Saxon

Saxon — CS2 Stats

US76561198115478690[U:1:155212962]Steam profile ↗

659Tracked matches55%Win rate2020Tracked since
1,882Hours in CS19Hrs last 2 wks
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating17,642Purple band · top ~17.9% of ranked players (population est.)
CSDB Leaderboard#10337 of 18670 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate51.1%48.1%above
Shot accuracy16.9%12.9%above
Kill/death ratio1.931.08above
Match win rate50.3%46.5%above

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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CSDB.GGSaxonPREMIER17,642 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning72
Utility35

0–100 skill scores via Leetify.

Recent form

HOT54433Last 10054%Win rateLLWWLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

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

Aim6.2
Aggression10.0
Utility3.5
Positioning7.2
Opening Duels5.6
Clutch6.0

Strong CT-side openerLimited 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

sh1ro

Plays most like sh1ro 86% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.2
Positioning7.2
Utility3.5
Mechanics5.4
Opening Duels5.6
Win Impact6.7

Composite 5.9/10 (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 0.05 → last ⅓ avg 0.04
Reaction time584ms−4ms
first ⅓ avg 588ms → last ⅓ avg 584ms
Headshot accuracy15.3%+0.4%
first ⅓ avg 14.8% → last ⅓ avg 15.3%

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

0.26Best rating — nuke 13–6
131Biggest win — vertigo
8Longest win streak
L2Current streak
109In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 71% over 14ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA169756%0.04
infernoD1541127%0.03
mirageS1410471%0.05
anubisA127558%0.06
cacheA106460%0.03
ancientD92722%0.02
vertigoD62433%0.06
dust2440100%0.08
train43175%0.06
office32167%0.07
overpass32167%0.05
shelter21150%0.06
fachwerk110100%0.01
boulder110100%0.11

Across the last 100 tracked matches.

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

Lifetime stats

76,155Lifetime kills
1.93K/D · Top 5% of tracked players
2,763Matches
50.3%Match win rate · Top 25% of tracked players
51.1%Headshot % · Top 50% of tracked players
16.9%Shot accuracy · Top 25% of tracked players
11,509MVPs
917Hours (in match)
3,069Bombs planted
906Bombs defused

Most-used weapons

Lifetime map wins

4,475dust2
2,202inferno
1,538train
1,343nuke
603office
520cbble
477vertigo
170dust

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

Faceit stats

Combat

11Matches
55%Win rate
1.02Avg K/D
66.8ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%1.1314.8
Vertigo250%1.0018.0
Dust210%0.578.0

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.

15.6%Headshot accuracy
34.2%Accuracy (enemy spotted)
33.5%Spray accuracy
74.4%Counter-strafing
9.1°Preaim
587msReaction time
41.4%T opening success
63.8%CT opening success
0.38Enemies flashed / flash
6.7%Flash assists
12.49HE damage / grenade
2.85Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3826 — below the 0.5 mark we flag

    Grenade Lineups
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.

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–130.0325%28 Aug
ancient10–130.0411%28 Aug
mirage13–90.0910%26 Aug
nuke13–100.0422%26 Aug
inferno7–130.0913%25 Aug
anubis13–110.0611%25 Aug
mirage13–50.1716%25 Aug
cache13–100.0423%25 Aug
ancient13–110.0510%24 Aug
inferno16–140.0311%24 Aug
mirage13–50.0111%23 Aug
nuke16–130.0123%23 Aug
inferno13–110.0512%21 Aug
cache10–130.0028%21 Aug
nuke16–13-0.0117%21 Aug
anubis13–70.159%19 Aug
nuke7–13-0.034%19 Aug
inferno15–150.0321%18 Aug
inferno11–130.0014%17 Aug
anubis11–13-0.0119%17 Aug
dust213–70.0918%10 Aug
nuke13–60.2614%10 Aug
anubis8–130.0414%10 Aug
ancient14–160.0514%10 Aug
cache12–16-0.0414%7 Aug
mirage13–60.0613%7 Aug
inferno11–13-0.0312%1 Aug
mirage13–80.0624%30 Jul
ancient8–130.0121%30 Jul
ancient3–13-0.0711%30 Jul
anubis13–60.0919%25 Jul
anubis13–90.014%22 Jul
inferno5–13-0.0119%22 Jul
inferno8–13-0.018%19 Jul
shelter10–130.0818%19 Jul
cache13–20.0518%19 Jul
anubis13–100.1516%16 Jul
ancient13–30.1111%16 Jul
cache11–10.084%16 Jul
mirage3–130.0313%12 Jul
fachwerk13–90.0115%9 Jul
boulder13–30.1113%9 Jul
shelter9–70.0413%8 Jul
cache13–110.0213%8 Jul
cache13–80.0413%3 Jul
vertigo0–13-0.0026%29 Jun
anubis13–30.147%24 Jun
dust213–90.0221%24 Jun
train13–110.0820%24 Jun
office5–130.0411%24 Jun
nuke13–40.049%24 Jun
mirage13–80.048%24 Jun
ancient11–13-0.0016%21 Jun
mirage10–130.0110%21 Jun
inferno13–40.1913%20 Jun
nuke11–130.0318%20 Jun
mirage7–130.0315%19 Jun
inferno13–30.0211%17 Jun
train13–60.1219%17 Jun
mirage13–30.0712%14 Jun
inferno4–13-0.046%14 Jun
ancient11–130.004%12 Jun
anubis4–13-0.0411%12 Jun
nuke13–70.038%10 Jun
vertigo9–130.0315%7 Jun
vertigo4–130.033%7 Jun
nuke11–13-0.0113%4 Jun
train13–50.0716%27 May
train0–13-0.02100%27 May
inferno6–130.0920%27 May
overpass13–40.089%27 May
nuke13–70.0313%27 May
ancient2–13-0.0410%21 May
cache13–11-0.047%21 May
mirage5–13-0.056%19 May
cache10–130.0514%18 May
office13–80.0410%13 May
office13–60.1420%13 May
nuke4–13-0.0313%12 May
dust213–110.1223%12 May
nuke9–130.0111%12 May
nuke13–80.0628%10 May
mirage13–30.0911%10 May
cache3–130.067%29 Apr
overpass8–130.006%28 Apr
mirage13–110.103%28 Apr
nuke15–150.024%28 Apr
overpass13–70.088%28 Apr
anubis9–13-0.077%28 Apr
anubis10–130.0614%26 Apr
nuke13–50.1015%25 Apr
inferno2–130.0016%25 Apr
mirage16–130.0712%23 Apr
inferno2–13-0.059%13 Apr
vertigo13–100.1216%8 Apr
vertigo13–10.1314%8 Apr
dust213–80.087%7 Apr
inferno12–120.0420%7 Apr
vertigo2–130.047%3 Apr
anubis13–100.1215%1 Apr

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 →