Pizza Slice

Pizza Slice — CS2 Stats

76561198100875938[U:1:140610210]Steam profile ↗✓ No bans

464Tracked matches55%Win rate2020Tracked since
4,266Hours in CS1Hrs last 2 wks
CSDB Rating5.7 SolidClutch Specialist
Premier CS Rating14,535Blue band · top ~30.9% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,535 -1,665 30 Aug – 29 Oct · 32 days played
13,65116,695peak 16,69530 Aug29 Oct
16,749Peak Premier in tracked matches
31Days played since 2026-08-30

Premier CS Rating

  • 2,160 below peak (16,695)
  • -706 over 30 days · declining
  • Next: Purple band at 15,000 — 465 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate38.5%43.8%44.8%6.3% short
Shot accuracy14.3%12.0%12.4%above
Kill/death ratio0.911.021.030.13 short
Match win rate35.5%44.7%45.2%9.7% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPizza SliceFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,535 · Blue bandcsdb.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

Aim69
Positioning52
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateWWWLLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.7pp headshot accuracy · −26ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 549ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 545ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 557ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.1 against its own average).

Aim6.9
Utility5.2
Positioning5.2
Opening Duels2.1
Clutch7.0

Strong CT-side openerReliable in 1v1s

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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms 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

Aim6.9
Positioning5.2
Utility5.2
Mechanics8.0
Opening Duels2.3
Win Impact6.7

Composite 5.7/10 (Solid), 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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time559ms−1ms
first ⅓ avg 561ms → last ⅓ avg 559ms
Headshot accuracy17.5%−0.5%
first ⅓ avg 18.0% → last ⅓ avg 17.5%

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

0.16Best match rating · 9–5 · inferno, 28 Sept →
39%Best headshot accuracy · 11–0 · nuke, 14 Sept →
391msFastest reaction time · 8–13 · vertigo, 1 Oct →
13–1Biggest win · inferno, 9 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
8–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 67% over 9mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B2111–1052%0.01
nukeA1710–759%0.01
cacheC166–1038%-0.00
mirageD154–1127%-0.01
infernoC145–936%0.02
ancientS96–367%0.02
anubisC52–340%-0.02
train—11–0100%-0.08
overpass—10–10%-0.03
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,621Lifetime kills
0.91K/D
3,552Matches
35.5%Match win rate
38.5%Headshot %
14.3%Shot accuracy · Top 50% of Level 5 players
6,543MVPs
1,354Hours (in match)
3,042Bombs planted
631Bombs defused

Most-used weapons

Lifetime map wins

16,160dust2
1,957inferno
1,132nuke
186vertigo
139train
57cbble
50dust
18office

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

Faceit stats

Combat

39Matches
51%Win rate
1.09Avg K/D
75.5ADR
44%Headshot %

Clutches & streaks

55%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2967%1.2614.9
Mirage520%0.8516.6
Ancient450%1.3713.5
Inferno333%1.2319.3
Anubis2100%1.0012.0
Cache250%0.8010.5
Vertigo10%0.7911.0

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.

17.2%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.1%Spray accuracy
85.8%Counter-strafing
9.6°Preaim
562msReaction time
30.8%T opening success
47.6%CT opening success
0.44Enemies flashed / flash
4.6%Flash assists
7.08HE 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. 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 0.4445 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 30.8157% — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.0621%29 Oct →
inferno13–11-0.0327%19 Oct →
ancient8–20.0718%19 Oct →
mirage11–13-0.0215%19 Oct →
inferno10–130.0323%19 Oct →
inferno16–13-0.0620%18 Oct →
nuke11–13-0.0514%17 Oct →
nuke10–13-0.0320%17 Oct →
mirage3–13-0.0724%15 Oct →
mirage7–13-0.0018%11 Oct →
cache14–160.0013%11 Oct →
cache16–14-0.039%10 Oct →
cache2–13-0.0717%10 Oct →
ancient13–7-0.0915%10 Oct →
nuke15–150.0117%10 Oct →
ancient10–130.0215%9 Oct →
mirage13–9-0.0016%9 Oct →
nuke13–100.0116%9 Oct →
inferno13–10.1329%9 Oct →
cache13–11-0.0217%9 Oct →
anubis3–13-0.0616%9 Oct →
mirage13–70.0410%8 Oct →
train13–8-0.0821%8 Oct →
inferno13–70.0214%8 Oct →
nuke13–6-0.020%8 Oct →
inferno9–130.0312%7 Oct →
mirage13–11-0.0210%7 Oct →
nuke13–10-0.0324%7 Oct →
cache7–13-0.0124%7 Oct →
nuke14–160.0227%7 Oct →
cache10–13-0.0511%7 Oct →
inferno10–130.0424%7 Oct →
cache4–130.0124%5 Oct →
dust29–130.0129%5 Oct →
dust213–100.0523%4 Oct →
cache13–30.0226%4 Oct →
mirage9–130.0417%4 Oct →
mirage9–13-0.0418%1 Oct →
nuke16–140.0527%1 Oct →
overpass12–12-0.0319%1 Oct →
vertigo8–13-0.0221%1 Oct →
cache13–80.0227%28 Sept →
inferno9–50.1622%28 Sept →
mirage9–13-0.0224%28 Sept →
cache4–130.0623%28 Sept →
cache15–15-0.0016%26 Sept →
cache14–160.029%24 Sept →
mirage5–13-0.0619%23 Sept →
dust213–110.0126%23 Sept →
nuke7–13-0.0618%22 Sept →
dust24–130.1214%22 Sept →
cache13–60.0116%22 Sept →
nuke9–130.0012%21 Sept →
mirage14–16-0.0212%21 Sept →
dust21–13-0.0814%21 Sept →
dust215–15-0.0310%20 Sept →
nuke13–60.0415%20 Sept →
dust213–90.0318%20 Sept →
ancient9–13-0.0313%20 Sept →
inferno11–13-0.0310%20 Sept →
dust215–15-0.0413%19 Sept →
dust213–50.0923%19 Sept →
mirage13–16-0.0122%18 Sept →
nuke13–11-0.0117%18 Sept →
ancient13–70.0522%17 Sept →
anubis13–20.1027%17 Sept →
ancient13–10-0.0013%17 Sept →
mirage6–13-0.0620%16 Sept →
mirage13–80.0215%16 Sept →
dust213–90.0016%16 Sept →
anubis13–6-0.0111%15 Sept →
inferno6–13-0.0327%14 Sept →
cache13–4-0.0225%14 Sept →
nuke11–00.0739%14 Sept →
dust213–40.0113%14 Sept →
ancient13–10.1627%14 Sept →
dust24–13-0.0629%13 Sept →
inferno3–13-0.0010%9 Sept →
cache2–13-0.0026%9 Sept →
dust213–80.0519%9 Sept →
nuke10–13-0.0110%9 Sept →
anubis5–13-0.0725%8 Sept →
ancient13–40.0715%8 Sept →
cache10–130.0217%8 Sept →
dust24–13-0.0520%8 Sept →
ancient11–13-0.0613%8 Sept →
dust213–110.019%8 Sept →
dust213–30.0418%8 Sept →
dust213–70.0917%8 Sept →
dust29–13-0.0012%7 Sept →
nuke13–30.0517%7 Sept →
inferno15–150.006%7 Sept →
dust27–13-0.036%7 Sept →
anubis7–13-0.0530%7 Sept →
mirage9–13-0.0115%7 Sept →
inferno10–13-0.0020%7 Sept →
nuke13–70.0315%7 Sept →
inferno15–15-0.0414%6 Sept →
dust213–60.0225%6 Sept →
dust211–130.0617%6 Sept →

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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