Saucinn — CS2 Stats

76561198330189489[U:1:369923761]✓ No bans

1,213Tracked matches57%Win rate2020Tracked since
2,373Hours in CS31Hrs last 2 wks
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating18,921Purple band · top ~12.8% of ranked players (population est.)
CSDB Leaderboard#5968 of 11637 tracked
FaceitLevel 8 · 1,533 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSaucinnFACEITLevel 8 · 1,533 ELOSTANDINGTop 31.2% of rankedPREMIER18,921 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning49
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY5149Last 10051%Win rateWLWLLWLWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression5.5
Utility6.3
Positioning4.9
Opening Duels1.4
Clutch4.2

Strong 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.

Your pro match

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: utility contribution, 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

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 574ms 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

Aim6.8
Positioning4.9
Utility6.3
Mechanics5.2
Opening Duels1.8
Win Impact7.2

Composite 5.6/10 (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 time567ms−25ms
first ⅓ avg 592ms → last ⅓ avg 567ms
Headshot accuracy17.3%+1.9%
first ⅓ avg 15.4% → last ⅓ avg 17.3%

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

0.13Best rating — ancient 13–8
131Biggest win — dust2
5Longest win streak
1010In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 73% over 15ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B31161552%0.00
mirageB20101050%-0.02
infernoC1881044%0.01
anubisS1511473%0.01
ancientC104640%-0.00
cache4040%-0.03
nuke220100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,369Lifetime kills
1.02K/D
2,770Matches
40.0%Match win rate
42.6%Headshot %
8.6%Shot accuracy
5,795MVPs
1,238Hours (in match)
2,901Bombs planted
758Bombs defused

Most-used weapons

AK-4722,205
AWP7,748
MP91,412
SSG 081,234
P250914

Lifetime map wins

6,492dust2
4,310inferno
927vertigo
891nuke
604train
91cbble
44office
21lake

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

Faceit stats

Combat

493Matches
52%Win rate
1.17Avg K/D
80.2ADR
37%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust216252%1.2216.1
Inferno9052%1.2116.3
Ancient7152%1.1516.4
Mirage6951%1.1015.0
Anubis4751%1.1416.7
Cache1250%0.9614.5
Nuke944%1.1716.8
Train540%0.9814.8

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.

16.8%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.6%Spray accuracy
73.3%Counter-strafing
8.5°Preaim
574msReaction time
26.7%T opening success
44.3%CT opening success
0.65Enemies flashed / flash
5.4%Flash assists
9.87HE damage / grenade
8.94Flashes / 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 26.7491% — below the 40% mark we flag

Spend your practice time on Ancient

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–40.1118%24 Aug
dust28–130.0126%22 Aug
anubis13–100.0416%16 Aug
mirage5–13-0.0815%16 Aug
dust210–130.0726%16 Aug
inferno13–40.0917%16 Aug
mirage7–13-0.039%8 Aug
dust213–30.0219%8 Aug
anubis13–40.0410%8 Aug
mirage13–5-0.0414%29 Jul
dust213–90.0416%29 Jul
inferno11–130.0115%29 Jul
ancient16–120.0513%27 Jul
inferno13–90.009%27 Jul
cache5–13-0.0212%26 Jul
dust26–13-0.0624%26 Jul
mirage5–13-0.0533%26 Jul
dust24–13-0.0313%25 Jul
inferno13–110.0417%25 Jul
dust213–10.1333%25 Jul
dust213–1-0.040%25 Jul
mirage13–10-0.0111%25 Jul
nuke13–10-0.0122%25 Jul
inferno11–13-0.0012%24 Jul
anubis13–8-0.0118%23 Jul
ancient10–13-0.0316%23 Jul
anubis13–60.0311%14 Jul
mirage7–13-0.0221%14 Jul
inferno6–130.0033%14 Jul
ancient13–10-0.069%13 Jul
inferno8–130.0122%12 Jul
ancient13–80.1322%12 Jul
mirage7–13-0.0521%12 Jul
dust26–13-0.0522%12 Jul
mirage9–13-0.0417%12 Jul
anubis3–130.015%12 Jul
anubis10–130.078%12 Jul
inferno13–40.0918%12 Jul
dust211–13-0.029%12 Jul
ancient13–6-0.004%11 Jul
inferno11–13-0.0525%11 Jul
anubis12–7-0.0010%11 Jul
cache11–130.0111%11 Jul
dust213–11-0.0218%11 Jul
inferno13–16-0.0115%11 Jul
nuke13–30.0924%5 Jul
ancient11–130.0411%4 Jul
dust24–13-0.0419%3 Jul
mirage3–13-0.063%26 Jun
anubis16–130.0219%26 Jun
dust25–13-0.0132%22 Jun
dust213–110.0214%22 Jun
mirage9–13-0.0411%21 Jun
inferno9–13-0.0121%21 Jun
dust213–110.0313%21 Jun
dust27–130.0418%21 Jun
mirage13–70.0111%6 Jun
anubis13–8-0.035%6 Jun
anubis9–13-0.0214%6 Jun
mirage13–10-0.0110%6 Jun
cache9–13-0.036%1 Jun
dust28–130.0426%30 May
anubis16–14-0.045%30 May
mirage13–8-0.0114%30 May
inferno13–5-0.0111%30 May
dust211–13-0.0412%30 May
cache8–13-0.068%26 May
dust29–13-0.0311%25 May
dust211–130.0115%22 May
dust213–110.0321%17 May
ancient5–13-0.0410%16 May
dust213–7-0.0114%15 May
mirage9–130.048%10 May
anubis13–110.0023%2 May
inferno13–11-0.0112%26 Apr
dust213–100.0312%25 Apr
inferno10–130.0616%25 Apr
inferno13–5-0.0027%24 Apr
mirage13–40.017%20 Apr
mirage4–13-0.0017%19 Apr
dust213–11-0.0625%19 Apr
ancient9–13-0.0716%19 Apr
anubis13–80.0815%18 Apr
dust216–14-0.0315%18 Apr
mirage13–60.0323%18 Apr
dust22–13-0.096%12 Apr
anubis9–13-0.0118%12 Apr
dust213–70.0222%12 Apr
anubis13–70.0112%12 Apr
mirage13–5-0.0315%11 Apr
inferno7–13-0.0216%11 Apr
dust213–9-0.0010%11 Apr
dust211–130.0016%11 Apr
mirage13–70.0131%4 Apr
mirage13–8-0.0117%4 Apr
ancient8–13-0.018%4 Apr
ancient11–13-0.0516%29 Mar
inferno13–10-0.0311%29 Mar
dust213–80.0711%28 Mar
inferno5–13-0.0412%28 Mar

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 →