Jun →
mirage13–5-0.0021%7 Jun →
mirage2–7-0.018%7 Jun →
overpass7–13-0.0413%1 Jun →
mirage8–13-0.0514%30 May →
mirage13–60.0615%30 May →
mirage13–10-0.0215%30 May →
mirage13–70.0923%29 May →
mirage13–70.0021%29 May →
mirage8–13-0.0011%28 May →
anubis12–12-0.0321%27 May →
anubis5–13-0.0517%27 May →
dust29–13-0.043%26 May →
dust213–9-0.0416%26 May →
mirage5–13-0.0511%26 May →
mirage13–7-0.049%26 May →
dust213–50.0221%25 May →
dust26–130.0814%24 May →
mirage8–13-0.0611%21 May →
dust25–130.0119%19 May →
mirage9–30.016%18 Dec →

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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