Solttu

Solttu — CS2 Stats

FI76561198930965922[U:1:970700194]Steam profile ↗✓ No bans

459Tracked matches60%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSolttuFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning44
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY55423Last 10055%Win rateLWLLLLWLWW

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

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

Aim7.8
Aggression4.8
Utility3.9
Positioning4.4
Opening Duels0.0

Excellent counter-strafingLimited 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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

Reaction time. 680ms 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

Aim7.8
Positioning4.4
Utility3.9
Mechanics9.2
Opening Duels0.2
Win Impact8.3

Composite 6.0/10 (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 rating0.04+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time680ms+6ms
first ⅓ avg 674ms → last ⅓ avg 680ms
Headshot accuracy20.2%+2.2%
first ⅓ avg 18.0% → last ⅓ avg 20.2%

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

0.29Best rating — nuke 13–2
132Biggest win — nuke
6Longest win streak
103In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 80% over 5ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageS2014670%0.04
nukeS1713476%0.06
cacheB136746%0.01
trainB115645%0.05
infernoA106460%0.06
dust2B63350%-0.00
ancientD61517%-0.02
anubisC52340%-0.01
vertigoS54180%0.06
overpass41325%0.03
agency1010%0.00
grail1010%-0.04
italy1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.0%Headshot accuracy
37.0%Accuracy (enemy spotted)
38.0%Spray accuracy
91.6%Counter-strafing
8.9°Preaim
680msReaction time
31.3%T opening success
27.3%CT opening success
0.64Enemies flashed / flash
3.0%Flash assists
14.14HE damage / grenade
2.26Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.2604 — below the 4 mark we flag

    Grenade Lineups
  2. 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 31.3078% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0640%11 Aug
inferno13–50.0724%7 Aug
inferno11–130.0521%28 Jul
mirage1–13-0.0515%28 Jul
cache10–130.0931%28 Jul
dust29–13-0.0022%26 Jul
mirage7–30.0635%26 Jul
cache6–13-0.0412%26 Jul
cache13–40.1420%17 Jul
inferno13–110.1624%17 Jul
mirage13–40.1317%17 Jul
anubis13–110.0215%17 Jul
nuke5–13-0.084%11 Jul
nuke13–11-0.0120%11 Jul
cache13–80.0020%11 Jul
inferno13–80.0818%28 Jun
mirage13–110.0525%28 Jun
train13–30.1313%20 Jun
cache6–13-0.0514%20 Jun
nuke13–50.1015%20 Jun
train3–13-0.0231%19 Jun
dust213–50.0732%19 Jun
nuke13–90.1011%19 Jun
mirage13–70.2630%19 Jun
overpass3–130.0223%19 Jun
cache2–13-0.0714%29 May
cache4–13-0.0416%13 May
mirage13–11-0.0116%12 May
ancient13–70.079%11 May
cache13–60.0021%8 May
nuke1–130.0227%7 May
cache13–30.109%7 May
cache13–7-0.0125%7 May
cache3–13-0.0314%7 May
cache13–80.0814%6 May
cache0–80.000%5 May
inferno1–120.0211%1 Jun
mirage16–130.0513%1 Jun
train1–13-0.0712%31 May
dust213–30.0221%31 May
inferno13–50.0315%28 May
mirage13–70.0714%28 May
mirage13–11-0.0414%28 May
anubis8–13-0.0610%27 May
nuke10–130.0514%27 May
mirage10–130.0819%26 May
ancient9–130.0514%26 May
dust216–120.0213%26 May
ancient6–10-0.100%24 May
mirage8–130.0622%21 May
agency5–130.0042%21 May
vertigo13–30.109%20 May
inferno13–50.0416%20 May
mirage13–7-0.0017%20 May
mirage13–16-0.0110%20 May
mirage4–13-0.029%20 May
inferno13–70.0416%17 May
mirage13–9-0.0014%12 May
grail6–13-0.0416%12 May
vertigo7–13-0.0112%1 May
vertigo10–20.114%31 Mar
overpass2–13-0.0633%31 Mar
nuke13–90.0426%31 Mar
train8–13-0.0715%22 Feb
overpass13–30.1211%22 Feb
nuke13–60.0811%22 Feb
nuke13–20.2929%12 Feb
nuke13–110.0615%12 Feb
nuke13–70.0222%12 Feb
nuke13–4-0.0123%7 Feb
anubis9–13-0.029%7 Feb
ancient11–13-0.0711%7 Feb
vertigo13–50.0913%12 Jan
train13–60.0320%11 Jan
overpass12–120.0421%11 Jan
ancient7–13-0.0528%10 Jan
nuke13–90.1115%10 Jan
train13–70.1533%10 Jan
nuke8–130.0722%4 Jan
nuke13–40.0414%3 Jan
train9–130.1111%3 Jan
train11–130.0318%2 Jan
mirage13–90.0530%2 Jan
inferno12–120.0729%2 Jan
ancient8–13-0.0012%2 Jan
train13–100.1416%2 Jan
nuke13–100.038%13 Dec
train12–120.038%13 Dec
train13–40.1319%13 Dec
italy2–13-0.0248%14 Oct
dust27–13-0.0716%14 Oct
mirage13–70.0316%14 Oct
anubis10–130.0215%4 Sept
mirage13–110.0119%4 Sept
vertigo13–40.0224%14 Aug
anubis16–140.008%14 Aug
mirage7–130.0113%14 Aug
mirage13–110.0715%11 Jul
inferno8–130.0117%11 Jul
nuke13–80.029%11 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 →