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a1ex — CS2 Stats

76561198066676444[U:1:106410716]

628Tracked matches50%Win rate2021Tracked since
4,571Hours in CS20Hrs last 2 wks
CSDB Rating6.9 SolidAggressive Rifler
Premier CS Rating26,059Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#2261 of 24848 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 rate52.4%47.2%49.0%above
Shot accuracy15.8%12.3%13.1%above
Kill/death ratio1.321.071.08above
Match win rate49.4%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.GGa1exFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,059 · Red bandcsdb.gg/stats

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Performance scores

Aim73
Positioning74
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWLLWWLLLWL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.3
Aggression10.0
Utility5.1
Positioning7.4
Opening Duels5.5
Clutch1.8

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.

Your pro match

donk

Plays most like donk 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 587ms 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

Aim7.3
Positioning7.4
Utility5.1
Mechanics7.0
Opening Duels5.5
Win Impact5.0

Composite 6.9/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time591ms+27ms
first ⅓ avg 564ms → last ⅓ avg 591ms
Headshot accuracy24.3%−0.5%
first ⅓ avg 24.8% → last ⅓ avg 24.3%

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.

Highlights

0.27Best rating — vertigo 9–3
13–3Biggest win — dust2
6Longest win streak
10–4In matches decided by ≤2 rounds
17Overtime games

Map breakdown

nukeBest map · 75% over 16infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
ancientB2311–1248%0.02
dust2C219–1243%0.01
nukeS1612–475%0.03
infernoC145–936%0.01
anubisB137–654%0.04
mirage—32–167%0.02
vertigo—33–0100%0.15
train—32–167%-0.00
overpass—21–150%0.02
cache—10–10%-0.04
rooftop—10–10%-0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

155,997Lifetime kills
1.32K/D · Top 25% of Level 8 players
5,053Matches
49.4%Match win rate · Top 25% of Level 8 players
52.4%Headshot % · Top 50% of Level 8 players
15.8%Shot accuracy · Top 25% of Level 8 players
15,277MVPs
2,599Hours (in match)
6,804Bombs planted
1,685Bombs defused

Most-used weapons

AK-4752,905
M4A4 / M4A1-S26,423
AWP23,020
Desert Eagle11,601
P2000 / USP-S10,098
P2506,809
Glock-184,918
FAMAS2,070
UMP-452,023
Tec-91,882

Lifetime map wins

10,813inferno
8,653dust2
3,227cbble
3,028nuke
2,650train
1,368vertigo
561office
309aztec

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

Faceit stats

Combat

832Matches
54%Win rate
1.35Avg K/D
83.0ADR
47%Headshot %

Clutches & streaks

29%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21963%1.1216.9
Ancient1258%1.3316.9
Anubis1182%1.3418.8
Mirage838%1.1418.6
Cache475%1.2416.8
Inferno367%1.2217.7
Nuke367%1.2217.0
Vertigo10%1.3822.0

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.

23.6%Headshot accuracy
33.5%Accuracy (enemy spotted)
34.2%Spray accuracy
81.3%Counter-strafing
10.0°Preaim
587msReaction time
47.7%T opening success
56.1%CT opening success
0.57Enemies flashed / flash
7.7%Flash assists
8.16HE damage / grenade
4.51Flashes / match

Recommended for you

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0423%26 Aug →
cache7–13-0.0414%23 Aug →
inferno6–13-0.0121%14 Aug →
nuke13–100.0117%21 May →
ancient13–100.0224%21 May →
ancient7–13-0.0326%21 May →
dust26–130.0224%3 May →
dust210–13-0.0223%1 May →
anubis13–90.0340%1 May →
anubis7–13-0.0218%18 Apr →
nuke13–100.0625%18 Apr →
nuke13–160.0523%17 Apr →
dust213–70.0424%17 Apr →
ancient9–130.0331%17 Apr →
dust215–150.0129%11 Apr →
dust213–90.0624%11 Apr →
mirage13–90.0235%10 Apr →
ancient13–90.0528%10 Apr →
nuke13–70.0523%10 Apr →
dust213–100.0317%10 Apr →
nuke13–80.0237%10 Apr →
inferno11–130.0014%27 Mar →
ancient13–90.0916%17 Mar →
dust215–150.0114%17 Mar →
ancient6–13-0.0712%24 Nov →
ancient3–13-0.0320%5 Oct →
inferno13–16-0.0229%5 Oct →
rooftop4–9-0.1438%4 Oct →
nuke9–70.1129%4 Oct →
vertigo9–30.2729%4 Oct →
ancient7–13-0.0620%29 Sept →
nuke13–9-0.0027%29 Sept →
ancient1–13-0.0431%29 Sept →
dust26–13-0.0627%29 Sept →
dust27–130.0019%20 Sept →
mirage9–130.0525%20 Sept →
mirage13–80.0022%20 Sept →
nuke13–50.0118%11 Sept →
inferno16–140.0122%11 Sept →
nuke16–140.0318%10 Sept →
nuke7–130.0128%10 Sept →
nuke2–13-0.0521%7 Sept →
ancient13–90.0124%7 Sept →
dust213–7-0.0219%7 Sept →
dust213–4-0.0029%7 Sept →
overpass11–13-0.0321%7 Sept →
overpass16–140.0724%9 Aug →
ancient13–90.1031%9 Aug →
nuke13–8-0.0235%9 Aug →
inferno13–50.0224%9 Aug →
anubis7–130.0725%20 May →
dust27–130.0819%20 May →
anubis16–140.0428%11 May →
ancient5–13-0.0217%11 May →
anubis13–50.1023%5 May →
ancient16–140.0336%5 May →
dust27–130.0015%5 May →
dust213–30.0422%4 May →
anubis13–50.1419%4 May →
anubis14–160.0220%21 Apr →
inferno7–130.0938%18 Apr →
ancient16–14-0.0014%18 Apr →
dust213–80.0126%18 Apr →
inferno8–130.0130%18 Apr →
dust26–13-0.0026%18 Apr →
ancient16–120.1033%18 Apr →
anubis13–10-0.0122%18 Apr →
dust23–13-0.0124%18 Apr →
anubis5–13-0.0027%15 Apr →
dust21–130.0223%15 Apr →
nuke9–130.0322%15 Mar →
ancient9–130.0324%15 Mar →
inferno5–130.0132%15 Mar →
train13–9-0.0023%15 Mar →
nuke16–120.0627%15 Mar →
train7–13-0.0324%12 Mar →
ancient9–130.0418%3 Mar →
dust213–8-0.029%3 Mar →
ancient15–15-0.0122%3 Mar →
anubis16–140.0917%28 Feb →
inferno4–13-0.0120%25 Feb →
ancient4–130.0638%25 Feb →
nuke13–110.0328%25 Feb →
inferno15–15-0.0218%24 Feb →
train13–90.0240%24 Feb →
nuke16–13-0.0121%24 Feb →
ancient13–30.0635%24 Feb →
anubis13–90.0339%23 Feb →
ancient9–40.0622%23 Feb →
inferno13–50.0321%23 Feb →
inferno8–130.0032%3 Jan →
dust211–13-0.0414%3 Jan →
inferno13–60.0419%3 Jan →
anubis10–130.0216%3 Jan →
anubis9–13-0.0226%2 Jan →
vertigo13–40.0934%2 Jan →
ancient10–130.1122%2 Jan →
inferno13–7-0.0029%2 Jan →
ancient13–11-0.0026%2 Jan →
vertigo13–80.0926%2 Jan →

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 →

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