Son Gohan ssj2

Son Gohan ssj2 — CS2 Stats

DE76561198024425297[U:1:64159569]Steam profile ↗✓ No bans

1,398Tracked matches63%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating18,770Top 50% of 201,122 CSDB-tracked playersPurple band · top ~13.4% of ranked players (population est.)
CSDB Leaderboard#97054 of 247939 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,770 +69 30 Jun – 1 Oct · 46 days played
16,78020,489peak 20,48930 Jun1 Oct
20,726Peak Premier in tracked matches
63Days played since 2026-06-29

Premier CS Rating

  • 1,719 below peak (20,489)
  • -466 over 30 days · declining
  • +88 over 90 days
  • Next: Pink band at 20,000 — 1,230 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGSon Gohan ssj2FACEITLevel 7STANDINGTop 42.3% of rankedPREMIER18,770 · Purple bandcsdb.gg/stats

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Performance scores

Aim49
Positioning73
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWLLWLLLWLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +2.4pp headshot accuracy · +16ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 558ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 550ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim4.9
Utility6.1
Positioning7.3
Opening Duels6.7
Clutch2.8

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 66% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 555ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.9
Positioning7.3
Utility6.1
Mechanics3.4
Opening Duels6.6
Win Impact9.4

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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time552ms−35ms
first ⅓ avg 586ms → last ⅓ avg 552ms
Headshot accuracy14.3%−1.7%
first ⅓ avg 15.9% → last ⅓ avg 14.3%

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.

Personal bests

0.21Best match rating · 9–1 · debris, 13 Aug →
36%Best headshot accuracy · 3–13 · dust2, 30 Jun →
375msFastest reaction time · 7–13 · anubis, 20 Jul →
13–0Biggest win · nuke, 25 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 67% over 21dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
cacheC3013–1743%0.02
ancientS2114–767%0.03
nukeB189–950%0.02
dust2D113–827%-0.05
anubisA117–464%0.01
mirage—42–250%0.03
inferno—21–150%-0.00
vertigo—10–10%-0.13
debris—11–0100%0.21
overpass—11–0100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

263Matches
51%Win rate
1.31Avg K/D
83.9ADR
41%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4154%1.2516.7
Nuke3364%1.4520.0
Inferno2552%1.1117.3
Train1354%1.1917.1
Anubis540%1.6520.2
Dust230%0.9014.0
Vertigo10%1.2520.0
Overpass1100%1.8815.0

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.

14.8%Headshot accuracy
32.2%Accuracy (enemy spotted)
37.5%Spray accuracy
65.4%Counter-strafing
11.3°Preaim
555msReaction time
52.6%T opening success
60.0%CT opening success
0.51Enemies flashed / flash
6.8%Flash assists
10.57HE damage / grenade
4.75Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7863% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–60.0815%1 Oct →
dust28–13-0.0421%30 Sept →
cache4–13-0.0711%30 Sept →
mirage13–90.1020%29 Sept →
nuke8–130.0120%29 Sept →
cache8–13-0.0014%28 Sept →
ancient7–130.0120%8 Sept →
cache13–11-0.0216%8 Sept →
ancient10–13-0.0210%7 Sept →
ancient13–11-0.0119%5 Sept →
cache13–60.0616%5 Sept →
ancient13–100.0716%5 Sept →
nuke6–130.0415%4 Sept →
ancient13–50.0317%3 Sept →
anubis13–50.0714%2 Sept →
cache5–13-0.0110%1 Sept →
anubis13–100.0412%1 Sept →
nuke16–120.0220%31 Aug →
nuke13–70.029%30 Aug →
inferno14–16-0.0813%29 Aug →
anubis13–90.0414%28 Aug →
anubis13–8-0.0111%27 Aug →
nuke13–10.1720%26 Aug →
nuke13–00.1814%25 Aug →
ancient13–11-0.024%24 Aug →
anubis2–13-0.0118%24 Aug →
nuke11–13-0.0314%23 Aug →
ancient13–50.0414%22 Aug →
ancient13–110.0918%22 Aug →
ancient13–100.0311%19 Aug →
nuke14–160.0117%19 Aug →
dust23–0-0.030%19 Aug →
cache13–16-0.048%18 Aug →
ancient11–130.0310%17 Aug →
nuke13–80.0311%16 Aug →
mirage11–130.0320%15 Aug →
cache13–8-0.0216%15 Aug →
nuke8–13-0.0916%14 Aug →
cache13–50.0418%13 Aug →
vertigo3–9-0.1324%13 Aug →
debris9–10.2122%13 Aug →
mirage13–60.0220%12 Aug →
dust29–13-0.0817%12 Aug →
ancient11–130.0216%11 Aug →
ancient6–130.1213%10 Aug →
nuke7–13-0.0116%9 Aug →
nuke8–130.057%9 Aug →
nuke13–70.0521%7 Aug →
dust28–13-0.0215%7 Aug →
ancient13–110.0517%5 Aug →
cache13–70.0511%4 Aug →
anubis13–100.0318%2 Aug →
cache13–60.126%1 Aug →
anubis13–80.0715%31 Jul →
cache7–130.0320%30 Jul →
mirage10–13-0.0316%27 Jul →
cache15–15-0.0115%27 Jul →
dust21–13-0.094%23 Jul →
cache8–130.0312%23 Jul →
ancient13–4-0.047%22 Jul →
dust21–13-0.1022%21 Jul →
cache13–100.0214%21 Jul →
ancient13–160.017%20 Jul →
anubis7–13-0.0718%20 Jul →
nuke13–20.0414%20 Jul →
nuke5–130.048%19 Jul →
anubis9–13-0.0414%19 Jul →
dust210–13-0.0711%19 Jul →
ancient13–100.0719%18 Jul →
anubis3–13-0.019%17 Jul →
cache9–130.0413%17 Jul →
ancient13–100.0412%16 Jul →
nuke6–130.0013%15 Jul →
dust28–13-0.0219%15 Jul →
cache13–16-0.0318%14 Jul →
nuke13–9-0.0522%13 Jul →
cache6–13-0.0720%13 Jul →
nuke13–8-0.0423%12 Jul →
cache7–130.0020%12 Jul →
cache7–13-0.0115%12 Jul →
dust216–140.0223%11 Jul →
anubis13–110.047%11 Jul →
dust213–5-0.0713%10 Jul →
cache13–40.076%9 Jul →
cache10–130.0213%9 Jul →
cache13–50.0922%8 Jul →
cache3–13-0.018%8 Jul →
cache10–130.0918%7 Jul →
inferno9–50.0824%7 Jul →
ancient16–140.0511%6 Jul →
ancient4–00.0913%6 Jul →
cache13–110.0511%5 Jul →
cache7–13-0.0510%5 Jul →
overpass13–80.0513%3 Jul →
ancient3–13-0.077%1 Jul →
cache13–110.0113%30 Jun →
dust23–13-0.0436%30 Jun →
cache13–7-0.0011%29 Jun →
cache5–00.1130%29 Jun →
cache4–130.0224%29 Jun →

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 →

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