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ppppppppppppp — CS2 Stats

FI76561198125325497[U:1:165059769]Steam profile ↗✓ No bans

1,836Tracked matches66%Win rate2020Tracked since
22,306Hours in CS
CSDB Rating7.6 StrongSupport
FaceitLevel 10 · 3,451 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,451 → 3,451
+9Tracked matches · now 1,836
0.0ppWin rate · 65.5% → 65.5%

Rating over time

Premier CS Rating: 24,008 -3,324 8 Sept – 13 Jan · 11 days played
22,76427,332peak 27,3328 Sept13 Jan
27,446Peak Premier in tracked matches
3,451Highest Faceit ELO seen on CSDB
69Days played since 2025-08-27

Faceit ELO

  • At peak — 3,451
  • Next: 3,500 ELO at 3,500 — 49 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-09-20
  • 2,500 ELO first seen 2026-09-20

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 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate63.6%50.9%
Shot accuracy15.7%13.7%
Kill/death ratio0.961.09
Match win rate49.9%48.4%

Share this profile

CSDB.GGpppppppppppppFACEITLevel 10 · 3,451 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,451csdb.gg/stats

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Performance scores

Aim86
Positioning58
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateWWLTLWLLWW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +5.9pp headshot accuracy · +33ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 35%
  • Avg reaction 589ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 35%
  • Avg reaction 569ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 32%
  • Avg reaction 552ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim8.6
Utility6.2
Positioning5.8
Opening Duels5.6
Clutch2.6

Sharp aimerStrong CT-side opener

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

device

Plays most like device 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 570ms 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

Aim8.6
Positioning5.8
Utility6.2
Mechanics7.4
Opening Duels4.4
Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time581ms−13ms
first ⅓ avg 594ms → last ⅓ avg 581ms
Headshot accuracy29.5%−4.1%
first ⅓ avg 33.6% → last ⅓ avg 29.5%

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

0.18Best match rating · 9–7 · poseidon, 26 Aug →
100%Best headshot accuracy · 0–3 · inferno, 8 Sept →
359msFastest reaction time · 0–9 · poseidon, 29 Jul →
13–0Biggest win · nuke, 8 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W2Current streak
9–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 100% over 5anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.02
nukeB2010–1050%0.01
dust2B147–750%-0.00
infernoS1310–377%0.01
anubisD62–433%0.02
cacheS64–267%0.01
ancientS55–0100%0.04
train—42–250%0.05
poseidon—32–167%0.02
office—22–0100%0.04
overpass—20–20%0.02
debris—11–0100%0.01
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

532,694Lifetime kills
0.96K/D
14,842Matches
49.9%Match win rate · Top 50% of Level 10 players
63.6%Headshot % · Top 10% of Level 10 players
15.7%Shot accuracy · Top 50% of Level 10 players
47,032MVPs
22,306Hours (in match)
14,719Bombs planted
6,768Bombs defused

Most-used weapons

AK-47221,138
AWP54,374
Glock-1813,442
P25013,090
Knife9,433
UMP-456,222
SSG 085,100

Lifetime map wins

23,299inferno
17,514dust2
15,811train
13,934nuke
6,552cbble
2,433vertigo
1,091office
879assault

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

Faceit stats

Combat

5,641Matches
57%Win rate
1.15Avg K/D
79.9ADR
58%Headshot %

Clutches & streaks

33%1v1 clutch win
24%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage47352%1.1116.4
Nuke33459%1.1516.3
Dust224352%1.1016.1
Ancient20556%1.1217.1
Inferno16054%1.1416.3
Train9560%1.2216.7
Anubis7952%1.0214.2
Cache7363%1.2816.5

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.

30.8%Headshot accuracy
33.1%Accuracy (enemy spotted)
37.8%Spray accuracy
83.5%Counter-strafing
9.2°Preaim
570msReaction time
32.4%T opening success
62.6%CT opening success
0.55Enemies flashed / flash
3.3%Flash assists
8.75HE damage / grenade
14.43Flashes / 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 32.3575% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0238%29 Aug →
poseidon9–70.1851%26 Aug →
anubis4–130.0332%25 Aug →
anubis15–150.0228%25 Aug →
mirage4–13-0.0727%24 Aug →
cache13–8-0.0238%20 Aug →
inferno14–16-0.0233%20 Aug →
anubis10–13-0.0143%14 Aug →
anubis13–80.0536%10 Aug →
poseidon9–30.0926%10 Aug →
mirage11–130.0341%9 Aug →
anubis8–13-0.0241%7 Aug →
debris9–70.0132%7 Aug →
poseidon0–9-0.210%29 Jul →
inferno13–20.1332%26 Jul →
nuke13–7-0.0126%26 Jul →
mirage13–100.0433%23 Jul →
inferno13–90.0333%9 Jul →
nuke8–130.0030%9 Jul →
mirage16–130.0124%2 Jul →
mirage13–3-0.0211%2 Jul →
cache11–130.0427%30 Jun →
nuke22–20-0.0033%23 Jun →
mirage13–6-0.0036%29 May →
cache13–6-0.0229%27 May →
dust20–13-0.100%27 May →
nuke9–130.1036%26 May →
anubis12–40.0442%22 May →
dust213–90.0429%22 May →
inferno13–30.0120%16 May →
ancient13–40.0117%15 May →
cache16–13-0.0420%14 May →
nuke13–100.0625%13 May →
office13–80.0643%13 May →
office13–60.0236%13 May →
inferno13–30.0126%3 May →
mirage13–5-0.0146%3 May →
cache7–130.0545%1 May →
cache13–90.0630%29 Apr →
nuke13–70.0234%4 Mar →
inferno13–3-0.0223%24 Feb →
dust213–70.0334%13 Feb →
mirage13–4-0.0527%11 Feb →
mirage7–13-0.0443%9 Feb →
mirage13–9-0.0432%9 Feb →
dust213–16-0.0122%5 Feb →
dust216–14-0.0042%2 Feb →
mirage10–13-0.0529%25 Jan →
dust213–7-0.0029%20 Jan →
ancient13–60.0224%20 Jan →
mirage14–16-0.0230%14 Jan →
inferno13–80.0133%13 Jan →
inferno13–110.0332%13 Jan →
dust24–13-0.0637%8 Jan →
dust22–130.0139%7 Jan →
dust20–5-0.0440%7 Jan →
nuke7–130.0138%6 Jan →
nuke11–130.0932%5 Jan →
mirage13–5-0.0026%3 Jan →
train1–50.1544%3 Jan →
mirage13–1-0.0136%31 Dec →
mirage10–130.0150%31 Dec →
dust213–90.1041%30 Dec →
dust215–150.0531%27 Dec →
inferno9–130.0234%27 Dec →
mirage13–110.0235%22 Dec →
dust213–110.0037%21 Dec →
train10–130.0520%19 Dec →
ancient13–100.0930%15 Dec →
mirage7–6-0.0333%3 Dec →
nuke7–13-0.0442%3 Dec →
train13–10-0.0514%27 Nov →
inferno13–8-0.0112%30 Oct →
nuke10–13-0.0124%28 Oct →
nuke8–130.0324%22 Oct →
vertigo7–20.0538%22 Oct →
ancient13–110.0243%7 Oct →
mirage9–13-0.0026%6 Oct →
mirage3–13-0.0437%3 Oct →
inferno13–11-0.0240%2 Oct →
nuke13–8-0.0027%1 Oct →
nuke14–16-0.0222%30 Sept →
nuke9–13-0.0341%21 Sept →
nuke13–50.0127%20 Sept →
overpass11–120.0426%20 Sept →
overpass4–130.0029%18 Sept →
nuke13–5-0.0337%13 Sept →
inferno0–3-0.05100%8 Sept →
mirage13–8-0.0722%8 Sept →
nuke13–00.0459%8 Sept →
train13–30.0440%8 Sept →
dust213–4-0.0130%8 Sept →
inferno16–13-0.0228%8 Sept →
nuke13–100.0634%2 Sept →
mirage6–13-0.0244%2 Sept →
dust29–13-0.0350%28 Aug →
mirage4–13-0.0933%28 Aug →
nuke13–9-0.0118%27 Aug →
nuke8–13-0.0030%27 Aug →
ancient13–80.0827%27 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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