1738--

1738-- — CS2 Stats

76561198169533770[U:1:209268042]Steam profile ↗

1,695Tracked matches52%Win rate2020Tracked since
CSDB Rating6.7 SolidAggressive Rifler
Premier CS Rating24,088Top 25% of 29,473 CSDB-tracked playersPink band · top ~4% of ranked players (population est.)
CSDB Leaderboard#8844 of 53955 tracked
FaceitLevel 10 · 2,474 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG1738--FACEITLevel 10 · 2,474 ELOSTANDINGTop 12.4% of rankedPREMIER24,088 · Pink bandcsdb.gg/stats

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Performance scores

Aim87
Positioning65
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY57403Last 10057%Win rateLLWLWWLLWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.7
Aggression8.3
Utility5.7
Positioning6.5
Opening Duels3.4
Clutch3.4

Sharp aimer

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 94% playstyle similarity

Most alike: opening-fight frequency, 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 87 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.7
Positioning6.5
Utility5.7
Mechanics6.1
Opening Duels3.4
Win Impact5.6

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time551ms−22ms
first ⅓ avg 573ms → last ⅓ avg 551ms
Headshot accuracy25.0%+2.7%
first ⅓ avg 22.4% → last ⅓ avg 25.0%

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

0.18Best rating — cache 13–2
130Biggest win — vertigo
6Longest win streak
L2Current streak
911In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 64% over 22cacheWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A30181260%0.02
anubisA2214864%0.02
ancientA1610663%0.05
cacheD103730%0.04
mirageA85363%0.03
trainC73443%0.02
vertigo32167%0.03
nuke220100%0.00
inferno2020%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

1,621Matches
52%Win rate
1.27Avg K/D
86.8ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust226053%1.2917.4
Ancient24055%1.3419.0
Anubis19756%1.3418.7
Mirage11143%1.2216.6
Nuke5342%1.2617.5
Cache3842%1.2118.5
Vertigo2741%1.1516.2
Inferno2752%1.2714.4

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.

24.5%Headshot accuracy
37.7%Accuracy (enemy spotted)
40.0%Spray accuracy
77.6%Counter-strafing
8.0°Preaim
548msReaction time
40.7%T opening success
46.6%CT opening success
0.51Enemies flashed / flash
8.0%Flash assists
8.63HE damage / grenade
9.39Flashes / match

Recommended for you

Spend your practice time on Cache

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache13–16-0.0120%25 Aug
dust22–13-0.118%20 Aug
dust213–30.0733%20 Aug
dust214–160.0015%20 Aug
mirage7–10.0822%14 Aug
train13–60.0927%14 Aug
train4–130.0231%14 Aug
train0–13-0.0467%14 Aug
train13–20.0415%14 Aug
ancient10–130.0514%12 Aug
anubis13–9-0.0032%11 Aug
cache9–13-0.0420%11 Aug
dust213–110.1015%4 Aug
vertigo13–00.1027%1 Aug
dust213–10.0139%1 Aug
cache5–70.1425%30 Jul
ancient13–10.1742%29 Jul
dust25–13-0.0521%29 Jul
ancient17–19-0.0413%26 Jul
cache11–130.0824%25 Jul
anubis12–120.0835%25 Jul
dust21–8-0.0633%25 Jul
dust214–160.0237%20 Jul
ancient13–20.0728%20 Jul
dust27–130.0727%20 Jul
anubis13–40.0522%20 Jul
anubis13–11-0.0515%18 Jul
dust213–60.0031%18 Jul
dust213–70.1223%18 Jul
anubis13–110.0728%13 Jul
cache13–20.1816%13 Jul
ancient15–150.0723%13 Jul
cache0–2-0.010%13 Jul
dust216–130.1121%9 Jul
ancient4–130.0518%9 Jul
dust213–20.0925%9 Jul
cache13–50.0819%7 Jul
anubis13–100.0414%5 Jul
anubis13–110.0018%4 Jul
cache13–20.1226%3 Jul
anubis13–110.0317%3 Jul
dust211–130.0817%3 Jul
dust213–9-0.0511%30 Jun
ancient13–10.1622%30 Jun
dust213–10-0.0124%29 Jun
dust213–90.0621%28 Jun
nuke13–40.0523%25 Jun
dust28–13-0.0241%25 Jun
cache0–13-0.0818%25 Jun
anubis2–10-0.0314%25 Jun
dust211–10.0217%25 Jun
dust213–4-0.0019%23 Jun
inferno1–13-0.0329%21 Jun
train10–13-0.0417%18 Jun
train13–20.0213%18 Jun
train4–130.0220%18 Jun
mirage7–130.0121%17 Jun
mirage13–9-0.0517%14 Jun
ancient14–160.0215%13 Jun
nuke13–7-0.0531%13 Jun
mirage3–130.0129%13 Jun
dust216–13-0.0022%9 Jun
ancient13–6-0.0016%9 Jun
dust213–40.0426%9 Jun
anubis13–11-0.0316%9 Jun
ancient13–90.0315%9 Jun
anubis6–130.0321%9 Jun
dust211–130.0231%8 Jun
anubis13–90.0218%5 Jun
anubis13–90.0419%5 Jun
mirage13–10-0.0016%5 Jun
mirage13–110.0415%5 Jun
ancient13–110.0412%5 Jun
cache11–13-0.0217%3 Jun
anubis8–130.0714%3 Jun
vertigo8–13-0.0226%3 Jun
vertigo8–20.0215%3 Jun
anubis16–13-0.0119%1 Jun
anubis0–4-0.0128%1 Jun
mirage11–130.0416%1 Jun
dust213–90.0523%30 May
dust213–110.0332%30 May
anubis7–130.0238%30 May
dust28–13-0.0718%29 May
anubis15–150.0418%28 May
ancient13–50.0011%28 May
dust213–30.0725%28 May
mirage13–40.1231%28 May
anubis13–80.0317%28 May
anubis13–70.0224%28 May
inferno4–13-0.0916%28 May
dust210–130.0330%27 May
anubis13–30.0823%21 May
ancient13–30.0937%21 May
dust213–10-0.0120%20 May
dust26–130.0540%20 May
ancient13–100.0828%20 May
ancient13–60.0516%20 May
ancient6–13-0.0027%18 May
anubis6–13-0.0821%17 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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