PaAcCoO ◥◣◆◢◤

PaAcCoO ◥◣◆◢◤ — CS2 Stats

DE76561197967818600[U:1:7552872]Steam profile ↗✓ No bans

2,325Tracked matches59%Win rate2020Tracked since
9,857Hours in CS30Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating16,829Purple band · top ~21.1% of ranked players (population est.)
FaceitLevel 8 · 1,710 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (4 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: 16,829 -2,394 27 May – 29 Sept · 18 days played
15,62219,223peak 19,22327 May29 Sept
19,223Peak Premier in tracked matches
1,710Highest Faceit ELO seen on CSDB
48Days played since 2026-05-25

Faceit ELO

  • At peak — 1,710
  • Next: Level 9 at 1,751 — 41 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 2,394 below peak (19,223)
  • +1,207 over 30 days · improving
  • -24 over 90 days
  • Next: Pink band at 20,000 — 3,171 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 Level 8 among CSDB-tracked players (n=14,762), 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 8 medianLevel 9 medianvs Level 9
Headshot rate49.1%46.8%48.2%meets
Shot accuracy13.5%13.0%13.3%meets
Kill/death ratio1.271.061.07above
Match win rate55.5%46.3%46.9%above

Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGPaAcCoO ◥◣◆◢◤FACEITLevel 8 · 1,710 ELOSTANDINGTop 31.2% of rankedPREMIER16,829 · Purple bandPEAK ELO1,710csdb.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

Aim72
Positioning63
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateWWWLLWLLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +7.1pp headshot accuracy · −5ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 603ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 582ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 585ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim7.2
Utility4.5
Positioning6.3
Opening Duels5.6
Clutch3.6

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

donk

Plays most like donk 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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. 598ms 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

Aim7.2
Positioning6.3
Utility4.5
Mechanics5.5
Opening Duels5.0
Win Impact7.9

Composite 6.2/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time603ms−62ms
first ⅓ avg 665ms → last ⅓ avg 603ms
Headshot accuracy19.3%+0.2%
first ⅓ avg 19.1% → last ⅓ avg 19.3%

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.

Personal bests

0.22Best match rating · 13–5 · dust2, 2 Jun →
46%Best headshot accuracy · 0–13 · dust2, 13 Jul →
414msFastest reaction time · 13–11 · anubis, 21 Jul →
13–2Biggest win · dust2, 26 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
10–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 80% over 5nukeWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B4222–2052%0.01
infernoA1912–763%0.01
nukeC125–742%0.01
ancientC94–544%-0.01
cacheA95–456%0.02
anubisS54–180%0.05
mirage—42–250%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,768Lifetime kills
1.27K/D · Top 25% of Level 8 players
4,571Matches
55.5%Match win rate · Top 10% of Level 8 players
49.1%Headshot % · Top 50% of Level 8 players
13.5%Shot accuracy · Top 50% of Level 8 players
20,187MVPs
1,822Hours (in match)
3,836Bombs planted
1,175Bombs defused

Most-used weapons

AK-4738,761
AWP15,137
MAC-101,961
Knife1,722
MP91,586
MP71,348

Lifetime map wins

20,759dust2
8,798inferno
2,862nuke
1,329train
640vertigo
498cbble
219office
175italy

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

Faceit stats

Combat

1,191Matches
50%Win rate
1.19Avg K/D
90.9ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust236148%1.1718.6
Inferno20151%1.2118.9
Ancient19351%1.1618.5
Nuke10046%1.1518.3
Anubis7156%1.2718.6
Overpass6356%1.2019.0
Cache2850%1.1617.1
Mirage2433%0.9316.2

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.

19.2%Headshot accuracy
36.3%Accuracy (enemy spotted)
40.0%Spray accuracy
74.6%Counter-strafing
9.4°Preaim
598msReaction time
44.0%T opening success
56.1%CT opening success
0.57Enemies flashed / flash
4.9%Flash assists
7.28HE damage / grenade
4.99Flashes / match

Recommended for you

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–4-0.0224%29 Sept →
mirage13–5-0.0611%29 Sept →
inferno13–8-0.0036%28 Sept →
mirage5–13-0.0126%28 Sept →
nuke10–13-0.0238%25 Sept →
ancient13–100.0113%21 Sept →
dust25–13-0.0418%19 Sept →
dust211–13-0.0019%7 Sept →
cache13–70.0525%1 Sept →
ancient11–130.0817%28 Aug →
dust28–13-0.0810%25 Aug →
ancient13–10-0.0214%24 Aug →
dust214–160.0017%19 Aug →
ancient13–10-0.0215%18 Aug →
dust216–140.019%18 Aug →
dust213–90.0320%16 Aug →
cache6–13-0.0616%13 Aug →
inferno4–130.0220%5 Aug →
dust212–120.0323%30 Jul →
dust213–9-0.0012%30 Jul →
nuke10–130.0218%30 Jul →
dust211–130.0320%30 Jul →
cache13–70.0322%29 Jul →
inferno9–130.0221%28 Jul →
anubis13–100.0814%28 Jul →
inferno13–50.0720%28 Jul →
nuke13–40.1021%28 Jul →
dust213–60.1126%28 Jul →
dust213–50.1324%28 Jul →
inferno22–180.0418%27 Jul →
dust213–110.0015%27 Jul →
nuke11–13-0.0017%26 Jul →
dust213–20.0120%26 Jul →
cache13–6-0.0616%26 Jul →
dust24–130.0123%26 Jul →
ancient8–13-0.0322%26 Jul →
nuke16–14-0.0424%24 Jul →
dust213–160.0427%23 Jul →
inferno13–30.0326%22 Jul →
anubis13–110.0915%22 Jul →
dust213–9-0.0431%22 Jul →
cache13–50.1725%22 Jul →
dust213–90.0219%21 Jul →
cache13–80.0526%21 Jul →
anubis13–110.0527%21 Jul →
ancient10–130.0630%21 Jul →
dust213–50.1125%21 Jul →
inferno7–9-0.0318%21 Jul →
dust211–130.0015%21 Jul →
inferno11–130.0319%21 Jul →
dust26–13-0.0122%20 Jul →
dust213–40.026%20 Jul →
dust213–90.0012%20 Jul →
dust20–13-0.080%20 Jul →
inferno13–50.0813%15 Jul →
nuke7–130.0115%13 Jul →
inferno7–130.0128%13 Jul →
cache12–120.0523%13 Jul →
dust20–13-0.0346%13 Jul →
inferno13–90.0113%13 Jul →
cache5–130.0015%11 Jul →
nuke13–40.0915%9 Jul →
anubis8–130.0119%9 Jul →
dust27–13-0.028%8 Jul →
dust213–9-0.0619%7 Jul →
dust211–13-0.0118%5 Jul →
dust213–90.0326%5 Jul →
inferno13–11-0.0222%5 Jul →
nuke13–40.0226%5 Jul →
dust27–130.0324%4 Jul →
nuke6–13-0.0416%4 Jul →
dust213–90.0115%4 Jul →
anubis13–70.0422%1 Jul →
ancient1–6-0.100%1 Jul →
nuke7–130.0121%30 Jun →
nuke13–10-0.0614%27 Jun →
dust213–5-0.0241%25 Jun →
dust24–13-0.095%23 Jun →
inferno13–8-0.0311%23 Jun →
dust26–13-0.0724%23 Jun →
dust25–13-0.0333%21 Jun →
inferno13–70.0418%21 Jun →
mirage5–80.0828%6 Jun →
ancient4–13-0.0619%6 Jun →
nuke15–15-0.0216%6 Jun →
ancient13–80.0315%6 Jun →
inferno10–130.0621%6 Jun →
inferno4–13-0.0729%5 Jun →
cache1–10-0.0230%3 Jun →
dust22–110.1122%3 Jun →
dust28–130.0110%2 Jun →
dust213–50.2219%2 Jun →
inferno19–15-0.0119%31 May →
inferno13–11-0.0012%29 May →
dust213–90.0617%29 May →
inferno13–11-0.0217%29 May →
dust213–90.0321%29 May →
dust216–14-0.0415%28 May →
dust213–5-0.0210%27 May →
dust213–110.0020%25 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 →

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