apples

apples — CS2 Stats

FI76561198049047194[U:1:88781466]Steam profile ↗✓ No bans

1,336Tracked matches33%Win rate2020Tracked since
3,910Hours in CS3Hrs last 2 wks
CSDB Rating4.3 DevelopingSupport
Premier CS Rating14,187Blue band · top ~32.7% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (2 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.

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. 33 days played since 23 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 14,187 -1,553 23 Jun19 Sept · 25 days played
13,31515,740peak 15,74023 Jun19 Sept
16,926Peak Premier in tracked matches
33Days played since 2026-06-23

Premier CS Rating

  • 1,553 below peak (15,740)
  • -584 over 30 days · declining
  • -1,553 over 90 days
  • Next: Purple band at 15,000 813 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=20,242), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.7%41.9%44.3%6.6% short
Shot accuracy16.8%9.6%11.8%above
Kill/death ratio0.820.981.030.21 short
Match win rate41.7%43.8%45.2%3.5% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGapplesPREMIER14,187 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning42
Utility45

0–100 skill scores via Leetify.

Recent form

COLD43552Last 10043%Win rateLLWLLLWWLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · +11ms 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

  • 14 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 563ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 20

  • 515 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 586ms

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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim6.8
Utility4.5
Positioning4.2
Opening Duels1.9
Clutch1.8

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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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. 595ms 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

Aim6.8
Positioning4.2
Utility4.5
Mechanics5.7
Opening Duels1.6
Win Impact0.0

Composite 4.3/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time607ms−20ms
first ⅓ avg 627ms → last ⅓ avg 607ms
Headshot accuracy16.8%+2.7%
first ⅓ avg 14.1% → last ⅓ avg 16.8%

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

0.09Best match rating · 13–4 · ancient, 11 Jul
31%Best headshot accuracy · 8–13 · inferno, 29 Aug
406msFastest reaction time · 13–10 · anubis, 5 Jul
13–0Biggest win · anubis, 20 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
95In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 75% over 8nukeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
ancientC2391439%-0.02
anubisB20101050%-0.03
infernoC1981142%-0.02
mirageB115645%-0.03
nukeD102820%-0.03
cacheS86275%-0.01
overpass31233%-0.00
dust221150%-0.02
train2020%-0.03
vertigo1010%-0.06
boulder110100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,712Lifetime kills
0.82K/D
5,183Matches
41.7%Match win rate
37.7%Headshot %
16.8%Shot accuracy · Top 25% of Blue band
8,546MVPs
2,104Hours (in match)
3,166Bombs planted
945Bombs defused

Most-used weapons

AK-4719,345
AWP4,839
MP74,419
FAMAS2,708
P2502,685
SG 5532,535

Lifetime map wins

5,144inferno
3,256dust2
2,604nuke
2,107train
1,149cbble
572office
567vertigo
305italy

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

Faceit stats

Combat

23Matches
43%Win rate
0.90Avg K/D
81.7ADR
42%Headshot %

Clutches & streaks

29%1v1 clutch win
11%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno683%1.1519.8
Mirage40%0.7313.5
Dust2333%0.7814.3
Ancient367%1.0116.3
Anubis20%0.6911.5
Cache10%0.569.0
Vertigo10%1.0015.0
Nuke1100%1.5018.0

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
37.4%Accuracy (enemy spotted)
43.0%Spray accuracy
75.6%Counter-strafing
11.6°Preaim
595msReaction time
38.2%T opening success
34.5%CT opening success
0.45Enemies flashed / flash
7.2%Flash assists
11.27HE damage / grenade
4.07Flashes / 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 0.451 — 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 38.2176% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–160.0011%19 Sept
vertigo10–13-0.0619%16 Sept
dust212–3-0.0214%16 Sept
train8–13-0.0410%16 Sept
inferno4–13-0.0412%13 Sept
inferno13–16-0.0629%3 Sept
ancient13–1-0.0412%3 Sept
mirage13–8-0.0112%2 Sept
nuke7–13-0.0425%1 Sept
dust210–13-0.0316%1 Sept
anubis9–13-0.0515%31 Aug
inferno10–130.0219%30 Aug
ancient16–13-0.038%30 Aug
cache13–5-0.0216%30 Aug
inferno12–16-0.0416%29 Aug
ancient7–130.0321%29 Aug
mirage0–13-0.0820%29 Aug
ancient6–13-0.0120%29 Aug
ancient5–13-0.0711%29 Aug
inferno8–130.0531%29 Aug
anubis16–14-0.0411%19 Aug
ancient7–13-0.0419%12 Aug
anubis13–60.0120%11 Aug
ancient9–130.0221%11 Aug
inferno11–13-0.0623%3 Aug
cache13–90.0311%2 Aug
mirage5–130.0019%2 Aug
ancient13–110.0118%2 Aug
train0–13-0.0316%2 Aug
cache13–4-0.0022%1 Aug
inferno13–11-0.0215%1 Aug
anubis16–140.0516%1 Aug
cache5–13-0.058%1 Aug
anubis10–13-0.0516%1 Aug
nuke9–13-0.0112%1 Aug
anubis4–13-0.0617%1 Aug
ancient5–13-0.0610%31 Jul
ancient13–100.0116%28 Jul
nuke9–13-0.048%28 Jul
boulder13–60.0613%26 Jul
mirage11–13-0.0621%25 Jul
inferno13–16-0.0725%25 Jul
nuke10–130.0425%23 Jul
ancient5–13-0.0625%23 Jul
inferno4–130.0324%21 Jul
ancient13–70.0422%21 Jul
cache10–130.0023%21 Jul
anubis13–0-0.0114%20 Jul
nuke13–10-0.0221%20 Jul
inferno13–70.0616%20 Jul
ancient9–13-0.0520%18 Jul
ancient13–20.0115%18 Jul
cache13–100.0020%18 Jul
ancient13–6-0.0130%18 Jul
anubis8–13-0.0815%15 Jul
nuke1–13-0.0721%11 Jul
ancient13–40.0922%11 Jul
anubis6–13-0.0110%11 Jul
nuke13–110.0012%11 Jul
ancient15–15-0.057%11 Jul
inferno11–13-0.029%11 Jul
mirage13–10-0.038%11 Jul
anubis10–13-0.0213%11 Jul
mirage11–13-0.0614%11 Jul
cache13–9-0.0518%10 Jul
anubis7–13-0.1015%10 Jul
inferno16–13-0.0217%5 Jul
overpass13–0-0.0011%5 Jul
anubis13–10-0.0616%5 Jul
nuke10–13-0.046%5 Jul
anubis13–2-0.0511%5 Jul
inferno13–5-0.0111%5 Jul
overpass8–13-0.0210%5 Jul
mirage15–15-0.0117%5 Jul
mirage13–8-0.0812%4 Jul
ancient11–13-0.0514%4 Jul
anubis13–50.0015%4 Jul
inferno13–2-0.0522%4 Jul
nuke5–13-0.0612%3 Jul
inferno6–13-0.0320%3 Jul
overpass8–130.0120%3 Jul
ancient1–13-0.158%3 Jul
anubis13–11-0.058%3 Jul
mirage5–13-0.0122%3 Jul
anubis13–80.0213%30 Jun
ancient13–11-0.0014%30 Jun
anubis10–13-0.059%28 Jun
cache13–20.0423%28 Jun
inferno4–13-0.0019%27 Jun
ancient8–13-0.0515%27 Jun
ancient4–13-0.0310%23 Jun
nuke4–13-0.0414%23 Jun
ancient9–13-0.0720%23 Jun
mirage13–10-0.009%23 Jun
inferno13–110.0324%23 Jun
anubis13–100.0117%23 Jun
inferno11–1-0.0711%23 Jun
mirage13–9-0.0112%23 Jun
anubis3–13-0.017%23 Jun
inferno13–11-0.0415%23 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →