Spagutters

Spagutters — CS2 Stats

US76561198185796741[U:1:225531013]Steam profile ↗✓ No bans

247Tracked matches46%Win rate2025Tracked since
315Hours in CS14Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 2,493 -113 8 Jun – 28 Jun · 2 days played
2,4932,606peak 2,6068 Jun28 Jun
2,606Peak Premier in tracked matches
44Days played since 2026-04-28

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

Performance scores

Aim41
Positioning63
Utility16

0–100 skill scores via Leetify.

Recent form

COLD43–43–14Last 10043%Win rateLWLLLTWLLW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · +2.1pp headshot accuracy · −66ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 550ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 570ms

Last 20

  • 9–7–4 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 8%
  • Avg reaction 602ms

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 (+2.7 against its own average).

Aim4.1
Utility1.6
Positioning6.3
Opening Duels2.8

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

donk

Plays most like donk 71% 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. 625ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning6.3
Utility1.6
Mechanics3.6
Opening Duels3.7
Win Impact3.6

Composite 4.0/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time622ms−58ms
first ⅓ avg 680ms → last ⅓ avg 622ms
Headshot accuracy8.8%−5.5%
first ⅓ avg 14.3% → last ⅓ avg 8.8%

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 · 13–5 · train, 1 Oct →
31%Best headshot accuracy · 13–8 · dust2, 26 May →
453msFastest reaction time · 2–8 · ancient, 9 Sept →
13–1Biggest win · dust2, 27 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

Map breakdown

infernoBest map · 57% over 7dust2Weakest map · 30% over 23
MapGradePlayedRecordWin rateAvg rating
dust2D237–1630%-0.02
cacheB189–950%-0.01
mirageB168–850%-0.01
nukeB126–650%0.01
ancientD103–730%-0.00
trainB84–450%0.02
infernoA74–357%-0.01
anubis—21–150%0.02
overpass—20–20%-0.03
office—11–0100%-0.08
vertigo—10–10%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,603Lifetime kills
0.81K/D
453Matches
44.4%Match win rate
33.4%Headshot %
0.6%Shot accuracy
682MVPs
167Hours (in match)
647Bombs planted
86Bombs defused

Most-used weapons

Lifetime map wins

1,078dust2
526inferno
478nuke
365train
35vertigo
13office
6italy
6lake

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.

8.5%Headshot accuracy
35.8%Accuracy (enemy spotted)
35.3%Spray accuracy
66.2%Counter-strafing
10.7°Preaim
625msReaction time
51.5%T opening success
37.7%CT opening success
0.21Enemies flashed / flash
0.0%Flash assists
12.49HE damage / grenade
1.26Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.5072% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2054 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 37.7254% — below the 40% mark we flag

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.

30% win rate across 23 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
ancient5–13-0.0313%27 Oct →
dust213–10.059%27 Oct →
inferno7–13-0.0217%26 Oct →
ancient7–130.017%24 Oct →
ancient7–13-0.0110%21 Oct →
mirage12–12-0.043%21 Oct →
inferno13–10-0.065%21 Oct →
mirage7–13-0.009%20 Oct →
dust25–13-0.1010%20 Oct →
ancient13–9-0.038%19 Oct →
inferno13–80.034%19 Oct →
nuke12–120.079%19 Oct →
cache13–100.005%18 Oct →
train13–60.0311%18 Oct →
dust213–9-0.044%18 Oct →
mirage13–6-0.017%18 Oct →
anubis3–130.0013%18 Oct →
inferno12–12-0.012%18 Oct →
dust212–120.019%17 Oct →
ancient13–70.048%16 Oct →
train12–12-0.036%16 Oct →
cache9–130.0213%16 Oct →
cache3–13-0.109%14 Oct →
dust25–13-0.0019%14 Oct →
train7–13-0.0113%14 Oct →
mirage13–10-0.0810%13 Oct →
cache10–13-0.116%12 Oct →
dust213–40.0312%12 Oct →
train12–120.006%12 Oct →
mirage6–13-0.077%12 Oct →
cache13–5-0.0412%11 Oct →
cache2–6-0.045%11 Oct →
train8–13-0.019%11 Oct →
train13–70.0410%11 Oct →
anubis13–40.0516%10 Oct →
ancient6–13-0.0311%10 Oct →
office13–6-0.080%10 Oct →
mirage13–100.057%10 Oct →
mirage13–100.055%9 Oct →
nuke13–90.0111%9 Oct →
mirage10–40.033%8 Oct →
train13–50.026%8 Oct →
dust24–13-0.045%8 Oct →
nuke12–120.029%8 Oct →
cache13–70.086%7 Oct →
nuke13–50.075%7 Oct →
mirage13–6-0.0210%7 Oct →
dust25–130.0410%7 Oct →
dust213–100.025%5 Oct →
nuke12–12-0.019%5 Oct →
ancient12–12-0.027%5 Oct →
mirage5–130.0312%5 Oct →
cache5–13-0.0623%3 Oct →
nuke13–110.0216%3 Oct →
dust210–13-0.0114%3 Oct →
inferno13–110.005%2 Oct →
cache2–13-0.057%2 Oct →
mirage9–13-0.0512%2 Oct →
nuke8–13-0.0214%1 Oct →
mirage12–120.0517%1 Oct →
train13–50.1213%1 Oct →
dust28–13-0.0421%1 Oct →
dust212–12-0.0412%9 Sept →
ancient2–8-0.0817%9 Sept →
nuke13–100.015%24 Jul →
cache13–8-0.0319%9 Jul →
dust28–13-0.099%8 Jul →
cache13–8-0.0314%7 Jul →
inferno12–12-0.026%7 Jul →
ancient3–130.0222%28 Jun →
dust25–13-0.0617%24 Jun →
cache13–90.0527%12 Jun →
cache13–110.0313%8 Jun →
mirage13–5-0.0410%8 Jun →
nuke13–9-0.0112%7 Jun →
overpass8–13-0.0415%6 Jun →
dust22–13-0.0822%6 Jun →
vertigo7–130.0016%6 Jun →
dust213–9-0.1013%2 Jun →
inferno13–100.0210%2 Jun →
dust213–8-0.085%1 Jun →
cache1–7-0.060%1 Jun →
dust28–13-0.0223%28 May →
nuke7–13-0.077%27 May →
dust213–8-0.0131%26 May →
mirage4–13-0.0226%26 May →
ancient13–10.1010%26 May →
mirage4–130.016%25 May →
nuke12–120.0213%15 May →
dust212–12-0.028%15 May →
dust211–130.0412%13 May →
overpass7–13-0.0314%13 May →
cache7–13-0.046%13 May →
nuke13–60.0611%13 May →
cache13–60.0314%8 May →
dust28–130.0313%8 May →
dust25–13-0.0412%6 May →
cache13–90.0311%2 May →
cache5–130.0824%2 May →
mirage13–4-0.0130%28 Apr →

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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