sprintz1k

sprintz1k — CS2 Stats

US76561198299550213[U:1:339284485]Steam profile ↗✓ No bans

778Tracked matches45%Win rate2023Tracked since
1,011Hours in CS11Hrs last 2 wks
CSDB Rating4.6 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 rate44.0%42.1%42.5%above
Shot accuracy0.8%12.1%10.9%10.1% short
Kill/death ratio0.860.990.990.14 short
Match win rate41.3%43.9%44.2%2.8% 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.GGsprintz1kFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.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

Aim54
Positioning42
Utility52

0–100 skill scores via Leetify.

Recent form

COLD48457Last 10048%Win rateTLLLLWLLLL

Last 10 vs previous 10: -70pp win rate · -0.06 avg rating

Player DNA

Aim5.4
Aggression2.7
Utility5.2
Positioning4.2
Opening Duels1.0
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.

Your pro match

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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 47% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim5.4
Positioning4.2
Utility5.2
Mechanics5.3
Opening Duels2.1
Win Impact3.3

Composite 4.6/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time572ms−81ms
first ⅓ avg 653ms → last ⅓ avg 572ms
Headshot accuracy15.3%−0.7%
first ⅓ avg 16.0% → last ⅓ avg 15.3%

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.

Highlights

0.15Best rating — nuke 13–1
131Biggest win — nuke
8Longest win streak
35In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 69% over 16cacheWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C2081240%-0.02
nukeS1611569%-0.00
cacheD1551033%-0.02
officeD124833%-0.01
infernoB115645%-0.02
mirageC94544%0.00
ancientA95456%-0.02
vertigo32167%0.04
anubis330100%0.05
train21150%-0.03

Across the last 100 tracked matches.

Lifetime stats

14,893Lifetime kills
0.86K/D
1,033Matches
41.3%Match win rate
44.0%Headshot % · Top 50% of Level 3 players
0.8%Shot accuracy
1,746MVPs
372Hours (in match)
901Bombs planted
160Bombs defused

Most-used weapons

Lifetime map wins

2,124dust2
1,317nuke
1,109inferno
410train
389office
342vertigo
3ar_baggage
2ar_shoots

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

Faceit stats

Combat

49Matches
43%Win rate
0.78Avg K/D
68.4ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
13%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1450%0.7711.1
Ancient1050%0.9015.4
Dust2956%0.639.1
Mirage729%0.8411.9
Nuke633%0.9212.7
Anubis30%0.518.7

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.

15.1%Headshot accuracy
32.5%Accuracy (enemy spotted)
37.4%Spray accuracy
73.8%Counter-strafing
10.5°Preaim
610msReaction time
20.9%T opening success
46.7%CT opening success
0.61Enemies flashed / flash
8.0%Flash assists
12.64HE damage / grenade
6.41Flashes / 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 20.9239% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.0213%29 Aug
inferno1–2-0.160%29 Aug
cache3–13-0.0632%29 Aug
inferno4–13-0.0521%28 Aug
ancient4–13-0.0813%28 Aug
dust213–11-0.0910%26 Aug
cache9–13-0.0412%16 Aug
dust23–130.0220%16 Aug
dust28–13-0.0215%16 Aug
dust29–13-0.079%12 Aug
vertigo5–13-0.0213%9 Aug
train13–90.0024%9 Aug
inferno13–60.1015%9 Aug
ancient0–2-0.090%9 Aug
ancient13–9-0.0711%8 Aug
dust213–10-0.0217%31 Jul
vertigo13–90.028%31 Jul
office13–40.0920%31 Jul
anubis13–30.0824%27 Jul
inferno13–9-0.0720%27 Jul
nuke13–4-0.0114%27 Jul
inferno5–13-0.0211%27 Jul
office13–7-0.0411%25 Jul
office5–13-0.0316%25 Jul
anubis13–3-0.049%25 Jul
inferno13–60.0215%24 Jul
nuke8–13-0.0215%23 Jul
inferno7–13-0.0113%22 Jul
office3–13-0.0727%22 Jul
nuke5–13-0.019%22 Jul
office13–8-0.0229%22 Jul
office10–13-0.0126%22 Jul
inferno8–130.0214%22 Jul
mirage13–8-0.0317%21 Jul
dust213–8-0.0218%21 Jul
nuke13–7-0.0116%21 Jul
cache13–8-0.0313%21 Jul
dust213–60.0416%21 Jul
office13–7-0.0812%20 Jul
mirage13–90.027%17 Jul
ancient13–11-0.0110%17 Jul
dust24–13-0.0310%17 Jul
vertigo13–100.1216%17 Jul
mirage6–13-0.0227%16 Jul
cache8–10.0417%16 Jul
office6–13-0.027%16 Jul
cache12–12-0.0320%16 Jul
ancient11–13-0.089%16 Jul
nuke13–9-0.0733%16 Jul
inferno13–3-0.0120%16 Jul
dust213–8-0.0215%15 Jul
nuke13–4-0.0117%15 Jul
cache8–13-0.076%10 Jul
inferno13–11-0.0223%9 Jul
cache15–150.0118%9 Jul
cache13–90.0625%9 Jul
office4–13-0.0233%8 Jul
office7–130.085%8 Jul
nuke13–6-0.0123%8 Jul
dust25–13-0.1122%8 Jul
office4–13-0.0518%8 Jul
cache5–13-0.0513%8 Jul
mirage12–120.0326%8 Jul
mirage12–12-0.0314%8 Jul
nuke13–30.0233%8 Jul
cache7–13-0.0224%8 Jul
anubis13–60.1111%8 Jul
dust211–13-0.0517%8 Jul
dust213–10-0.0421%7 Jul
ancient13–80.0116%7 Jul
cache13–30.0713%7 Jul
cache12–12-0.0215%7 Jul
mirage13–6-0.0313%5 Jul
mirage13–90.0616%5 Jul
dust213–2-0.0115%5 Jul
nuke13–100.0216%30 Jun
cache4–13-0.0925%30 Jun
nuke13–40.0918%29 Jun
dust29–13-0.0513%29 Jun
office9–130.0213%24 Jun
dust29–130.0112%24 Jun
cache13–70.0011%23 Jun
cache12–12-0.0812%22 Jun
train3–13-0.0610%19 Jun
ancient13–60.0412%19 Jun
ancient5–13-0.0217%19 Jun
ancient13–30.0929%19 Jun
nuke13–10.1515%18 Jun
nuke9–13-0.0319%17 Jun
nuke2–13-0.0912%15 Jun
nuke13–40.0229%15 Jun
dust213–9-0.0317%15 Jun
dust28–130.0019%11 Jun
dust29–130.0422%11 Jun
dust210–130.059%11 Jun
mirage7–130.0416%11 Jun
nuke13–5-0.0611%4 Jun
inferno5–13-0.0519%3 Jun
dust211–13-0.0515%2 Jun
nuke5–13-0.0113%29 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 →