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south$ide

south$ide — CS2 Stats

BG76561198064654608[U:1:104388880]Steam profile ↗✓ No bans

1,482Tracked matches41%Win rate2021Tracked since
1,331Hours in CS
CSDB Rating5.1 DevelopingSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

+38Tracked matches · now 1,482
−3.4ppWin rate · 44.8% → 41.4%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 28 days played since 7 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

28Days played since 2026-07-07

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,017), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate46.7%41.3%41.9%above
Shot accuracy11.1%12.6%12.2%1.1% short
Kill/death ratio0.880.960.980.11 short
Match win rate44.1%42.5%43.3%meets

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsouth$ideFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning28
Utility44

0–100 skill scores via Leetify.

Recent form

COLD38–58–4Last 10038%Win rateLWLWTLLLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −7.8pp headshot accuracy · +27ms reaction

Win rate down 40pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 684ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 682ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 669ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim7.8
Utility4.4
Positioning2.8
Opening Duels0.0
Clutch2.2

Excellent counter-strafingStrong 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.

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower 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

Areas to improve

Positioning. Positioning trails aim by 50 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. 651ms 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
Positioning2.8
Utility4.4
Mechanics8.5
Opening Duels0.1
Win Impact2.1

Composite 5.1/10 (Developing), 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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time664ms−33ms
first ⅓ avg 697ms → last ⅓ avg 664ms
Headshot accuracy23.6%+3.0%
first ⅓ avg 20.6% → last ⅓ avg 23.6%

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

0.16Best match rating · 2–0 · anubis, 12 Sept →
44%Best headshot accuracy · 3–13 · inferno, 6 Sept →
438msFastest reaction time · 13–4 · inferno, 12 Sept →
13–2Biggest win · train, 14 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 58% over 12cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB209–1145%-0.01
nukeD174–1324%-0.03
anubisD175–1229%-0.03
ancientC135–838%-0.00
trainA127–558%-0.01
vertigoA74–357%-0.00
cacheD50–50%-0.03
overpass—42–250%-0.04
mirage—31–233%-0.06
dust2—21–150%-0.07

Across the last 100 tracked matches.

Lifetime stats

50,088Lifetime kills
0.88K/D
2,935Matches
44.1%Match win rate · Top 50% of Level 2 players
46.7%Headshot % · Top 25% of Level 2 players
11.1%Shot accuracy
5,209MVPs
1,331Hours (in match)
3,110Bombs planted
490Bombs defused

Most-used weapons

AK-4714,893
M4A4 / M4A1-S9,880
AWP4,645
P2000 / USP-S3,030
Galil AR2,562
Desert Eagle2,506
FAMAS2,462
Glock-182,395
MP91,568
MAC-101,510

Lifetime map wins

7,785dust2
6,744inferno
1,658nuke
1,150train
630vertigo
50office
50lake
47cbble

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

Faceit stats

Combat

103Matches
42%Win rate
0.85Avg K/D
60.8ADR
39%Headshot %

Clutches & streaks

31%1v1 clutch win
32%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1010%0.6110.7
Inferno650%0.8011.2
Ancient667%1.0413.7
Dust2425%0.6410.5
Anubis250%0.648.5
Train250%1.0015.5
Nuke1100%0.365.0

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.

24.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.4%Spray accuracy
88.3%Counter-strafing
8.2°Preaim
651msReaction time
16.3%T opening success
30.8%CT opening success
0.55Enemies flashed / flash
2.4%Flash assists
9.24HE damage / grenade
3.76Flashes / 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 3.7596 — 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 16.3024% — below the 40% mark we flag

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke12–16-0.0425%14 Sept →
ancient13–40.0217%14 Sept →
nuke0–3-0.060%14 Sept →
train13–20.0216%14 Sept →
ancient12–12-0.0517%13 Sept →
inferno7–13-0.1016%13 Sept →
dust27–13-0.0537%13 Sept →
overpass11–13-0.0433%13 Sept →
ancient11–13-0.0129%12 Sept →
cache5–13-0.0618%12 Sept →
train13–110.0134%12 Sept →
anubis3–13-0.1818%12 Sept →
inferno13–4-0.0230%12 Sept →
nuke13–5-0.0415%12 Sept →
anubis2–00.1633%12 Sept →
train13–8-0.0140%12 Sept →
nuke11–130.0228%11 Sept →
inferno10–13-0.0216%11 Sept →
vertigo2–00.1138%11 Sept →
anubis7–13-0.0534%11 Sept →
train13–9-0.1019%10 Sept →
vertigo13–3-0.0825%10 Sept →
overpass6–11-0.0511%10 Sept →
nuke6–13-0.0918%10 Sept →
ancient6–13-0.0531%9 Sept →
nuke4–13-0.0223%9 Sept →
inferno13–100.0526%9 Sept →
cache2–130.0439%8 Sept →
ancient13–70.0121%8 Sept →
vertigo8–13-0.057%8 Sept →
anubis12–12-0.0426%8 Sept →
inferno4–130.1124%8 Sept →
nuke13–50.0314%8 Sept →
train13–7-0.0131%8 Sept →
mirage4–13-0.089%6 Sept →
inferno3–13-0.0544%6 Sept →
cache9–130.0230%4 Sept →
inferno8–13-0.0721%29 Aug →
inferno8–13-0.0121%29 Aug →
train13–110.0138%29 Aug →
ancient13–3-0.0013%24 Aug →
inferno13–9-0.0621%24 Aug →
anubis13–30.0621%24 Aug →
vertigo5–13-0.0037%23 Aug →
anubis2–13-0.0625%23 Aug →
nuke13–10-0.0718%23 Aug →
train11–13-0.0543%13 Aug →
inferno13–70.0320%13 Aug →
inferno8–13-0.0434%12 Aug →
ancient13–60.1020%12 Aug →
nuke10–13-0.0025%12 Aug →
anubis9–130.0322%12 Aug →
anubis13–9-0.0717%8 Aug →
mirage6–13-0.0823%8 Aug →
inferno12–120.0019%8 Aug →
nuke11–13-0.0717%31 Jul →
anubis3–13-0.0313%31 Jul →
inferno13–8-0.0222%22 Jul →
anubis10–13-0.0729%20 Jul →
train13–80.0116%20 Jul →
inferno13–8-0.0131%20 Jul →
overpass13–11-0.0423%19 Jul →
nuke8–13-0.0615%19 Jul →
nuke10–130.0331%18 Jul →
vertigo1–13-0.0116%18 Jul →
vertigo13–5-0.0123%15 Jul →
ancient7–13-0.0437%15 Jul →
train5–13-0.0128%15 Jul →
inferno7–13-0.0223%15 Jul →
anubis13–30.0129%15 Jul →
ancient10–13-0.0526%15 Jul →
inferno5–3-0.0425%14 Jul →
anubis0–13-0.070%14 Jul →
dust29–11-0.0927%14 Jul →
train3–130.0514%14 Jul →
nuke8–130.0526%14 Jul →
ancient10–13-0.0218%14 Jul →
overpass13–10-0.0221%13 Jul →
anubis9–13-0.0317%13 Jul →
nuke8–13-0.0615%13 Jul →
ancient13–70.0430%13 Jul →
ancient9–130.0331%13 Jul →
train3–13-0.0718%12 Jul →
mirage13–8-0.0124%12 Jul →
inferno13–8-0.0719%10 Jul →
vertigo13–30.0223%9 Jul →
cache2–6-0.0830%9 Jul →
inferno11–130.009%9 Jul →
nuke13–7-0.0227%9 Jul →
cache5–13-0.0815%8 Jul →
nuke3–13-0.1114%8 Jul →
anubis3–130.0227%8 Jul →
ancient9–13-0.0527%7 Jul →
nuke6–13-0.0016%7 Jul →
train12–120.0317%7 Jul →
anubis11–13-0.0516%7 Jul →
anubis2–13-0.0411%7 Jul →
anubis13–2-0.0319%7 Jul →
inferno13–90.1121%7 Jul →
inferno8–13-0.0219%7 Jul →

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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