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berger

berger — CS2 Stats

AU76561198821294692[U:1:861028964]Steam profile ↗

170Tracked matches56%Win rate2026Tracked since
72Hours in CS
CSDB Rating3.7 Learning
Premier CS Rating10,483Blue band · top ~52.3% of ranked players (population est.)
CSDB Leaderboard#35735 of 50243 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate46.0%41.4%44.2%above
Shot accuracy0.0%9.0%11.6%11.6% short
Kill/death ratio0.780.971.030.24 short
Match win rate54.8%43.7%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGbergerPREMIER10,483 · Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning33
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWLTWWTWTWL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim3.9
Aggression2.3
Utility3.9
Positioning3.3
Opening Duels0.0

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 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 41% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim3.9
Positioning3.3
Utility3.9
Mechanics4.5
Opening Duels1.4
Win Impact6.9

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time589ms−109ms
first ⅓ avg 698ms → last ⅓ avg 589ms
Headshot accuracy13.4%+0.9%
first ⅓ avg 12.5% → last ⅓ avg 13.4%

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 — mirage 7–2
13–0Biggest win — inferno
6Longest win streak
7–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 91% over 11ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB4422–2250%-0.04
infernoC2310–1343%-0.04
nukeS1110–191%-0.03
ancientD93–633%-0.02
cacheC73–443%-0.02
dust2C52–340%0.02
anubis—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,076Lifetime kills
0.78K/D
197Matches
54.8%Match win rate · Top 5% of Blue band
46.0%Headshot % · Top 50% of Blue band
0.0%Shot accuracy
283MVPs
72Hours (in match)
244Bombs planted
58Bombs defused

Most-used weapons

AK-47606
M4A4 / M4A1-S525
P2000 / USP-S155
Glock-18144
AWP105
Desert Eagle80
SSG 0874
MAC-1063
MP961
Knife28

Lifetime map wins

429inferno
222nuke
143dust2
8vertigo
1ar_baggage

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

Skill profile

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

13.2%Headshot accuracy
30.4%Accuracy (enemy spotted)
33.0%Spray accuracy
70.3%Counter-strafing
12.0°Preaim
592msReaction time
13.1%T opening success
41.1%CT opening success
0.39Enemies flashed / flash
4.2%Flash assists
8.95HE damage / grenade
7.09Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0029° — above the 12° mark we flag

    Aim Training →
  2. 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 13.1752% — below the 15% mark we flag

    Aim Training →
  3. 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 0.388 — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–100.0318%30 Aug →
ancient11–13-0.0215%30 Aug →
cache15–15-0.034%28 Aug →
mirage13–8-0.095%28 Aug →
mirage13–30.0319%28 Aug →
mirage12–12-0.0616%24 Aug →
mirage13–9-0.0419%23 Aug →
inferno12–12-0.0014%23 Aug →
mirage13–80.0316%23 Aug →
mirage4–13-0.0713%23 Aug →
mirage13–5-0.0118%21 Aug →
nuke13–11-0.0312%21 Aug →
mirage13–10-0.085%21 Aug →
inferno7–10.078%21 Aug →
inferno13–7-0.0712%21 Aug →
mirage11–13-0.113%21 Aug →
mirage9–13-0.0112%21 Aug →
inferno10–130.0433%21 Aug →
mirage13–30.0428%21 Aug →
inferno13–3-0.0212%19 Aug →
mirage14–16-0.089%19 Aug →
mirage13–6-0.0414%19 Aug →
mirage9–13-0.0817%16 Aug →
inferno5–13-0.069%16 Aug →
mirage5–13-0.120%14 Aug →
mirage4–13-0.0727%14 Aug →
inferno2–13-0.097%14 Aug →
nuke13–6-0.058%14 Aug →
ancient3–13-0.0214%14 Aug →
nuke13–4-0.0011%14 Aug →
inferno13–10-0.046%14 Aug →
mirage16–130.0218%14 Aug →
ancient13–11-0.0318%13 Aug →
nuke13–10-0.017%13 Aug →
mirage9–13-0.0415%13 Aug →
mirage13–6-0.0210%13 Aug →
mirage13–5-0.0320%12 Aug →
inferno13–0-0.0535%12 Aug →
nuke13–5-0.079%12 Aug →
nuke13–11-0.0110%11 Aug →
mirage13–30.0620%11 Aug →
nuke8–13-0.017%10 Aug →
cache2–13-0.075%10 Aug →
mirage9–13-0.0217%10 Aug →
inferno6–13-0.0122%10 Aug →
mirage6–130.0018%10 Aug →
mirage13–11-0.052%10 Aug →
mirage7–13-0.0913%9 Aug →
mirage13–8-0.0319%9 Aug →
mirage13–00.0117%9 Aug →
inferno10–13-0.098%9 Aug →
nuke13–11-0.0114%9 Aug →
inferno13–6-0.073%9 Aug →
mirage13–3-0.0014%7 Aug →
inferno5–13-0.0316%7 Aug →
ancient11–130.002%6 Aug →
inferno2–13-0.087%6 Aug →
cache13–11-0.0214%6 Aug →
inferno15–15-0.059%6 Aug →
dust213–40.0717%6 Aug →
cache13–50.0218%6 Aug →
dust210–13-0.0417%6 Aug →
nuke13–4-0.0922%6 Aug →
inferno2–9-0.1510%4 Aug →
mirage11–13-0.0711%3 Aug →
mirage16–13-0.040%3 Aug →
mirage6–13-0.0315%3 Aug →
dust26–130.0211%3 Aug →
ancient16–14-0.0211%3 Aug →
mirage7–20.1319%3 Aug →
mirage6–13-0.063%3 Aug →
mirage10–2-0.0538%3 Aug →
inferno13–70.0116%3 Aug →
inferno13–40.078%3 Aug →
inferno6–13-0.0423%3 Aug →
cache9–13-0.0811%2 Aug →
mirage11–13-0.087%2 Aug →
ancient6–13-0.012%2 Aug →
mirage4–13-0.0725%1 Aug →
ancient11–13-0.0214%1 Aug →
anubis13–4-0.015%1 Aug →
nuke13–6-0.0415%31 Jul →
ancient10–13-0.057%31 Jul →
inferno13–4-0.099%31 Jul →
mirage5–13-0.093%31 Jul →
mirage7–13-0.0611%31 Jul →
mirage13–8-0.0114%31 Jul →
ancient5–0-0.060%31 Jul →
mirage16–120.0116%31 Jul →
mirage13–7-0.080%30 Jul →
inferno11–13-0.0412%30 Jul →
mirage12–12-0.086%30 Jul →
nuke13–9-0.0524%30 Jul →
mirage2–13-0.0529%30 Jul →
inferno13–10-0.0411%30 Jul →
dust213–20.0313%28 Jul →
dust210–130.0410%27 Jul →
inferno11–13-0.0211%26 Jul →
mirage9–13-0.0513%26 Jul →
cache6–130.0121%26 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 →

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