sprak

sprak — CS2 Stats

76561197979328064[U:1:19062336]Steam profile ↗✓ No bans

2,040Tracked matches50%Win rate2020Tracked since
2,016Hours in CS
CSDB Rating5.9 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=28,192), 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 10 median
Headshot rate44.6%51.0%
Shot accuracy16.5%13.7%
Kill/death ratio1.131.09
Match win rate52.4%48.4%

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CSDB.GGsprakFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning65
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY4951Last 10049%Win rateWLLLWWWLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +3.0pp headshot accuracy · +29ms 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

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 570ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 567ms

Last 20

  • 911 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 553ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim6.3
Utility6.4
Positioning6.5
Opening Duels5.0
Clutch1.0

Effective flashes

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 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

T-side openings. Opening success drops from 54% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim6.3
Positioning6.5
Utility6.4
Mechanics5.8
Opening Duels4.1
Win Impact5.0

Composite 5.9/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time565ms+28ms
first ⅓ avg 537ms → last ⅓ avg 565ms
Headshot accuracy18.9%−1.3%
first ⅓ avg 20.2% → last ⅓ avg 18.9%

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 · 13–3 · ancient, 1 Mar
67%Best headshot accuracy · 13–2 · train, 17 Jan
359msFastest reaction time · 13–9 · dust2, 24 Feb
13–1Biggest win · nuke, 5 May

Across the last 100 tracked matches.

Highlights

5Longest win streak
711In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S2315865%0.01
infernoC2181338%0.01
ancientD1651131%0.02
mirageD121118%-0.02
nukeS97278%0.02
cache_bS64267%-0.01
overpassS54180%0.00
train43175%-0.00
anubis32167%0.02
cache1010%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,871Lifetime kills
1.13K/D · Top 50% of Level 10 players
3,594Matches
52.4%Match win rate · Top 25% of Level 10 players
44.6%Headshot %
16.5%Shot accuracy · Top 25% of Level 10 players
11,314MVPs
2,016Hours (in match)
5,800Bombs planted
1,331Bombs defused

Most-used weapons

AK-4732,929
AWP13,905
P2502,083
Knife1,952
MP91,524
AUG1,442

Lifetime map wins

12,951inferno
3,329dust2
2,264nuke
1,636vertigo
1,053train
914cbble
13dust
11aztec

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

Faceit stats

Combat

878Matches
51%Win rate
1.11Avg K/D
74.2ADR
40%Headshot %

Clutches & streaks

25%1v1 clutch win
27%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient2317%1.0116.6
Vertigo1747%1.1115.3
Inferno1553%1.4518.9
Overpass1540%1.0316.3
Anubis1553%1.0918.1
Mirage1164%1.1515.1
Nuke1070%1.3316.8
Dust2425%0.7210.5

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.

18.9%Headshot accuracy
31.1%Accuracy (enemy spotted)
33.1%Spray accuracy
76.0%Counter-strafing
9.3°Preaim
569msReaction time
38.4%T opening success
54.2%CT opening success
0.71Enemies flashed / flash
9.7%Flash assists
9.19HE damage / grenade
8.64Flashes / 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. 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 38.3952% — below the 40% mark we flag

Spend your practice time on Mirage

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

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–10.0518%5 May
cache11–13-0.0415%5 May
inferno6–13-0.0413%22 Apr
ancient6–13-0.0231%22 Apr
overpass19–150.0426%2 Apr
inferno13–10.0823%2 Apr
dust213–6-0.0316%2 Apr
mirage10–13-0.0415%2 Apr
nuke13–90.0126%30 Mar
ancient6–130.0323%30 Mar
inferno13–110.0020%29 Mar
mirage9–13-0.0217%29 Mar
mirage5–13-0.0716%28 Mar
dust29–130.0112%28 Mar
overpass13–60.0216%23 Mar
dust27–13-0.0124%23 Mar
nuke19–150.0820%6 Mar
mirage13–70.0015%6 Mar
ancient11–130.1018%6 Mar
anubis14–160.0016%6 Mar
dust28–13-0.0521%6 Mar
anubis13–90.0412%4 Mar
ancient2–13-0.0615%4 Mar
inferno13–40.0624%3 Mar
nuke13–10-0.0219%3 Mar
ancient16–140.0425%3 Mar
cache_b5–13-0.0120%1 Mar
ancient13–30.1220%1 Mar
dust213–90.0216%1 Mar
inferno10–130.0116%1 Mar
dust213–90.0417%25 Feb
ancient11–13-0.0019%25 Feb
cache_b13–10-0.0224%25 Feb
mirage16–19-0.0025%24 Feb
dust213–90.0118%24 Feb
ancient13–90.0921%24 Feb
dust213–90.0333%24 Feb
cache_b13–9-0.0414%20 Feb
dust213–6-0.039%20 Feb
inferno9–13-0.0218%20 Feb
dust211–13-0.008%20 Feb
dust219–160.0116%20 Feb
ancient11–13-0.0017%15 Feb
inferno8–13-0.0228%15 Feb
nuke5–13-0.0122%15 Feb
inferno11–130.0134%15 Feb
dust213–60.1113%15 Feb
mirage10–13-0.0316%14 Feb
inferno7–13-0.0215%14 Feb
nuke13–3-0.0112%14 Feb
overpass13–10.0718%14 Feb
nuke14–16-0.0611%13 Feb
inferno5–13-0.047%13 Feb
ancient16–190.0412%13 Feb
mirage7–13-0.0316%13 Feb
dust213–90.0419%13 Feb
inferno16–140.0223%13 Feb
cache_b8–13-0.0616%13 Feb
dust216–140.0110%13 Feb
train13–90.0315%4 Feb
anubis13–110.0118%4 Feb
dust26–13-0.0525%4 Feb
ancient13–90.0416%4 Feb
dust213–8-0.0312%4 Feb
overpass3–13-0.069%4 Feb
inferno4–13-0.039%3 Feb
dust26–130.0412%3 Feb
inferno13–50.0512%3 Feb
dust213–30.0731%3 Feb
mirage5–130.0424%31 Jan
inferno9–130.0413%31 Jan
cache_b13–60.0420%30 Jan
ancient13–70.0717%30 Jan
mirage8–130.0121%30 Jan
dust213–50.1023%30 Jan
train13–10.0210%30 Jan
cache_b16–14-0.0015%30 Jan
ancient10–13-0.0215%30 Jan
inferno15–19-0.0115%30 Jan
dust25–13-0.0357%30 Jan
inferno6–13-0.0311%27 Jan
ancient3–13-0.0811%27 Jan
dust213–90.0921%27 Jan
inferno13–90.0428%27 Jan
overpass13–10-0.040%24 Jan
mirage11–130.010%24 Jan
inferno11–13-0.010%24 Jan
dust22–13-0.060%24 Jan
inferno13–80.0630%20 Jan
nuke13–50.1023%20 Jan
ancient10–13-0.0418%20 Jan
inferno13–40.0231%20 Jan
dust213–30.0532%20 Jan
mirage10–13-0.0714%17 Jan
train2–13-0.1016%17 Jan
nuke13–110.0417%17 Jan
train13–20.0467%17 Jan
ancient11–130.0040%17 Jan
inferno10–130.0319%17 Jan
mirage5–13-0.0617%17 Jan

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →