Apistat Commander — CS2 Stats

76561198124326324[U:1:164060596]

1,558Tracked matches33%Win rate2020Tracked since
920Hours in CS
CSDB Rating3.1 Learning
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 rate39.8%42.1%42.5%2.7% short
Shot accuracy10.6%12.1%10.9%0.3% short
Kill/death ratio0.840.990.990.15 short
Match win rate38.3%43.9%44.2%5.9% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Kill/death ratio. 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.

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CSDB.GGApistat CommanderFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim32
Positioning36
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY40573Last 10040%Win rateLLLWLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim3.2
Aggression1.8
Utility2.3
Positioning3.6
Opening Duels0.0

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 65% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 698ms 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

Aim3.2
Positioning3.6
Utility2.3
Mechanics7.1
Opening Duels0.0
Win Impact0.0

Composite 3.1/10 (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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time707ms−33ms
first ⅓ avg 740ms → last ⅓ avg 707ms
Headshot accuracy16.1%+2.6%
first ⅓ avg 13.4% → last ⅓ avg 16.1%

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

0.17Best rating — mirage 13–0
130Biggest win — mirage
4Longest win streak
L3Current streak
910In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 63% over 16officeWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
ancientB21101148%-0.00
mirageA1610663%-0.01
dust2B158753%-0.02
nukeD1421214%-0.02
officeD91811%-0.04
trainB84450%-0.03
anubisC52340%-0.03
agency31233%-0.03
vertigo2020%-0.06
inferno21150%-0.07
cache1010%-0.08
golden1010%-0.07
palacio110100%0.01
overpass1010%-0.07
brewery1010%-0.07

Across the last 100 tracked matches.

Lifetime stats

43,256Lifetime kills
0.84K/D
2,925Matches
38.3%Match win rate
39.8%Headshot %
10.6%Shot accuracy
5,385MVPs
920Hours (in match)
2,318Bombs planted
466Bombs defused

Most-used weapons

AK-4713,922
MAC-102,789
MAG-72,349
AWP1,519
Knife1,149
MP91,053

Lifetime map wins

3,543nuke
3,326dust2
2,244vertigo
1,887inferno
1,730office
842train
101cbble
72italy

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.

15.9%Headshot accuracy
26.4%Accuracy (enemy spotted)
25.7%Spray accuracy
81.7%Counter-strafing
11.1°Preaim
698msReaction time
20.8%T opening success
20.8%CT opening success
0.39Enemies flashed / flash
6.5%Flash assists
9.26HE damage / grenade
2.46Flashes / 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 0.3915 — 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 20.7502% — 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.

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0221%12 Aug
vertigo1–13-0.0514%12 Aug
mirage2–13-0.0821%7 Aug
mirage13–11-0.0614%25 Jul
ancient5–13-0.0328%25 Jul
anubis4–13-0.0714%25 Jul
inferno16–13-0.0710%25 Jul
nuke13–5-0.0024%24 Jul
ancient13–70.0310%24 Jul
ancient13–100.0110%24 Jul
vertigo2–13-0.0618%13 Jun
cache2–13-0.0821%29 Apr
office10–13-0.053%3 Apr
ancient8–13-0.0219%9 Mar
office7–13-0.0610%5 Mar
ancient5–70.0710%7 Feb
nuke1–13-0.1622%26 Nov
dust213–9-0.0624%26 Nov
ancient13–11-0.0610%18 Nov
train13–11-0.0219%8 Nov
mirage13–7-0.0215%8 Nov
ancient4–13-0.058%4 Nov
nuke7–13-0.0513%29 Oct
dust211–130.0411%21 Oct
golden1–13-0.0717%14 Oct
palacio9–30.0120%14 Oct
dust210–13-0.0313%26 Sept
office11–13-0.0619%24 Sept
dust26–13-0.0426%24 Sept
anubis11–13-0.0821%20 Sept
dust28–13-0.0917%19 Sept
office12–12-0.0816%19 Sept
overpass6–13-0.0712%19 Sept
dust213–9-0.0228%16 Sept
ancient13–4-0.049%6 Sept
dust25–13-0.0415%6 Sept
office7–13-0.0111%6 Sept
office12–12-0.0229%4 Sept
dust26–13-0.0223%3 Sept
ancient2–13-0.0421%27 Aug
mirage13–8-0.0416%27 Jun
agency13–4-0.0128%25 Jun
dust213–90.0120%25 Jun
ancient13–40.0412%25 Jun
nuke11–13-0.0129%24 Jun
brewery6–9-0.077%24 Jun
ancient13–110.0214%23 Jun
mirage13–00.1719%23 Jun
ancient16–140.0212%23 Jun
mirage13–80.0116%23 Jun
nuke11–13-0.009%23 Jun
dust216–140.0314%22 Jun
ancient13–50.0411%22 Jun
train3–13-0.0118%21 Jun
mirage13–40.0718%21 Jun
nuke9–13-0.0323%21 Jun
train13–50.0423%20 Jun
anubis4–130.0121%20 Jun
mirage7–13-0.0114%20 Jun
train7–13-0.0117%16 Jun
nuke6–13-0.0311%16 Jun
anubis13–80.0312%16 Jun
office8–13-0.0620%15 Jun
ancient8–13-0.097%15 Jun
ancient9–130.0711%14 Jun
mirage13–10-0.008%13 Jun
nuke12–50.070%13 Jun
ancient13–50.0316%12 Jun
dust213–7-0.0216%12 Jun
mirage13–10-0.022%12 Jun
nuke15–15-0.0410%11 Jun
ancient13–30.0016%11 Jun
nuke11–13-0.0313%11 Jun
ancient4–13-0.0116%11 Jun
mirage11–13-0.0413%11 Jun
agency10–13-0.1015%11 Jun
nuke13–110.0116%10 Jun
train6–13-0.0620%10 Jun
mirage11–130.0417%9 Jun
mirage5–13-0.0713%9 Jun
train13–8-0.0813%8 Jun
dust213–3-0.0117%8 Jun
anubis13–9-0.039%7 Jun
office5–13-0.0010%6 Jun
nuke11–13-0.0015%6 Jun
train10–13-0.0611%6 Jun
dust213–11-0.0214%5 Jun
mirage13–100.0314%4 Jun
inferno9–13-0.0618%23 May
ancient9–130.0114%23 May
train13–6-0.0113%23 May
mirage8–13-0.0413%23 May
agency6–130.0118%23 May
nuke0–9-0.0121%22 May
ancient2–13-0.027%22 May
nuke10–13-0.0111%22 May
mirage7–7-0.020%22 May
ancient6–13-0.025%22 May
office13–9-0.0413%17 May
dust213–90.0322%17 May

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 →