Spurrow

Spurrow — CS2 Stats

FI76561199022727792[U:1:1062462064]Steam profile ↗✓ No bans

927Tracked matches34%Win rate2021Tracked since
2,455Hours in CS6Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 8 · 1,566 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,566 → 1,566
+27Tracked matches · now 927
−22.2ppWin rate · 56.7% → 34.5%

Rating over time

Faceit ELO: 1,566 +0 19 Sept – 25 Sept · 2 observations
1,5661,566peak 1,56619 Sept25 Sept
22,000Peak Premier in tracked matches
1,566Highest Faceit ELO seen on CSDB
37Days played since 2026-05-02

Faceit ELO

  • At peak — 1,566
  • Next: Level 9 at 1,751 — 185 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-19
  • Level 7 first seen 2026-09-19

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate45.6%46.8%48.2%2.7% short
Shot accuracy2.3%13.0%13.2%10.9% short
Kill/death ratio1.061.061.07meets
Match win rate51.8%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpurrowFACEITLevel 8 · 1,566 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,566csdb.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

Aim70
Positioning66
Utility60

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLLTLLWWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.7pp headshot accuracy · −49ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 524ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 553ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

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).

Aim7.0
Utility6.0
Positioning6.6
Opening Duels1.8
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

iM

Plays most like iM 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Reaction time. 595ms 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

Aim7.0
Positioning6.6
Utility6.0
Mechanics6.6
Opening Duels3.8
Win Impact0.0

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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time603ms−32ms
first ⅓ avg 636ms → last ⅓ avg 603ms
Headshot accuracy19.0%−9.7%
first ⅓ avg 28.8% → last ⅓ avg 19.0%

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 · 13–2 · overpass, 16 Oct →
57%Best headshot accuracy · 3–13 · anubis, 25 Jul →
414msFastest reaction time · 2–13 · mirage, 2 May →
13–1Biggest win · cache, 24 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
6–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 53% over 32dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB3217–1553%0.01
infernoB157–847%0.01
mirageD143–1121%-0.03
anubisB136–746%0.00
ancientB105–550%0.03
nukeB63–350%0.01
dust2D51–420%-0.03
overpass—33–0100%0.05
vertigo—11–0100%-0.03
poseidon—10–10%-0.07

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

19,286Lifetime kills
1.06K/D
1,127Matches
51.8%Match win rate · Top 25% of Level 8 players
45.6%Headshot %
2.3%Shot accuracy
2,506MVPs
457Hours (in match)
1,295Bombs planted
355Bombs defused

Most-used weapons

AK-476,351
AWP1,993
SSG 081,134
MP9621
Knife528

Lifetime map wins

2,665inferno
795nuke
752vertigo
553train
215dust2
25lake
13office
9cbble

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

Faceit stats

Combat

615Matches
51%Win rate
1.09Avg K/D
81.0ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage16145%1.0214.9
Inferno13759%1.1515.5
Ancient9151%1.1316.7
Overpass6648%1.0115.6
Nuke6247%1.0113.8
Anubis4045%1.1215.3
Cache3073%1.4117.3
Train2060%1.1916.7

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.

18.4%Headshot accuracy
33.7%Accuracy (enemy spotted)
38.6%Spray accuracy
79.6%Counter-strafing
9.5°Preaim
595msReaction time
48.5%T opening success
41.9%CT opening success
0.56Enemies flashed / flash
6.8%Flash assists
12.12HE damage / grenade
8.04Flashes / 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
dust211–13-0.0515%5 Nov →
dust23–13-0.0315%5 Nov →
ancient9–130.0213%4 Nov →
cache15–15-0.0124%4 Nov →
cache1–13-0.0227%4 Nov →
cache6–13-0.0124%25 Oct →
inferno13–40.0325%25 Oct →
dust213–110.0126%24 Oct →
inferno10–130.0415%24 Oct →
anubis13–160.0112%19 Oct →
mirage11–13-0.0618%19 Oct →
ancient13–30.1041%16 Oct →
overpass13–20.1216%16 Oct →
anubis10–130.0829%16 Oct →
cache1–130.0325%16 Oct →
anubis6–13-0.048%15 Oct →
cache19–16-0.0119%15 Oct →
mirage4–13-0.0712%1 Oct →
inferno6–90.0225%1 Oct →
cache13–60.0623%26 Sept →
anubis7–13-0.0119%26 Sept →
nuke8–130.0013%26 Sept →
cache13–6-0.0128%23 Sept →
cache8–13-0.0428%22 Sept →
mirage2–13-0.0615%22 Sept →
vertigo13–10-0.0311%22 Sept →
dust27–13-0.0811%22 Sept →
inferno3–13-0.019%22 Sept →
inferno8–130.0616%20 Sept →
anubis13–100.057%20 Sept →
inferno13–110.0017%20 Sept →
mirage11–130.0121%20 Sept →
cache10–130.0223%18 Sept →
anubis13–100.0319%18 Sept →
ancient13–100.019%18 Sept →
anubis11–13-0.0412%18 Sept →
inferno2–13-0.0317%18 Sept →
cache13–6-0.0320%18 Sept →
poseidon3–9-0.0733%18 Sept →
cache13–110.0821%17 Sept →
overpass13–9-0.0116%17 Sept →
overpass13–50.0332%17 Sept →
ancient9–13-0.0016%14 Sept →
anubis13–60.0230%14 Sept →
nuke3–13-0.0017%14 Sept →
inferno13–80.0537%14 Sept →
mirage13–100.0322%14 Sept →
ancient11–130.078%13 Sept →
cache10–13-0.0726%3 Sept →
cache9–13-0.0024%31 Aug →
nuke13–90.0329%31 Aug →
cache19–170.0629%30 Aug →
ancient16–120.1015%30 Aug →
cache13–50.0816%30 Aug →
mirage13–8-0.0119%30 Aug →
inferno13–6-0.044%30 Aug →
cache12–160.0522%30 Aug →
mirage9–13-0.0123%27 Aug →
nuke13–11-0.0154%27 Aug →
inferno8–130.0114%19 Aug →
anubis13–30.0231%19 Aug →
cache13–40.0736%19 Aug →
inferno10–13-0.0218%18 Aug →
inferno13–70.0327%17 Aug →
inferno13–3-0.0526%17 Aug →
anubis13–8-0.0127%13 Aug →
ancient13–50.0024%11 Aug →
ancient13–90.0421%11 Aug →
ancient16–19-0.0320%9 Aug →
cache13–80.0318%9 Aug →
mirage11–13-0.0614%26 Jul →
mirage5–13-0.0437%26 Jul →
mirage8–130.0720%26 Jul →
anubis3–13-0.0457%25 Jul →
inferno13–70.0111%25 Jul →
mirage4–00.0033%25 Jul →
anubis6–13-0.0422%25 Jul →
nuke13–60.0131%25 Jul →
inferno19–22-0.0021%25 Jul →
cache13–10.0529%24 Jul →
mirage6–13-0.0527%19 Jul →
cache10–130.0552%15 Jun →
nuke9–130.0614%15 Jun →
cache11–13-0.0355%8 Jun →
cache11–13-0.0227%5 Jun →
cache13–70.0143%5 Jun →
cache11–13-0.0322%5 Jun →
cache12–120.0441%28 May →
cache13–50.0650%28 May →
cache9–13-0.0823%9 May →
cache13–60.0148%4 May →
cache13–60.0141%4 May →
cache13–110.0224%2 May →
mirage2–13-0.0733%2 May →
dust212–120.0118%2 May →
cache13–8-0.0013%2 May →
ancient4–13-0.0016%2 May →
anubis13–60.0227%2 May →
cache13–80.0122%2 May →
mirage1–13-0.0917%2 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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