Sprosive

Sprosive — CS2 Stats

76561198049805263[U:1:89539535]Steam profile ↗✓ No bans

138Tracked matches32%Win rate2022Tracked since
539Hours in CS
CSDB Rating2.5 LearningPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate36.5%41.3%41.8%5.4% short
Shot accuracy15.5%12.7%12.2%above
Kill/death ratio0.540.950.980.44 short
Match win rate36.6%42.6%43.3%6.7% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGSprosiveFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim28
Positioning32
Utility9

0–100 skill scores via Leetify.

Recent form

COLD41–45–14Last 10041%Win rateLWLLWTLTLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −0.2pp headshot accuracy · +38ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 666ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 684ms

Last 20

  • 3–13–4 · 15% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 665ms

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 (+1.8 against its own average).

Aim2.8
Utility0.9
Positioning3.2
Opening Duels0.0

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

jL

Plays most like jL 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 655ms 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

Aim2.8
Positioning3.2
Utility0.9
Mechanics5.8
Opening Duels0.1
Win Impact0.0

Composite 2.5/10 (Learning), 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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time653ms−23ms
first ⅓ avg 675ms → last ⅓ avg 653ms
Headshot accuracy12.6%+2.7%
first ⅓ avg 9.8% → last ⅓ avg 12.6%

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

0.19Best match rating · 13–5 · agency, 15 Jun →
25%Best headshot accuracy · 4–13 · office, 4 Jul →
328msFastest reaction time · 10–13 · inferno, 1 Sept →
16–2Biggest win · cache, 18 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–0In matches decided by ≤2 rounds
44Overtime games

Map breakdown

cacheBest map · 63% over 16infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
overpassA2011–955%-0.04
cacheA1610–663%-0.04
officeD143–1121%-0.05
mirageD134–931%-0.05
infernoD122–1017%-0.07
dust2C73–443%-0.04
ancient—44–0100%-0.04
vertigo—40–40%-0.09
nuke—20–20%-0.03
agency—21–150%0.09
grail—10–10%-0.04
train—11–0100%-0.05
dogtown—10–10%-0.11
jura—10–10%-0.03
boyard—11–0100%-0.13
shortnuke—11–0100%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,008Lifetime kills
0.54K/D
1,968Matches
36.6%Match win rate
36.5%Headshot %
15.5%Shot accuracy · Top 50% of Level 2 players
969MVPs
539Hours (in match)
294Bombs planted
98Bombs defused

Most-used weapons

AK-473,501
AWP1,811
Negev1,388
P90801
Molotov646
MP7644

Lifetime map wins

1,544dust2
234inferno
145office
108nuke
83vertigo
60train
26lake
16aztec

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.

12.9%Headshot accuracy
27.0%Accuracy (enemy spotted)
24.5%Spray accuracy
76.1%Counter-strafing
11.0°Preaim
655msReaction time
30.8%T opening success
23.7%CT opening success
0.19Enemies flashed / flash
2.0%Flash assists
8.85HE damage / grenade
0.83Flashes / 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 12.9412% — 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 0.1872 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 30.8022% — 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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–9-0.1914%15 Jan →
inferno16–13-0.0211%29 Dec →
mirage8–130.0113%29 Dec →
mirage3–13-0.068%23 Dec →
ancient13–60.0213%22 Dec →
dust215–15-0.0312%22 Dec →
mirage8–13-0.0521%29 Nov →
overpass15–15-0.017%2 Aug →
overpass10–13-0.0513%2 Aug →
nuke7–13-0.0214%25 Jul →
inferno8–13-0.098%25 Jul →
inferno3–13-0.0519%19 Jul →
overpass0–13-0.0817%19 Jul →
office7–13-0.078%15 Jul →
inferno2–13-0.1020%7 Jul →
dust212–12-0.0713%6 Jul →
inferno5–13-0.0619%6 Jul →
dust213–7-0.067%6 Jul →
office2–13-0.034%6 Jul →
office12–120.0314%5 Jul →
office13–10-0.074%5 Jul →
office12–12-0.0513%5 Jul →
grail10–13-0.048%5 Jul →
ancient13–9-0.0114%5 Jul →
overpass1–9-0.139%5 Jul →
vertigo10–13-0.150%4 Jul →
dust213–10-0.0315%4 Jul →
office4–13-0.0018%4 Jul →
office9–13-0.1214%4 Jul →
office4–13-0.0325%4 Jul →
office13–50.0016%4 Jul →
office13–9-0.0319%4 Jul →
mirage3–13-0.086%3 Jul →
train13–8-0.0517%2 Jul →
office12–12-0.038%1 Jul →
office12–12-0.1011%1 Jul →
office6–13-0.0814%30 Jun →
office8–13-0.076%30 Jun →
inferno1–9-0.1715%26 Jun →
overpass13–6-0.0210%25 Jun →
mirage3–13-0.088%24 Jun →
inferno8–80.0116%23 Jun →
inferno13–4-0.0124%17 Jun →
agency13–50.1924%15 Jun →
agency7–30.0025%15 Jun →
dogtown8–8-0.1115%13 Jun →
jura10–13-0.0314%10 Jun →
mirage16–14-0.0213%23 Nov →
overpass13–7-0.0313%3 Sept →
nuke9–13-0.040%2 Sept →
inferno10–13-0.030%1 Sept →
overpass13–8-0.089%1 Sept →
mirage16–14-0.050%1 Sept →
inferno2–2-0.110%1 Sept →
ancient13–4-0.120%1 Sept →
vertigo3–6-0.0110%1 Sept →
overpass3–13-0.080%1 Sept →
mirage13–7-0.090%1 Sept →
ancient13–4-0.0422%1 Sept →
boyard9–7-0.1311%22 Aug →
shortnuke9–1-0.075%21 Aug →
mirage7–16-0.0719%17 Aug →
cache4–16-0.044%17 Aug →
overpass16–8-0.0013%14 Aug →
dust213–16-0.0319%13 Aug →
cache11–16-0.045%13 Aug →
cache16–60.0110%12 Aug →
cache11–16-0.106%8 Aug →
vertigo11–16-0.099%8 Aug →
cache13–16-0.076%6 Aug →
cache16–7-0.0516%3 Aug →
overpass16–130.0111%30 Jul →
cache16–14-0.0611%28 Jul →
cache16–11-0.0415%27 Jul →
overpass13–16-0.040%24 Jul →
cache16–14-0.0412%24 Jul →
overpass16–12-0.0211%22 Jul →
cache16–6-0.0011%22 Jul →
mirage9–16-0.115%10 Jul →
cache16–7-0.0215%3 Jul →
overpass16–14-0.0710%3 Jul →
cache16–13-0.0714%2 Jul →
overpass16–5-0.018%2 Jul →
cache16–13-0.0614%2 Jul →
cache9–16-0.105%19 Jun →
overpass4–16-0.089%19 Jun →
dust215–15-0.056%19 Jun →
cache16–20.025%18 Jun →
overpass15–15-0.1111%18 Jun →
mirage15–15-0.088%14 Jun →
overpass16–6-0.0110%14 Jun →
mirage11–16-0.1017%13 Jun →
inferno7–16-0.062%12 Jun →
mirage16–30.109%12 Jun →
overpass16–5-0.0119%12 Jun →
cache15–150.0114%11 Jun →
vertigo4–16-0.103%11 Jun →
dust216–9-0.0114%11 Jun →
overpass16–100.0412%11 Jun →
overpass11–16-0.046%10 Jun →

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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