ABU

ABU — CS2 Stats

FI76561198094768953[U:1:134503225]Steam profile ↗✓ No bans

366Tracked matches44%Win rate2020Tracked since
3,503Hours in CS1Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+14Tracked matches · now 366
−7.4ppWin rate · 51.8% → 44.4%

Rating over time

Premier CS Rating: 18,226 -413 20 Aug – 25 Sept · 9 days played
18,22618,639peak 18,63920 Aug25 Sept
18,639Peak Premier in tracked matches
30Days played since 2026-07-17

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=15,525), 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 rate41.9%46.8%48.2%6.3% short
Shot accuracy18.6%13.0%13.2%above
Kill/death ratio1.021.061.070.05 short
Match win rate41.9%46.3%46.9%5.1% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGABUFACEITLevel 8STANDINGTop 31.2% 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

Aim80
Positioning74
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateLLWLWWWWTL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +1.3pp headshot accuracy · +46ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 641ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 634ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 611ms

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 (+1.6 against its own average).

Aim8.0
Utility5.2
Positioning7.4
Opening Duels6.8
Clutch3.6

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

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

CT openings. Opening success drops from 74% on T to 56% on CT — first contacts on the defending side are being lost.

Reaction time. 578ms 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

Aim8.0
Positioning7.4
Utility5.2
Mechanics6.6
Opening Duels8.3
Win Impact3.1

Composite 6.8/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time581ms+11ms
first ⅓ avg 571ms → last ⅓ avg 581ms
Headshot accuracy22.7%−0.7%
first ⅓ avg 23.3% → last ⅓ avg 22.7%

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

0.14Best match rating · 13–2 · inferno, 21 Aug →
42%Best headshot accuracy · 13–8 · cache, 22 Sept →
375msFastest reaction time · 14–16 · ancient, 20 Aug →
13–1Biggest win · mirage, 13 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 67% over 9anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheA1911–858%-0.01
infernoC198–1142%0.00
ancientA1810–856%-0.01
nukeC156–940%0.01
mirageS96–367%0.02
anubisD92–722%-0.01
vertigo—41–325%-0.01
dust2—31–233%0.02
train—21–150%0.06
shelter—10–10%0.05
office—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

125,347Lifetime kills
1.02K/D
4,408Matches
41.9%Match win rate
41.9%Headshot %
18.6%Shot accuracy · Top 10% of Level 8 players
10,633MVPs
1,919Hours (in match)
3,625Bombs planted
897Bombs defused

Most-used weapons

AK-4738,114
Glock-1817,218
AWP10,363
P2502,685
UMP-452,197
Tec-91,654
FAMAS1,635

Lifetime map wins

10,241train
4,915inferno
2,346cbble
1,616dust2
1,382nuke
465vertigo
85office
67lake

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

Faceit stats

Combat

284Matches
60%Win rate
1.18Avg K/D
80.8ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
17Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1753%1.1515.1
Inferno1759%1.1615.5
Nuke1173%1.1915.6
Cache989%1.1515.7
Mirage367%1.3315.0
Anubis333%0.8217.3
Vertigo20%0.6010.5
Dust2250%1.3717.0

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.

22.5%Headshot accuracy
37.7%Accuracy (enemy spotted)
39.9%Spray accuracy
79.5%Counter-strafing
10.0°Preaim
578msReaction time
73.9%T opening success
56.4%CT opening success
0.52Enemies flashed / flash
8.7%Flash assists
8.58HE damage / grenade
7.64Flashes / match

Recommended for you

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–130.0211%4 Nov →
ancient4–12-0.0524%14 Oct →
vertigo13–5-0.0120%14 Oct →
train10–130.1036%13 Oct →
mirage13–10.1034%13 Oct →
ancient13–8-0.0213%13 Oct →
train13–80.0217%12 Oct →
anubis13–60.1424%10 Oct →
dust212–120.0433%10 Oct →
nuke6–13-0.0023%9 Oct →
vertigo5–130.0320%9 Oct →
shelter5–130.0525%9 Oct →
cache8–130.0122%9 Oct →
office10–13-0.0316%8 Oct →
inferno13–7-0.0326%22 Sept →
nuke6–130.0216%22 Sept →
cache13–8-0.0642%22 Sept →
cache13–100.0115%20 Sept →
nuke13–10-0.0118%20 Sept →
dust213–5-0.0221%20 Sept →
inferno9–13-0.0123%20 Sept →
anubis3–130.0221%20 Sept →
mirage13–8-0.0124%20 Sept →
nuke4–13-0.0212%19 Sept →
mirage12–12-0.0016%19 Sept →
cache9–13-0.0836%19 Sept →
cache13–80.0224%19 Sept →
mirage12–120.0717%19 Sept →
dust21–130.0323%17 Sept →
inferno8–13-0.0525%17 Sept →
anubis5–13-0.0421%17 Sept →
cache12–12-0.0121%17 Sept →
inferno13–40.1130%16 Sept →
mirage13–3-0.0029%16 Sept →
ancient8–13-0.0821%15 Sept →
nuke9–13-0.0216%15 Sept →
ancient13–50.0231%13 Sept →
vertigo9–13-0.0517%13 Sept →
cache13–11-0.0119%13 Sept →
nuke13–80.0524%13 Sept →
nuke9–13-0.0426%13 Sept →
ancient13–100.0216%13 Sept →
ancient13–7-0.0030%13 Sept →
anubis11–13-0.0026%13 Sept →
inferno17–19-0.0521%1 Sept →
nuke13–80.0020%1 Sept →
ancient8–130.0017%1 Sept →
inferno6–13-0.0418%30 Aug →
ancient7–13-0.0122%30 Aug →
ancient13–6-0.0122%30 Aug →
inferno10–13-0.066%30 Aug →
cache13–5-0.0224%30 Aug →
nuke13–50.0833%30 Aug →
cache13–1-0.0213%30 Aug →
cache5–13-0.0320%30 Aug →
nuke9–130.0319%30 Aug →
nuke13–50.0717%29 Aug →
inferno13–50.0022%29 Aug →
ancient10–130.0527%29 Aug →
ancient1–13-0.0422%29 Aug →
anubis7–13-0.0510%29 Aug →
ancient6–13-0.0413%27 Aug →
inferno5–13-0.0621%27 Aug →
inferno13–11-0.0011%24 Aug →
nuke6–13-0.0124%24 Aug →
cache16–140.0222%24 Aug →
vertigo8–13-0.0214%23 Aug →
anubis16–14-0.0226%23 Aug →
inferno13–11-0.0020%23 Aug →
inferno11–130.0412%22 Aug →
cache13–30.0122%22 Aug →
nuke13–9-0.0421%22 Aug →
cache13–3-0.0120%22 Aug →
inferno13–3-0.0323%22 Aug →
anubis1–10-0.090%22 Aug →
inferno11–13-0.0217%22 Aug →
nuke6–13-0.0233%22 Aug →
anubis6–130.0229%21 Aug →
ancient13–6-0.0124%21 Aug →
inferno13–50.0625%21 Aug →
ancient13–110.0025%21 Aug →
inferno13–20.1434%21 Aug →
mirage13–40.0129%21 Aug →
ancient13–10.0237%21 Aug →
cache11–13-0.0624%21 Aug →
cache13–10-0.0431%20 Aug →
cache8–130.0129%20 Aug →
cache13–5-0.0130%20 Aug →
ancient13–60.0022%20 Aug →
ancient14–16-0.0728%20 Aug →
mirage7–13-0.0224%19 Aug →
mirage13–30.0327%19 Aug →
inferno4–13-0.0614%19 Aug →
anubis3–13-0.0817%5 Aug →
ancient13–40.0314%2 Aug →
mirage13–70.0116%27 Jul →
inferno14–160.0121%22 Jul →
inferno9–130.0635%18 Jul →
nuke2–6-0.0023%18 Jul →
cache15–150.0720%17 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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