ipak

ipak — CS2 Stats

76561198930716821[U:1:970451093]Steam profile ↗✓ No bans

921Tracked matches30%Win rate2020Tracked since
2,149Hours in CS
CSDB Rating2.7 LearningSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

+19Tracked matches · now 921
+15.7ppWin rate · 14.3% → 30.0%
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. 36 days played since 29 May 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: 20,101 +2,309 29 May30 Jun · 10 days played
17,79220,101peak 20,10129 May30 Jun
20,101Peak Premier in tracked matches
36Days played since 2026-05-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=1,911), 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 1 medianLevel 2 medianvs Level 2
Headshot rate50.2%41.0%41.3%above
Shot accuracy15.2%14.1%12.6%above
Kill/death ratio0.880.950.960.07 short
Match win rate41.0%42.2%42.5%1.5% short

This profile matches the typical Level 2 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGipakFACEITLevel 1STANDINGTop 100.0% 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

Aim38
Positioning23
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY38566Last 10038%Win rateLLWWLLWWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −7.9pp headshot accuracy · −72ms reaction

Win rate 0pp 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 -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 586ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 580ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 616ms

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 (+2.6 against its own average).

Aim3.8
Utility5.0
Positioning2.3
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.

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

Twistzz

Plays most like Twistzz 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.8
Positioning2.3
Utility5.0
Mechanics2.2
Opening Duels0.0
Win Impact0.0

Composite 2.7/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time635ms−39ms
first ⅓ avg 674ms → last ⅓ avg 635ms
Headshot accuracy21.9%+2.5%
first ⅓ avg 19.4% → last ⅓ avg 21.9%

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

0.07Best match rating · 13–2 · alpine, 3 Jun
39%Best headshot accuracy · 7–9 · poseidon, 9 Sept
391msFastest reaction time · 13–5 · inferno, 24 Jun
13–2Biggest win · alpine, 3 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
310In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 57% over 7anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD2882029%-0.04
ancientB126650%-0.05
cacheD113827%-0.05
nukeA95456%-0.06
dust2A74357%-0.04
boulderD62433%-0.03
anubisD51420%-0.01
vertigoD51420%-0.07
italy42250%-0.02
shelter32167%-0.02
inferno31233%-0.00
office2020%-0.10
fachwerk21150%-0.03
debris110100%0.00
poseidon1010%-0.04
alpine110100%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,775Lifetime kills
0.88K/D
7,565Matches
41.0%Match win rate
50.2%Headshot % · Top 25% of Level 1 players
15.2%Shot accuracy · Top 50% of Level 1 players
18,829MVPs
2,149Hours (in match)
5,561Bombs planted
1,354Bombs defused

Most-used weapons

AK-4723,657
AWP12,872
SSG 086,933
Knife3,058
MAC-102,996

Lifetime map wins

11,043lake
2,929dust2
2,427inferno
2,336vertigo
1,747nuke
1,270train
1,026office
443italy

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

Faceit stats

Combat

27Matches
30%Win rate
0.52Avg K/D
ADR
48%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLW

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.

21.7%Headshot accuracy
27.8%Accuracy (enemy spotted)
34.7%Spray accuracy
59.9%Counter-strafing
11.4°Preaim
622msReaction time
15.8%T opening success
24.4%CT opening success
0.56Enemies flashed / flash
3.4%Flash assists
5.97HE damage / grenade
10.41Flashes / 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 15.8167% — below the 40% mark we flag

Spend your practice time on Anubis

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 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0117%9 Sept
ancient6–13-0.0111%9 Sept
mirage13–5-0.0128%9 Sept
boulder6–00.030%9 Sept
office0–4-0.080%9 Sept
italy3–13-0.0727%9 Sept
debris9–60.0036%9 Sept
ancient13–6-0.049%9 Sept
mirage5–13-0.0617%9 Sept
cache5–13-0.1216%9 Sept
poseidon7–9-0.0439%9 Sept
dust27–13-0.0717%7 Sept
mirage7–13-0.0633%7 Sept
mirage13–50.0120%1 Sept
anubis13–80.0221%1 Sept
cache13–3-0.0226%1 Sept
ancient13–5-0.0324%31 Aug
cache11–13-0.0613%31 Aug
mirage11–13-0.0815%30 Aug
boulder9–130.0133%23 Aug
shelter13–100.0120%23 Aug
cache2–13-0.1021%23 Aug
nuke5–13-0.1422%23 Aug
boulder7–13-0.0326%20 Aug
ancient9–13-0.0835%20 Aug
mirage6–13-0.1129%20 Aug
italy13–40.0537%7 Aug
ancient4–130.0026%5 Aug
cache1–13-0.1026%5 Aug
mirage1–13-0.1214%5 Aug
inferno11–130.0117%4 Aug
dust211–130.0026%4 Aug
mirage2–13-0.0525%3 Aug
shelter13–40.0239%2 Aug
ancient5–13-0.1225%2 Aug
fachwerk7–13-0.0638%31 Jul
vertigo3–13-0.1020%30 Jul
cache4–13-0.1231%30 Jul
mirage12–12-0.0633%30 Jul
vertigo10–13-0.0714%30 Jul
ancient11–13-0.0320%30 Jul
boulder11–13-0.1116%29 Jul
inferno7–13-0.0521%29 Jul
boulder11–13-0.0417%23 Jul
anubis15–15-0.0113%23 Jul
cache5–13-0.037%23 Jul
mirage8–130.0631%21 Jul
mirage6–13-0.094%20 Jul
mirage13–4-0.0110%16 Jul
ancient13–6-0.0315%16 Jul
mirage9–13-0.0815%16 Jul
cache13–50.0416%12 Jul
mirage15–15-0.0216%12 Jul
boulder13–5-0.0413%12 Jul
dust25–13-0.0827%12 Jul
fachwerk13–110.0024%11 Jul
nuke13–10-0.075%11 Jul
italy3–13-0.0938%11 Jul
shelter4–13-0.0730%11 Jul
mirage8–13-0.0413%11 Jul
cache13–6-0.049%7 Jul
mirage12–12-0.0427%6 Jul
mirage8–13-0.0115%6 Jul
cache2–13-0.0236%6 Jul
cache3–130.0012%5 Jul
mirage13–3-0.0910%30 Jun
nuke13–3-0.0624%30 Jun
mirage9–13-0.0514%24 Jun
inferno13–50.0324%24 Jun
dust213–50.0225%22 Jun
nuke16–12-0.0920%14 Jun
nuke13–4-0.0315%13 Jun
ancient6–13-0.1219%13 Jun
mirage1–13-0.060%13 Jun
mirage1–13-0.0712%13 Jun
nuke6–13-0.0537%12 Jun
dust213–9-0.0318%12 Jun
ancient13–9-0.0419%12 Jun
mirage13–10-0.0122%12 Jun
vertigo13–60.0320%6 Jun
anubis0–13-0.1036%4 Jun
nuke9–13-0.0736%4 Jun
mirage12–12-0.0022%4 Jun
alpine13–20.0724%3 Jun
vertigo4–13-0.119%3 Jun
ancient13–3-0.0615%3 Jun
office2–13-0.1212%3 Jun
mirage13–2-0.0631%3 Jun
vertigo4–13-0.0810%3 Jun
mirage10–13-0.0217%2 Jun
nuke13–7-0.0310%2 Jun
ancient13–5-0.0314%2 Jun
dust213–11-0.0718%2 Jun
mirage13–80.0324%31 May
mirage11–13-0.0129%31 May
italy13–100.0430%29 May
dust213–11-0.0719%29 May
nuke8–80.0115%29 May
mirage13–9-0.096%29 May
anubis11–130.0618%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 →