Spore

Spore — CS2 Stats

US76561198882594226[U:1:922328498]Steam profile ↗✓ No bans

2,314Tracked matches52%Win rate2024Tracked since
3,277Hours in CS31Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating3,926Grey band · top ~83.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (3 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: 3,926 -1,275 30 Aug – 3 Oct · 7 days played
3,8205,201peak 5,20130 Aug3 Oct
5,201Peak Premier in tracked matches
832Highest Faceit ELO seen on CSDB
29Days played since 2026-08-30

Premier CS Rating

  • 1,275 below peak (5,201)
  • -298 over 30 days · steady
  • Next: Light Blue band at 5,000 — 1,074 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches108——
Win rate36%——
K/D0.78——
Headshot %64%——

Measured 8 Sep 2026 → 6 Oct 2026; no observation near 60 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 Level 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate52.2%41.8%42.7%above
Shot accuracy2.1%12.2%11.3%9.2% short
Kill/death ratio0.760.980.990.24 short
Match win rate34.2%43.3%43.9%9.7% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSporeFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER3,926 · Grey bandPEAK ELO832csdb.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

Aim68
Positioning56
Utility31

0–100 skill scores via Leetify.

Recent form

HOT37–58–5Last 10037%Win rateLWWWWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −3.7pp headshot accuracy · +53ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 709ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 638ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 612ms

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 (+2.4 against its own average).

Aim6.8
Utility3.1
Positioning5.6
Opening Duels0.9
Clutch3.0

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

sh1ro

Plays most like sh1ro 83% playstyle similarity

Most alike: positioning profile, aim profile.

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

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

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

CT openings. Opening success drops from 54% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 622ms 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

Aim6.8
Positioning5.6
Utility3.1
Mechanics6.1
Opening Duels3.5
Win Impact5.6

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time617ms+7ms
first ⅓ avg 610ms → last ⅓ avg 617ms
Headshot accuracy25.4%−1.5%
first ⅓ avg 26.8% → last ⅓ avg 25.4%

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

0.15Best match rating · 13–10 · dust2, 14 Sept →
54%Best headshot accuracy · 7–13 · office, 22 Sept →
398msFastest reaction time · 13–11 · dust2, 3 Oct →
13–0Biggest win · vertigo, 23 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 80% over 5infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
officeC4516–2936%-0.02
dust2D155–1033%0.00
vertigoB63–350%0.02
cacheD62–433%-0.03
mirageS54–180%0.02
infernoD51–420%0.01
train—42–250%0.03
nuke—42–250%0.03
ancient—41–325%-0.06
anubis—31–233%-0.05
italy—10–10%-0.04
shelter—10–10%-0.12
overpass—10–10%-0.08

Across the last 100 tracked matches.

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

Lifetime stats

53,284Lifetime kills
0.76K/D
4,704Matches
34.2%Match win rate
52.2%Headshot % · Top 25% of Level 3 players
2.1%Shot accuracy
5,474MVPs
1,905Hours (in match)
1,495Bombs planted
497Bombs defused

Most-used weapons

AK-4712,984
SSG 084,914
AWP3,659
P901,336
MP71,068

Lifetime map wins

7,522dust2
3,860nuke
3,620inferno
2,314vertigo
2,100office
1,528train
186italy
74ar_shoots

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

Faceit stats

Combat

37Matches
49%Win rate
0.77Avg K/D
68.6ADR
57%Headshot %

Clutches & streaks

35%1v1 clutch win
6%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21173%0.8911.8
Mirage862%0.7112.0
Inferno729%0.7913.6
Ancient450%0.7912.5
Nuke333%0.709.0
Anubis20%0.549.0
Train10%0.508.0
Overpass10%0.8012.0

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.

25.5%Headshot accuracy
30.0%Accuracy (enemy spotted)
34.2%Spray accuracy
77.5%Counter-strafing
8.7°Preaim
622msReaction time
53.7%T opening success
34.3%CT opening success
0.33Enemies flashed / flash
1.6%Flash assists
10.54HE damage / grenade
9.70Flashes / 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 0.3309 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.2703% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office8–13-0.0426%5 Oct →
train13–70.0332%4 Oct →
mirage13–80.0524%4 Oct →
dust213–8-0.0219%4 Oct →
train13–60.1237%4 Oct →
mirage7–20.017%4 Oct →
dust213–11-0.0429%3 Oct →
vertigo13–30.0313%3 Oct →
office9–13-0.0635%3 Oct →
nuke13–70.0327%3 Oct →
dust24–13-0.0333%1 Oct →
cache12–16-0.0217%1 Oct →
cache5–13-0.0443%1 Oct →
office6–130.0324%30 Sept →
office13–30.0033%30 Sept →
office13–100.0432%30 Sept →
office13–10-0.0031%27 Sept →
office13–50.0615%27 Sept →
office13–10-0.0321%26 Sept →
dust26–13-0.0134%25 Sept →
anubis2–13-0.089%25 Sept →
office11–130.0433%25 Sept →
office8–130.0627%25 Sept →
office13–11-0.0720%25 Sept →
dust23–13-0.0125%25 Sept →
vertigo5–13-0.0329%25 Sept →
office11–13-0.0624%25 Sept →
dust212–12-0.0319%24 Sept →
vertigo9–13-0.0419%24 Sept →
vertigo12–30.0820%23 Sept →
vertigo13–00.0622%23 Sept →
office13–11-0.0322%23 Sept →
office10–13-0.0538%22 Sept →
office7–13-0.1054%22 Sept →
anubis5–00.029%22 Sept →
anubis10–13-0.0818%22 Sept →
cache13–20.0023%22 Sept →
office13–70.0132%20 Sept →
office13–100.0422%20 Sept →
office11–13-0.0729%20 Sept →
office10–13-0.0133%20 Sept →
office9–13-0.0327%18 Sept →
office5–13-0.1210%17 Sept →
office2–13-0.0517%17 Sept →
office12–12-0.0716%17 Sept →
office13–3-0.0122%17 Sept →
office10–13-0.0633%17 Sept →
office12–12-0.0317%16 Sept →
office13–10-0.0016%16 Sept →
office13–11-0.0425%16 Sept →
ancient8–13-0.0925%16 Sept →
office11–130.0031%15 Sept →
dust23–13-0.0140%14 Sept →
dust213–50.1418%14 Sept →
office9–13-0.0241%14 Sept →
office13–6-0.0123%14 Sept →
dust213–100.1524%14 Sept →
vertigo12–120.0430%13 Sept →
inferno5–13-0.0842%13 Sept →
dust25–13-0.0014%13 Sept →
office7–130.0129%13 Sept →
dust25–130.0348%12 Sept →
train8–13-0.0833%12 Sept →
office13–40.1323%11 Sept →
office0–13-0.0744%11 Sept →
office3–13-0.0348%10 Sept →
italy1–13-0.0427%10 Sept →
cache7–13-0.0934%10 Sept →
office5–13-0.0832%10 Sept →
train8–130.0421%10 Sept →
nuke6–130.0115%10 Sept →
cache10–13-0.0226%8 Sept →
cache13–1-0.0429%8 Sept →
shelter10–13-0.1226%7 Sept →
nuke13–40.0316%7 Sept →
ancient10–6-0.1020%7 Sept →
dust213–90.0533%7 Sept →
dust22–13-0.0614%6 Sept →
overpass0–13-0.0829%5 Sept →
ancient5–7-0.0529%5 Sept →
office10–130.0624%5 Sept →
dust25–13-0.0741%5 Sept →
inferno9–130.0926%5 Sept →
inferno4–9-0.067%5 Sept →
inferno9–50.0828%5 Sept →
office0–13-0.0654%5 Sept →
office0–13-0.0719%4 Sept →
office3–130.0217%4 Sept →
mirage13–70.0332%4 Sept →
inferno9–130.0432%3 Sept →
office3–13-0.1236%3 Sept →
office13–8-0.0419%3 Sept →
office12–12-0.0338%3 Sept →
dust28–13-0.0218%3 Sept →
nuke8–130.0428%3 Sept →
office7–13-0.0740%2 Sept →
office13–3-0.0229%2 Sept →
mirage13–8-0.0425%2 Sept →
ancient10–13-0.0129%2 Sept →
mirage11–130.0422%1 Sept →

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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